Machinability and Geometric Evaluation of FFF-Printed PLA-Carbon Fiber Composites in CNC Turning Operations

Featured Application

This study supports the use of turning as a viable post-processing method to improve the surface quality and dimensional accuracy of PLA-CF components fabricated by Fused Filament Fabrication, enabling their integration into functional mechanical assemblies where tighter tolerances and smoother surfaces are required. Potential applications include manufacturing custom-fit components for robotics and biomedical devices, as well as lightweight structural parts, in prototyping and small-batch production environments. Combining the flexibility of additive manufacturing with the precision of machining offers high-performance solutions with reduced lead times.

Abstract

Fused Filament Fabrication (FFF) enables the manufacturing of complex polymer components. However, surface finish and dimensional accuracy remain key limitations for their integration into functional assemblies. This study explores the potential of conventional turning as a post-processing strategy to improve the geometric and surface quality of PLA reinforced with carbon fiber (CF) parts produced by FFF. Machinability was evaluated through the analysis of cutting forces, thermal behavior, energy consumption, and surface integrity under varying cutting speeds, feed rates, and specimen slenderness. The results indicate that feed is the most influential parameter across all performance metrics, with lower values leading to improved dimensional accuracy and surface finish, achieving the most significant reductions of 63% in surface roughness (Sa) and 62% in cylindricity deviation. Nevertheless, the surface roughness is higher than that of metals, and deviations in geometry along the length of the specimen have been observed. A critical shear stress of 0.237 MPa has been identified as the limit for interlayer failure, defining the boundary conditions for viable cutting operation. The incorporation of CNC turning as a post-processing step reduced the total fabrication time by approximately 83% compared with high-resolution FFF, while maintaining dimensional accuracy and enhancing surface quality. These findings support the use of machining operations as a viable and efficient post-processing method for improving the functionality of polymer-based components produced by additive manufacturing.

1. Introduction

Additive manufacturing (AM) has emerged as a manufacturing process that offers greater design freedom, material efficiency, and the ability to produce complex geometries in advance of traditional manufacturing processes [1]. Although the initial application of AM was focused on its use for rapid prototyping, with continued advances in materials, hardware, and process control, AM has evolved into a robust manufacturing method capable of producing functional end-use components with mechanical properties and precision suitable for industrial applications [2,3].

Among the various additive manufacturing technologies, Fused Filament Fabrication (FFF) is widely used due to its accessibility, versatility, and cost effectiveness. FFF allows using a wide range of materials, which makes it possible to adapt to varying functional and structural requirements [4]. This flexibility makes it suitable for applications ranging from model making to high-performance parts used in demanding environments.

With the capabilities of FFF manufacturing technology continuously advancing, there has been a growing focus on developing and utilizing reinforced materials to overcome some of the inherent limitations of standard filaments [5]. The incorporation of reinforcing, such as fibers, particles, or blends, has been shown to be an effective strategy for enhancing the mechanical, thermal, and dimensional stability of printed components [6,7], thereby expanding the range of functional applications for FFF-manufactured parts.

Among the different reinforced materials, polylactic acid (PLA) reinforced with short carbon fibers has emerged as a material of choice [8]. This material combines the ease of processing and printability of PLA with the enhanced mechanical properties provided by carbon fiber reinforcement [9,10]. Furthermore, PLA is a biodegradable material under controlled conditions, making it one of the most environmentally sustainable materials used in additive manufacturing. Incorporating carbon fibers into the PLA matrix can be achieved without significantly compromising this sustainability profile, providing a balanced solution that supports both technical performance and environmental responsibility [11,12].

Recent studies on the processing of carbon fiber-reinforced composites (CFRCs) have demonstrated significant improvements in both mechanical and thermal performance, expanding their applicability in structural applications [13,14]. In the context of additive manufacturing, the incorporation of short or continuous carbon fibers (CF) into thermoplastic matrices has been widely investigated to enhance strength, stiffness, and thermal stability. The content, orientation, and interfacial bonding of the fibers have been identified as critical processing parameters that influence the final properties of CFRCs. In addition, post-processing techniques such as thermal treatments and subtractive machining have been applied to improve surface finish and dimensional accuracy in printed CFRC components [15,16].

Surface finish is a critical aspect of any manufactured part as it directly influences its aesthetic appearance, functional performance, and dimensional accuracy. In addition, the surface topography can affect properties such as friction, wear resistance, sealing ability, and even mechanical strength [17,18,19].

Achieving an appropriate surface finish is often essential for the part to meet industrial requirements or to be integrated into larger assemblies without further modification. Consequently, improving the surface finish is often necessary to ensure functionality, reliability, and performance. This has led to increased interest in post-processing techniques such as mechanical finishing, chemical smoothing, or hybrid manufacturing strategies [20,21].

Compared with conventional processes such as injection molding, additive manufacturing via FFF (also known as Fused Deposition Modeling, FDM) enables the production of functional parts in a fast and cost-effective manner, especially for prototyping or small-batch production [22]. This technology eliminates the need for molds or tooling, reduces initial costs, and allows for rapid design iteration. Its ability to manufacture complex or customized geometries makes it a suitable alternative when flexibility and personalization are prioritized over mass production.

Despite the numerous advantages offered by FFF, one of its most notable limitations is the poor surface finish of the printed parts. Due to the layer-by-layer deposition process, surfaces often exhibit visible layer lines, step effects, and texture variations, especially on sloped or curved geometries [23]. These surface irregularities can compromise the functionality of the part in precision assemblies or in applications where smooth surfaces are critical [24].

A common strategy for improving surface quality in FFF is to reduce the layer height. However, the total printing time increases significantly as more layers are required to build the same geometry [25]. This trade-off between surface quality and production efficiency limits the scalability of the process, particularly in industrial contexts where time and cost are critical factors. Therefore, the application of complementary post-processing solutions can improve surface quality without negatively impacting the manufacturing process.

In this sense, machining can be considered as a viable post-processing strategy to improve the surface finish and dimensional accuracy of FFF manufactured parts, producing smooth surfaces and fine tolerances in a reduced manufacturing time. This makes machining an effective and flexible post-processing solution, particularly when it is essential to maintain both mechanical integrity and surface finish.

Machining processes have been extensively studied in the context of metals [26,27,28]. Nevertheless, there is significantly less research focused on the machining of polymers, especially those produced by additive manufacturing. Polymers exhibit different behavior under cutting conditions due to their lower thermal conductivity, viscoelastic properties, and heterogeneous microstructures [29]. In this context, the concept of machinability provides a comprehensive framework for evaluating how a material responds to machining. The assessment of machinability includes not only the resulting surface quality, but also the thermal and mechanical loads generated during the process, as well as its energy efficiency [30,31]. These parameters provide valuable insight into both the performance of the machining process and the response of the material and can be used to optimize cutting conditions for improved results.

The literature shows a set of research that evaluates the machining of PLA samples obtained by different manufacturing processes. The PLA components milling has been studied, particularly regarding the effect of cutting parameters on surface quality and structural performance. It has been observed that increasing the cutting speed tends to reduce cutting forces, although it may lead to a deterioration in surface finish due to thermal softening effects [32]. Conversely, higher feed rates consistently result in greater surface roughness. In the case of FFF-printed PLA, fine milling operations have proven effective in reducing roughness, and regression models have been developed to predict roughness values based on process parameters [33]. Milling has also been shown to significantly improve surface finish; however, it can negatively impact mechanical strength when material is removed close to the load-bearing outer perimeter of the printed part [34].

Drilling has also been considered in the machining of PLA. Studies on PLA reinforced with bronze nanoparticles fabricated by FFF showed that the material removal rate increases with tool diameter, spindle speed, and feed rate; however, these parameters also led to high levels of delamination, particularly at higher feed values, which was identified as the most influential factor on overall hole quality [35]. Similar conclusions were described from micro-drilling optimization using Response Surface Methodology, where feed and width of cut were the dominant variables affecting both material removal and delamination, while spindle speed had a more moderate impact [36].

The influence of tool geometry was also examined in dry drilling of PLA composites reinforced with short carbon fibers, revealing that step drill bits significantly improved productivity compared with conventional twist drills, compensating for the reduced machinability associated with fiber reinforcement [37]. Additionally, drilling tests on PLA composites reinforced with natural fillers (sawdust, rice husk, and bagasse) confirmed the strong influence of feed and drill diameter on delamination and surface finish. Among these, PLA with bagasse yielded the best surface quality and mechanical performance [38].

In the context of turning operations, research has mainly focused on other polymers than PLA, focusing on how machining strategies influence surface integrity and dimensional precision. One research analyzed the machinability of polyamide 6 (PA6) under CNC turning using both conventional and cryogenic cooling. It was found that increasing cutting speed and depth of cut under flood conditions raised the surface temperature, leading to thermal softening and continuous chip formation, whereas cryogenic cooling enhanced surface hardness and modified chip morphology [39].

Another investigation assessed the effect of dry turning on PETG parts manufactured by FFF. Results showed that surface roughness and roundness errors were significantly reduced after machining, especially when lower feed and smaller layer heights were used during printing. These findings support the use of dry turning as an effective strategy to improve the quality and dimensional accuracy of printed PETG components [40].

Although numerous studies have addressed the machining of PLA, most of the existing research has focused on milling and drilling operations, while turning remains largely unexplored, despite being particularly suitable for parts with rotational symmetry. Furthermore, while some works have begun to assess the machinability of PLA and its composites, there is still a lack of in-depth investigation into the influence of cutting parameters on key indicators such as cutting forces and temperature. In addition, energy consumption during polymer machining has not been systematically evaluated, even though it is a critical factor in process efficiency and sustainability.

Surface roughness has received attention in the literature; however, studies rarely explore its correlation with a wide range of cutting parameter combinations, limiting the understanding of how process settings affect surface quality. Similarly, form errors and dimensional deviations in machined PLA parts have not been extensively addressed, even though the low stiffness of PLA composites may make them more susceptible to deformation during cutting, ultimately affecting the dimensional accuracy and functional integrity of the final part.

Given the limited understanding of the machinability of PLA-based materials, particularly in components with slender geometries, this study explores the use of turning as a post-processing operation aimed at improving the quality of parts produced through FFF. This technology often results in components with limited surface finish and dimensional accuracy, especially when produced at low resolutions. Although turning is commonly applied to rotational parts, its suitability for thermoplastic composites like PLA reinforced with CF remains insufficiently studied. This work addresses that gap by evaluating critical machinability indicators, including cutting forces, temperature, energy consumption, and surface integrity, under various cutting conditions. The overarching goal is to determine whether turning can be effectively integrated as a complementary post-processing step within additive manufacturing workflows, with the ultimate objective of enhancing overall productivity through improved surface and geometric quality.

2. Materials and Methods

The material used in this study was a polylactic acid (PLA) matrix composite that had been reinforced with short carbon fibers (CFs). The selection of carbon fiber provides better mechanical properties in comparison with unmodified PLA, including increased stiffness, strength, and dimensional stability. Additionally, the PLA matrix possesses the advantage of a biodegradable material.

The initial sample geometry for this study was a solid cylindrical specimen designed for further processing by turning operations, the geometry of which can be related to rotational components of mechanisms such as a drive shaft. The initial geometry of the specimens was a solid cylinder with an outer diameter of 20 mm and a total length of 200 mm. These dimensions were selected to represent a slender part configuration, where the length-to-diameter ratio introduces a structural limitation during machining. This setup increases the risk of deflection or fracture under cutting forces, thus allowing the evaluation of machinability under mechanically demanding conditions. The sample was manufactured by additive manufacturing using FFF technology. A specific printing strategy was adopted in which the part was built in a vertical orientation so that the material was deposited layer by layer in a direction perpendicular to the axis of revolution.

This configuration was chosen for two main reasons. First, it eliminates the need for support structures, simplifying the manufacturing process and minimizing the risk of surface defects caused by contact with the support material. Second, this orientation allows the subsequent turning operation to interact directly with the interlayer planes, which are often the weakest regions of FFF-printed components, allowing for an assessment of any post-processing limitations. In addition, the chosen geometry results in a length-to-diameter (L/D) ratio, which can be a limiting factor due to bending deformation that can occur during machining, especially at higher cutting loads. This feature is expected to influence the machinability and surface quality of the final part, so it was also taken into account for the evaluation of the feasibility of turning as a post-processing operation for PLA-CF parts manufactured with FFF.

The specimens were manufactured using a Raise3D Pro2 FFF printer (Raise3D Technologies, Inc. Irvine, CA, USA). The slicing and process control were performed using the ideaMaker software (Version 4.3.1). The manufacturing conditions applied in the printing process can be observed in

Table 1. FFF manufacturing settings for PLA-CF specimens.

Manufacturing Setting	Value
Extrusion temperature	210 °C
Heated bed temperature	80 °C
Extrusion speed	70 mm/s
Layer thickness	0.30–0.05 mm
Infill density	100%
Nozzle diameter	0.40 mm

.

The samples were manufactured using two different layer heights. One sample was printed with a layer height of 0.05 mm, considering a finer layer resolution because it contributes to improving dimensional accuracy and surface quality in FFF-printed components [41]. However, this high resolution of the specimen means an increase in manufacturing time, being in this case necessary a time of 24 h and 35 min, reducing the manufacturing efficiency in a high number of parts. Therefore, to explore the use of machining as a post-processing strategy to improve surface characteristics and reduce printing time, a set of samples was fabricated using a thicker layer height of 0.30 mm. This adjustment resulted in a substantial reduction in fabrication time, reducing it to 4 h and 9 min.

Once the specimens were manufactured by FFF, they were subjected to a longitudinal turning operation in order to evaluate the feasibility of machining as a post-processing strategy. The turning operation was carried out on an EMCO EMCOTURN E45 CNC lathe(EMCO GmbH, Hallein, Austria). The machining was performed in dry conditions by environmental reasons, but with the application of compressed air directed at the cutting zone.

The use of compressed air served to facilitate chip evacuation and to prevent chip adhesion to the turned surface. Preliminary tests revealed that the elevated temperatures generated during the cutting process could cause softened PLA chips to stick to the turned machined surface, affecting the surface finish. The airflow prevented this by removing the chips from the cutting area as they formed.

The cutting tool used in the turning operation was a DCMT 11T308-14 IC20 insertISCAR Ltd. Tefen, Israel), manufactured by Iscar, and mounted on an SDJCR 2020K11 tool holder(Sandvik Coromant, Sandviken, Suecia). The insert geometry corresponds to a 66° principal cutting edge angle, which was specifically selected to prevent tool interferences that can occur when reducing the diameter of the workpiece, thereby minimizing the risk of local deformation or dimensional inaccuracies during the turning process. In addition, this tool orientation causes the resulting forces to have a significant component between layers of the FFF-printed material, generating stresses between adjacent layers, which increases the risk of delamination or fracture. This condition is intentionally introduced to evaluate the structural integrity of the material undergoing machining and to assess the feasibility of turning as a post-processing operation for fabricated PLA-CF parts. Other cutting geometry characteristics are shown in

Table 2. Tool geometry data for turning operations.

Cutting Tool Geometry	Value
Relief angle (α)	7°
Cutting edge angle (β)	66°
Rake angle (γ)	17°
Major cutting edge angle (κr)	62.5°
Insert include angle (ε)	55°
Nose radius	0.8 mm

.

A set of cylindrical turning operations was performed by combining two cutting speeds (v_c) and two feed rates (f), remaining constant the depth of cut (a_p), whose values can be observed in

Table 3. Cutting parameter values for turning operations.

vc (m/min)	f (mm/rev)	ap (mm)
50–200	0.05–0.20	1

. The selected cutting parameters have been defined to explore the machinability of PLA-CF under representative boundary conditions. The cutting speed and feed values were selected based on ranges reported for polymer [42,43], as well as preliminary tests aimed at ensuring chip formation and structural integrity during cutting. The objective was to assess both low-load and high-demand machining scenarios within the capabilities of workpiece material. A constant depth of cut was maintained to isolate the effects of v_c and f on thermal, mechanical, and geometric responses.

Each parameter combination was applied to a single specimen. However, since machining is a continuous process, measurements were acquired throughout the entire cutting length and along the resulting surface. This allowed the reproducibility and consistency of the process to be assessed within each test, based on the thermal, mechanical, and geometrical responses observed.

Turning operation was carried out along a machined length of 150 mm on the cylindrical surface of the specimen. The machining operation conditions were repeated for each of the combinations of cutting parameters, reducing in each case the final specimen diameter until part failure occurred.

This approach provides a better understanding of the mechanical limitations of machining PLA-CF fabricated by FFF as a post-processing method. It is important to notice that all machining tests were performed using the same cutting edge, as no visible tool wear or degradation was observed. This ensured that the results were not influenced by changes in tool condition, allowing for a consistent evaluation of machining performance under varying process parameters.

To evaluate the machinability of PLA-CF components manufactured by FFF, real-time measurements (on-line monitoring) were taken of three key process values: temperature in the cutting zone, cutting forces, and electrical energy consumption (Figure 1), to characterize the thermal, mechanical, and energetic responses of the material throughout the machining process.

The measurement of cutting temperature was carried out using a FLIR A305sc infrared thermal imaging camera, positioned to ensure a clear view of the tool–workpiece interface. The emissivity of the carbon fiber-reinforced PLA material was determined in accordance with the UNE-EN ISO 4288:1998 standard [44], which provides guidelines for assessing surface characteristics relevant to infrared thermography. This calibration step provided a value of 0.95 for the PLA-CF emissivity. The thermographic data were processed using FLIR ResearchIR software (Version 4.40.11.35), which enabled frame-by-frame analysis and extracted the cutting zone temperature.

The cutting forces were measured with a Kistler 9257B piezoelectric dynamometer, obtaining the value of three orthogonal force components: Fx (passive forces), Fy (cutting forces), and Fz (feed forces). These forces were recorded continuously throughout the machining cycle to evaluate the mechanical load on both the tool and the workpiece. The DynoWare software (Version 2.6.5.16) was used to record and visualize the force data. From the collected data, average force values were considered for each cutting parameter combination for a cutting length of 150 mm.

The electrical energy consumption during the turning process was evaluated to determine the influence of the cutting parameters on the machining. This parameter complements the machinability assessment by providing information on the energy efficiency and sustainability of the process. The measurement process was performed with a Fluke 1732 network analyzer, which was connected to the power supply of the machining system, obtaining the electrical power (P) and the energy consumption per second (E). Data acquisition was analyzed using the Fluke Energy Analyze Plus software (Version 3.11.2).

Once the machining process had been carried out, an off-line evaluation was conducted to assess the geometrical quality of the machined parts and a chip morphology analysis (Figure 2).

A representative sample of the chip was collected to carry out the morphological analysis. Care was taken during collection to avoid altering the shape or surface characteristics of the chip, ensuring that the sample reflected the cutting process conditions. The morphological analysis was performed using a ZEISS Stereo Optical Microscope (SOM) (Carl Zeiss AG, Oberkochen, Germany) equipped with an AxioCam digital camera. This image process enabled a qualitative assessment of chip formation and helped identify the effects of different cutting parameters on chip morphology. The visual information obtained supported the interpretation of the machinability of PLA-CF and complemented the analysis of cutting forces and surface finish.

The geometry analysis was structured into three levels: Dimensional Accuracy Assessment, Macrogeometric Deviation Evaluation, and Microgeometric Deviation Characterization. These levels are used to evaluate the impact of the turning operation on the final geometry of FFF-manufactured parts. In addition, the chip observation allows for completing the machinability analysis carried out in the on-line monitoring results.

To evaluate the dimensional accuracy of the machined PLA-CF specimens, a series of measurements were made with a digital micrometer (0–25 mm, resolution 0.001 mm). Each specimen was measured in 16 axial sections distributed along the machined length, spaced 10 mm apart. In each section, four diameter measurements were taken at different orientations. The aim of this measurement was to quantify the local deviation by analyzing how the measured diameter varies along the length of the part. The data collected provided insight into how turning affects the geometric accuracy of PLA-CF parts printed with FFF, especially in slender geometries.

The evaluation of form deviations was carried out using a Rondcom Nex form measuring system (ACCRETECH) (Tokyo Seimitsu Co., Ltd. Tokyo, Japan). The software ACCTee (Version 2.4.) as used for data acquisition, and analysis, following ISO 1101:2017 [45].

The analysis was focused on three form parameters: roundness (RON), straightness (STR), and cylindricity (CYL). RON was measured at 15 axial sections, spaced 10 mm apart, along the machined specimen length. RON value was obtained by the least-squares circle fitting method, in accordance with ISO 12181-2:2011 [46]. To evaluate STR, 12 generatrix profiles were recorded along the cylindrical surface, distributed at angular positions of 0°, 90°, 180°, and 270° and taken at three heights. The least-squares line fitting method was applied to determine the deviation for each profile. Based on the RON and STR data, the cylindricity (CYL) was calculated as the total volumetric deviation combining radial and axial form errors.

Finally, the surface roughness of the machined PLA-CF specimens was assessed using the confocal optical microscope Alicona Infinite Focus(Bruker Alicona, Raaba, Austria), which enables high-resolution, non-contact 3D measurement of surface topography. The system was calibrated prior to each measurement session, and image acquisition and processing were carried out using the Alicona MeasureSuite software (Version 3.7). To ensure accurate evaluation of the roughness parameters, the cylindrical shape of the specimen was digitally removed using the form elimination tool, and a new reference plane was established. The surface roughness parameters were computed in accordance with ISO 25178-3:2012 [47], focusing on the surface arithmetical mean height (Sa) and the surface maximum height (Sz).

3. Machinability Analysis

This section presents the analysis of machinability variables measured during the turning of PLA-CF specimens, focusing on cutting temperature, cutting forces, energy consumption, and chip morphology. Each of these aspects is discussed to understand the thermo-mechanical behavior and evaluate the suitability of machining as a post-processing operation for additively manufactured PLA composites.

During the experimental procedure, all samples machined to a 12 mm diameter exhibited fracture during machining. This behavior is attributed to the combination of low interlaminar strength, reduced cross-sectional area, and increased slenderness, which together compromise the specimens’ ability to withstand the flexural stresses and shear forces induced during cutting. This observation highlights the critical influence of part geometry on the material response to machining loads.

3.1. Temperature

Figure 3 shows the average temperature recorded throughout the entire cutting length during the turning operation for each cutting parameter and reflects the thermal behavior of the process. Results exhibit a strong dependency on the cutting speed (v_c), which proved to be the most influential parameter in the generation of heat within the cutting zone. As v_c increased, a significant temperature increase can be observed, independently of the feed rate (f) or final workpiece diameter (D). This effect is attributed to the increase in the relative velocity between the cutting edge and the material, which intensifies the shear strain rate and frictional interactions between the tool and the material. Although chip removal acts as a primary mechanism of heat dissipation during cutting, the v_c increase leads to greater energy input per unit time, which exceeds the capacity of the chip to evacuate the generated heat [48]. Moreover, the low thermal conductivity of PLA-CF restricts heat transfer into the chip and surrounding material, resulting in localized thermal accumulation at the tool–material interface. These thermal conditions promote elevated plastic deformation and increased conversion of mechanical energy into heat, particularly in thermoplastic composites such as PLA-CF, where the low thermal conductivity intensifies the formation of localized temperature peaks [49].

In addition to v_c, the D reduction also contributes to the observed thermal behavior. Although v_c was held constant, the decrease in diameter required a proportional increase in spindle speed (S) to maintain the v_c value. This rise in rotational velocity further enhanced friction and thermal accumulation, particularly during the final passes on smaller diameters, where the highest temperature values were recorded.

Regarding feed rate (f), its influence was less pronounced than that of v_c. Temperature tends to decrease as f increases from 0.05 to 0.20 mm/rev. This is attributed to the shorter contact time between the tool and each point on the workpiece, which limits localized heat input and allows faster chip evacuation. Although this trend may differ from what is commonly observed in metals, it is consistent with the thermoplastic behavior of PLA-CF, and was confirmed by low standard deviation values across the temperature data, indicating stable thermal response.

Together, these observations highlight the critical role of cutting speed in thermal generation, while also revealing the mitigating effect of increased feed rate under otherwise identical machining conditions. Therefore, elevated v_c values establish a thermal condition that must be carefully managed to avoid the softening or degradation of the printed material during post-processing.

A critical thermal threshold in the machining of PLA-CF is the material glass transition temperature (Tg), typically situated between 60 and 65 °C [50]. In the present study, the lowest temperature recorded during the turning operations was 82.38 °C, which clearly exceeds the Tg range. This implies that the material enters a softened state during machining, leading to reduced mechanical stiffness and increased surface tackiness. This condition favored the adherence of chips to the freshly machined surface, particularly in the absence of forced chip evacuation. This fact led to compressed air jets being used during the process. Its function was dual: on the one hand, it contributed to reducing the temperature in the cutting zone by enhancing convective cooling; on the other hand, it facilitated chip evacuation, preventing the accumulation and fusion of thermally softened material on the surface. Despite this intervention, the cutting temperature remained above Tg, confirming the necessity of additional thermal management strategies when machining PLA-based composites. The use of air was therefore essential not only to improve the process stability, but also to preserve the surface quality by avoiding chip adhesion on the workpiece.

The influence of cutting parameters in thermal behavior is in good agreement with findings reported across different material classes, supporting the generality of the observed trends. In thermoplastics such as PEEK, temperature has been shown to increase with S and decrease with f due to reduced exposure time and improved chip removal at higher feed values [51]. Similarly, in fiber-reinforced composites like CFRP, higher v_c has been associated with elevated cutting temperatures, which are critical for surface integrity when operating near the glass transition temperature [52]. Recent studies on aerospace-grade metals further confirm this behavior. In the machining of Ti6Al4V and Inconel 718, v_c was identified as the primary factor affecting tool temperature, while f played a secondary role in heat accumulation [53]. These observations across polymers, composites, and metals reinforce the idea that the thermal behavior observed is an inherent characteristic of the cutting process itself. The mechanisms of heat generation are fundamentally governed by cutting dynamics, making these effects material independent and intrinsically linked to process parameters.

3.2. Machining Forces

To evaluate the mechanical interaction between the tool and the workpiece during machining, the three main components of the cutting force were measured: the passive force (Fx), the cutting force (Fy), and the feed force (Fz). Based on the measured values, the resultant (R) was calculated by combining the three orthogonal components. This resultant force reflects the overall magnitude of the mechanical effort required during the turning operation. The results obtained for each individual force component, along with the calculated resultant force, are presented in Figure 4 as a function of cutting parameters for different final diameters.

The Fx values (Figure 4a) showed a progressive decrease with increasing v_c, regardless of f and D, reflecting the influence of temperature on the dynamic behavior between the tool and the material. As temperature increases, PLA-CF exceeds its Tg, leading to a softening of the polymeric matrix that increases the plasticity of the material, and therefore, the mechanical shear strength is reduced.

The f effect was less pronounced. In general, slight decreases in Fx can be observed when increasing f, especially at lower v_c. Although an increase in undeformed chip thickness might suggest a rise in cutting resistance, this trend was not reflected in the passive force, likely due to the compensatory thermal effects that dominate under these conditions.

A gradual decrease in Fx can be noted as D decreased from 18 mm to 14 mm. This behavior remained consistent with the temperature reduction observed in the cutting process.

The Fy component (Figure 4b) exhibited a clear sensitivity to both v_c and f. Among all the force components, Fy showed the highest variation in response to changes in process parameters, reflecting its strong dependence on chip thickness and material removal mechanics. The most significant trend corresponds to the f increase, increasing the value of Fy. This behavior is consistent with classical machining theory, where a greater chip thickness has required more energy for material separation, increasing cutting force.

The v_c influence on Fy is more complex. At low f values (0.05 mm/rev), an increase in v_c led to a notable reduction in Fy, confirming that thermal softening of the PLA matrix plays a key role in reducing cutting resistance. However, at higher f (0.20 mm/rev), the effect of temperature was less important, with the mechanical load being dominant. This indicates that the interaction between thermal and mechanical effects must be considered together in the force analysis.

Regarding specimen final diameter, the difference in Fy is less noticeable than for the cutting parameters. A general decrease can be observed as D decreased, particularly at lower v_c. This fact is attributed to reduced engagement and the increase in thermal dissipation but also points to a reduced structural resistance of the material under high cutting demands.

The Fz component (Figure 4c) showed moderate values compared with Fy but showed consistent trends in relation to the cutting parameters and specimen geometry. Contrary to the behavior typically observed in metallic materials, increasing f did not result in a significant increase in Fz. In several cases, even a slight reduction was observed due to the thermomechanical behavior of PLA-CF. Higher f values increase the chip thickness and material removal rate, which can raise the overall heat generation. However, due to the shorter contact time per revolution of the cutting tool with the material and the improved chip evacuation, localized thermal buildup can be reduced, allowing the material to deform more easily in the feed direction. Therefore, the axial resistance does not increase proportionally with the feed rate and, in some cases, decreases [54].

Regarding the influence of v_c, a general decrease in Fz can be observed as v_c increased, particularly at lower f. This trend reflects the thermal softening of PLA-CF as the temperature exceeds its Tg, which reduces the axial strength of the material. As for the specimen diameter, the effect was less clear. Although Fz tends to decrease slightly as D decreases, especially at low v_c and f, some exceptions were observed. This variability is due to the interaction between the reduction in contact area and the increase in slenderness, which may result in a reduction or a slight increase in axial loads depending on the cutting conditions [55].

The resultant cutting force (R) was obtained by vectorial combination of the three orthogonal components measured during the process. Therefore, R reflects the combined effect Fx, Fy, and Fz forces. Its evolution across the different cutting conditions offers an integrated view of the overall mechanical load acting on the tool during the turning operation.

In general, the R results revealed that Fy had the strongest influence, as it consistently represented the largest contribution. Variations in Fx and Fz, had a comparatively smaller impact, particularly at high v_c, where their values were significantly reduced.

As D decreased, R followed a gradual downward trend, in line with the reductions observed in all three components. This further confirms that the calculated R is a reliable indicator of the overall force environment in the cutting zone. Its dependence on Fy also highlights the relevance of controlling the cutting load directly, especially in processes involving reinforced thermoplastics, where surface quality and dimensional stability are strongly affected by the interaction between the tool and the material.

As part of the experimental plan, this work aimed to assess the machining capacity of PLA-CF parts by gradually reducing the final diameter of the specimens during the turning process. The objective was to identify the geometric and mechanical limits beyond which the structural integrity of the material could no longer withstand the loads induced by the cutting process. During these trials, it has been found that machining specimens down to 12 mm in diameter consistently led to catastrophic failure before the operation could be completed. In all cases, fracture occurred along the layer interfaces, highlighting the critical role of interlaminar bonding in the structural behavior of the sample.

The failures were not caused by an increase in cutting force magnitude, but rather by the reduction in cross-sectional resistance. Considering the resultant cutting force in the XY plane (Rxy), calculated from Fx and Fy (Equation (1)), this value tends to decrease with diameter. Nevertheless, due to the cross-sectional area decreased, the calculated shear stress (σ) increased (Equation (2)), as can be observed in

Table 4. Rxy resultant and shear stress values in the interlayer FFF sample during turning operation.

D (mm)	Rxy (N)	σ (MPa)
18	46.30	0.182
16	39.84	0.198
14	36.51	0.237

. Therefore, based on the values obtained in this study, a shear stress of 0.237 MPa can be considered a practical upper limit for the interlaminar shear strength of PLA-CF specimens manufactured by FFF. This value reflects the maximum resistance the material can offer between layers before failing under combined mechanical and thermal loads during the turning process.

$$Rxy=\sqrt{{Fx}^2+{Fy}^2}$$

(1)

$$\sigma ={\displaystyle \frac{Rxy}{\pi ·D^2}}$$

(2)

3.3. Power and Energy Consumption

In Figure 5, the results obtained in the active electric power (P) and the energy consumption (E) in the turning process can be observed.

The P evolution recorded during the turning operations revealed a clear dependence on the cutting parameters, particularly on v_c. In all tested configurations, an increase in v_c resulted in a noticeable rise in P. This behavior is in good agreement with the higher spindle speeds required, which lead to a greater electrical demand. Moreover, higher v_c intensifies friction, requiring more power in the spindle rotation to withstand the mechanical resistance generated during the cutting process.

Although cutting forces decrease with diameter (Figure 4), the increase in power consumption is mainly due to the higher spindle speeds required to maintain constant v_c. Given that cutting forces in PLA-CF are much lower than in metals, their increase at higher cutting parameters is not sufficient to explain the rise in power demand.

The f influence on P is more moderate and less systematic. In some cases, increasing f led to a slight increase in power, while in others, the values remained relatively constant or even decreased. This irregularity can be associated with the combined effect of reduced cutting time and more efficient material removal at higher f, which partially offsets the rise in instantaneous mechanical load. As f increases, the contact time between tool and material per unit length decreases, which reduces frictional losses and thermal buildup, contributing to a more efficient process.

Regarding the influence of D, a tendency toward increased power demand was observed as the diameter decreased, particularly under high-speed conditions. Although the reduction in cutting forces might suggest a decrease in mechanical resistance, the higher spindle speeds required to maintain a constant v_c at smaller diameters result in increased rotational energy and, hence, higher power draw from the spindle drive.

The analysis of E reveals that, independently of P, cutting parameters with longer machining times (low v_c and low f) result in higher total energy consumption P. This is because the reduction in material removal rate at low values of v_c and f extends the operation and leads to higher cumulative energy consumption.

Conversely, increasing the feed rate significantly reduced the energy required to complete each machining pass. This reduction is not only due to shorter processing times, but also due to the improved cutting efficiency achieved at higher feeds, where material is removed more aggressively and the tool–material interaction time per unit length is reduced. These conditions favor a more efficient use of electrical energy, especially when combined with moderate spindle speeds.

These results reflect the complex interplay between kinematic and energetic aspects of the turning process and underline the importance of considering both tool–material interaction and machine dynamics when analyzing power consumption in the post-processing of FFF-manufactured PLA-CF components. The observed trends also suggest that minimizing cutting speed and optimizing feed rate could be effective strategies for reducing energy consumption during machining, without compromising surface quality or process stability.

3.4. Chip Observation

To further understand the material behavior during the machining process, chip morphology was analyzed by capturing Stereo Optical Microscope (SOM) images of the chips generated under different cutting conditions. The resulting images are shown in Figure 6 and correspond with the cutting parameters’ combination.

At low v_c (50 m/min) and low f (0.05 mm/rev) (Figure 6a), the chip exhibits a continuous ribbon shape with moderate curvature and a relatively smooth surface. This morphology reflects a stable mechanical chip formation process with limited thermal influence. The material remains in a solid state, and plastic deformation dominates, consistent with the higher cutting forces previously recorded for this condition.

When f is increased to 0.20 mm/rev (Figure 6b) at the same v_c, the chip remains continuous, but it becomes noticeably thicker and slightly rougher. The morphology indicates an increase in chip volume, as expected with higher material removal, while still maintaining structural integrity due to the limited temperature rise at low v_c. No significant fragmentation or thermal degradation is observed, and the chip formation remains mechanically controlled.

In contrast, the chip generated at v_c = 200 m/min and f = 0.05 mm/rev (Figure 6c) shows an irregular structure with signs of local delamination, tearing, and partial fusion. The morphology suggests that the cutting temperature exceeded Tg, leading to excessive softening of the PLA matrix and a loss of cohesion in the chip. This unstable morphology confirms the previously discussed reduction in cutting forces under this condition and highlights the dominance of thermal effects during chip formation at high v_c and low f. The tendency of the chips to adhere or collapse also contributes to the surface irregularities observed on the machined part when compressed air is not applied.

At higher v_c and f, the chip becomes more regular again, despite being thicker and slightly rougher. The increased chip volume facilitates faster evacuation from the cutting zone, which helps reduce localized thermal accumulation and prevents the fusion effects seen in the previous condition. The surface of the chip appears matte and granular, indicating a balance between thermal softening and mechanical shear, resulting in a stable chip formation process.

Compared with chip morphologies typically observed in the machining of metallic materials, the chips generated from PLA-CF exhibit markedly different characteristics due to the thermoplastic nature of the polymer matrix. In metals, chip formation often results in segmented, curled, or spiral shapes, particularly under high v_c and f, due to a periodic shear localization and the ductile fracture mechanisms that govern metallic plastic deformation [56]. In contrast, the PLA-CF chips are predominantly continuous, even at high feed rates, and did not show clear segmentation or spiral formation, and their morphology is strongly influenced by thermal effects. These differences emphasize the need for a specialized interpretation of chip morphology in polymer.

4. Geometrical Analysis

Evaluating the geometric quality of the machined components is a key step in assessing the overall effectiveness of turning processes such as post-processing operations. This geometric analysis established whether the parts comply with the functionality requirements necessary for integration into larger assemblies.

This section focuses on how the accuracy of the dimensional and geometrical deviations of the parts is influenced by turning, taking into account the variability introduced by the additive manufacturing process. Three levels of analysis are considered: dimensional deviation, referring to deviations from nominal dimensions; macrogeometrical deviation, which includes form errors such as roundness or cylindricity; and microgeometrical deviation, focused on surface roughness. Together, they provide a comprehensive view of the geometric performance of the post-processed parts.

4.1. Dimensional Analysis

Figure 7 shows the diameter deviations with respect to the nominal value for each of the machined specimens. These results have been obtained from the average error measured across 16 equidistant points along the length of the part. The figure compiles results from different combinations of cutting parameters and nominal diameters, enabling a comparative analysis of the influence of cutting conditions and specimen slenderness on dimensional accuracy. It is important to note that the horizontal axis (Z) in the figure represents the longitudinal position along the specimen, where Z = 0 mm corresponds to the section clamped in the chuck, and Z = 150 mm corresponds to the section supported by the tailstock. This reference allows for the spatial interpretation of how the deviations evolve along the machining axis, particularly in terms of deflection or bending effects.

In general, regardless of the f and D values, higher v_c leads to lower deviations. This behavior is attributed to the improved stability of the process at higher v_c, which reduces both the magnitude and variability of the cutting forces. Conversely, at low v_c, the interaction between the tool and the material induces greater deflection of the specimen, particularly in its central region, leading to higher deviations.

Regarding the f influence, it is observed that, increasing its value, the machining tends to result in slightly higher diameter errors and greater variation along the length of the part. This effect is more pronounced in the slenderest specimens, where the higher mechanical demand imposed by the increased uncut chip thickness leads to a more significant deflection under load. The combined effect of low v_c and high f produces the least favorable dimensional outcomes.

As for the influence of D, the results confirm that dimensional deviations are inversely proportional to the final diameter. The smallest specimens (Figure 7c) consistently exhibit the highest deviations, with average values close to 0.20 mm and maximum errors above 0.30 mm in some cases. These deviations are notably higher in the middle section of the specimen, suggesting a flexural deformation mode due to reduced stiffness. In contrast, the 18 mm (Figure 7a) specimens show the lowest deviations, typically below 0.12 mm, and a much more uniform error distribution along their length.

These results highlight the combined influence of cutting forces and structural rigidity on dimensional accuracy, particularly when machining slender parts produced by material extrusion-based additive manufacturing processes.

In order to justify the influence of slenderness on the dimensional deviations, a normalized deflection model was developed to evaluate the bending deformation experienced by the specimen during machining. The analysis is related with the mechanical analogy of a cantilever-supported beam, which represents the boundary conditions of the part during turning, fixed at the chuck (Z = 0 mm) and simply supported at the tailstock (Z = 150 mm). The tool is considered to apply a concentrated force at a specific axial position, simulating the real interaction that occurs during the cutting process.

For each machining pass, the deflection was calculated at the position where the tool is engaged with the material, considering the applied cutting force and the geometric and mechanical properties of the specimen (Figure 8). The resulting deflection values were then normalized with respect to the diameter of the part, enabling a comparative assessment across different diameters. This approach provides a quantitative framework to correlate structural flexibility with the deviations measured along the part and to support the idea that higher slenderness leads to greater deflection and consequently lower dimensional accuracy.

The normalized deflection values calculated for each specimen allow for a deeper understanding of the role of slenderness and tool position in the deviations observed during machining. The results show that the maximum bending deflection occurs near the center of the specimen, with progressively lower values towards the extremes. This distribution is characteristic of a fixed-supported beam subjected to transverse loading, and it aligns with the actual boundary conditions of the part during the turning process.

When comparing specimens with different nominal diameters, the data reveal that smaller diameters lead to significantly larger normalized deflections, confirming the structural weakening associated with increased slenderness. In particular, the deflection for D = 14 mm is markedly higher than that for D = 16 mm or D = 18 mm under similar force conditions.

These calculated deflections correlate directly with the experimental diameter deviations discussed earlier. In both cases, the largest errors are observed in the central region of the specimen, while the areas near the chuck and tailstock exhibit lower deviations. The spatial distribution of the predicted deformation matches the measured pattern of dimensional error, confirming that flexural deflection is the main contributor to the loss of dimensional accuracy. Moreover, the quantitative relationship between higher deflection and higher deviation from the nominal diameter strongly supports the conclusion that specimen geometry, particularly diameter, is a critical factor in the machinability and achievable tolerances of the samples.

4.2. Macrogeometrical Deviations

Figure 9 shows the values of roundness (RON), straightness (STR), and cylindricity (CYL) deviations obtained for each of the machined specimens as a function of the cutting parameters and final diameter. To compare the impacts of machining, the figure also includes reference values obtained from two specimens manufactured directly by FFF without any post-processing. The first reference specimen was printed with a layer thickness of 0.05 mm, representing a high-quality FFF configuration. The second reference specimen was produced with a layer thickness of 0.30 mm, which significantly reduces printing time but results in lower surface and geometric quality. These two cases provide a useful benchmark to evaluate the improvement achieved through subtractive post-processing and the sensitivity of the form deviations to both machining parameters and initial part quality.

The RON (Figure 9a) analysis reveals significant differences depending on both the machining parameters and the diameter of the machined specimens. In general, RON errors tend to decrease with increasing v_c. Specimens machined at v_c = 200 m/min consistently show lower RON values compared with those machined at v_c = 50 m/min, indicating a more stable cutting process and better surface generation at higher speeds.

The f effect is also noticeable. Higher f values are associated with slightly higher RON values, likely due to the increased cutting forces and reduced tool engagement time per revolution, which can amplify tool vibration or surface disruption. This effect is more pronounced in the slenderest specimens, especially those with D = 14 mm, where the structural flexibility makes RON more sensitive to dynamic effects during machining.

Comparing across different diameters, the RON deviation increases as the diameter decreases. The D = 18 mm specimens generally exhibit the lowest RON values, while D = 14 mm specimens present the highest, confirming once again the influence of slenderness and rigidity on the achievable geometric quality. This is consistent with the deformation and dimensional deviation analyses discussed earlier.

Finally, when these values are compared with those of the reference FFF specimens, it becomes evident that the machining process has improved them. While the high-quality printed specimen exhibits relatively good RON values, it is still surpassed by the values obtained through turning operation. In contrast, the low-quality FFF shows considerably worse RON, further validating the need for post-processing in applications requiring precise macrogeometric control.

The analysis of STR deviation (Figure 9b) further reinforces the influence of machining parameters and specimen geometry on the macrogeometric quality of turned PLA-CF parts. As with the trend observed in RON, STR values also tend to improve with increasing v_c. In most cases, the STR deviation is significantly lower at v_c = 200 m/min, reflecting a more stable interaction between the tool and the workpiece in the axial direction of the part.

With respect to f, higher values generally result in larger STR deviations, especially in specimens with smaller diameters. This is attributed to the increased cutting forces and mechanical vibrations induced by the higher material removal rate, which can lead to microscopic deviations from the ideal cylindrical axis, particularly when the stiffness of the part is insufficient to resist flexural excitation.

In terms of diameter, there is a clear relationship between specimen rigidity and straightness deviation. Larger diameters show lower STR values, indicating greater resistance to axial bending and deflection during turning. Conversely, specimens with D = 14 mm exhibit the highest STR deviations, with results that suggest significant axial curvature introduced during the machining process.

When compared with the FFF reference parts, the improvements brought by subtractive post-processing are also evident for STR. Although the high-quality printed specimen achieves acceptable straightness, the machined specimens generally outperform it in terms of geometric accuracy. The low-quality FFF specimen shows considerably poorer STR, demonstrating the limitations of additive-only fabrication for precision applications.

The analysis of CYL (Figure 9c), which integrates both RON and STR deviations, provides a comprehensive view of the geometric fidelity achieved through turning. Among the three macrogeometric parameters evaluated, CYL is the most sensitive to variations in cutting conditions and specimen rigidity because it reflects deviations in both radial and axial directions simultaneously.

The results show a clear reduction in CYL deviation with increasing v_c. Specimens machined at v_c = 200 m/min generally achieve better cylindricity compared with those machined at v_c = 50 m/min due to the more continuous and stable material removal at higher speeds. This effect is particularly significant in parts with higher slenderness, where tool deflection and dynamic instability are more likely to induce form errors.

Regarding the f values, increasing f from 0.05 mm/rev to 0.2 mm/rev results in an increase in CYL deviation across most diameters. This is explained by the higher mechanical loading and surface disruption associated with greater uncut chip thickness, which amplifies both RON and STR deviations and therefore degrades overall cylindricity.

As with the other parameters, the specimen diameter plays a decisive role. Smaller diameters (D = 14 mm) exhibit the highest CYL deviations, confirming the limited structural stiffness of these parts to resist the compound effects of cutting forces. Larger specimens (D = 18 mm) consistently show lower CYL deviations, benefiting from greater geometric stability and reduced deflection during machining.

In comparison with the FFF reference parts, machining substantially improves cylindricity. Even the high-quality printed specimen shows a noticeable CYL deviation when compared with the turned surfaces. The low-resolution FFF specimen exhibits the poorest CYL values, illustrating the limitations of additive processes in maintaining form integrity over longer geometries and reaffirming the benefits of combining AM with precision finishing operations.

4.3. Microgeometrical Deviations

Figure 10 presents the results obtained for the areal surface roughness parameters Sa and Sz, measured on the machined specimens under different combinations of v_c, f, and D. These parameters provide a three-dimensional characterization of the surface texture, where Sa represents the arithmetic mean height of the surface and Sz denotes the maximum height difference between the highest peak and the lowest valley within the measured area.

The analysis of the machined specimens shows a clear influence of both cutting parameters. A v_c increase from 50 to 200 m/min generally results in higher Sa values, particularly at low f values. This is attributed to the thermal effects, which soften the surface and cause localized marking or material creep, potentially increasing surface roughness. These effects are more evident under conditions of prolonged interaction between tool and workpiece, such as low f.

The f variation exhibits the most significant influence on both Sa and Sz. As feed increases from 0.05 mm/rev to 0.2 mm/rev, there is a noticeable rise in the roughness values. This is explained by the larger uncut chip thickness, which results in more prominent tool marks and surface undulations. Higher f reduces the overlap between successive tool passes, producing a coarser surface profile. This trend is consistent across different diameters and v_c.

In contrast, the specimen diameter appears to have a secondary influence. Although larger diameters tend to show slightly lower Sa values under identical cutting conditions, this effect is related to higher structural stiffness, which minimizes vibrations and helps to maintain a more stable cutting path.

For comparison, Sa and Sz have also been evaluated on reference specimens manufactured solely by FFF (Figure 11). The high-resolution specimen, printed with a layer thickness of 0.05 mm, exhibited a relatively smooth surface, with Sa values in the range of those obtained through low f values. However, the roughness values were still higher than the best machined results, particularly in terms of Sz, where peak-to-valley differences were accentuated by the layered fabrication.

The low-resolution FFF specimen, printed with a 0.30 mm layer thickness, shows significantly worse surface quality, with both Sa and Sz values exceeding those observed in any of the machined cases. The pronounced ridges and valleys inherent to the additive process at coarse layer heights highlight the limitations of FFF in achieving fine surface finishes without post-processing.

Overall, these results demonstrate that machining significantly improves surface quality compared with additive manufacturing alone. This is particularly evident in the reduction in extreme topographical features (Sz). Furthermore, the strong dependence of surface roughness on feed rate aligns with trends well documented in the machining of metallic materials, where roughness is primarily governed by the feed per revolution [57]. In addition, the absolute roughness values recorded in PLA-CF are generally higher than those typically observed in metals such as aluminum or titanium alloys [58,59]. This suggests that, despite the differences in material behavior, feed remains the dominant parameter in controlling surface finish for both polymers and metals.

5. Conclusions

This research has aimed to evaluate the viability of turning as a post-processing strategy to improve the surface quality and dimensional performance of PLA-CF parts fabricated by FFF. Based on the results obtained, the main conclusions are as follows:

• An increase in cutting speed led to a reduction in cutting forces, improved process stability, and lower specific energy consumption. However, it also provoked a rise in cutting temperature, exceeding the glass transition of the material, which required the application of compressed air to control thermal effects. Feed had a direct impact on cutting forces, increasing all components when raised. These tendencies are consistent with those observed in metallic materials, indicating that the turning of PLA-CF can be analyzed and optimized using principles derived from metal cutting theory.
• A mechanical limitation was identified in relation to the turning of small-diameter specimens. The combination of high cutting forces and reduced cross-sectional area led to stress concentrations that exceeded the interlayer strength of PLA-CF, causing failure between printed layers in specimens with a nominal diameter of 12 mm. From this, a maximum shear stress of 0.237 MPa was established as a practical limit for avoiding interlayer failure during machining. This highlights the critical role of interlaminar strength in defining suitable cutting conditions.
• Dimensional accuracy was significantly influenced by cutting parameters. Lower feed values tended to produce diameters closer to the nominal value by reducing material deformation. However, a progressive deviation along the machined length was observed even under stable conditions. This was attributed to deflection of the part during turning, which reduced the effective depth of cut and resulted in larger measured diameters. This effect was more pronounced in slender geometries, where reduced stiffness and unsupported length limit achievable dimensional precision.
• Geometric form deviations such as roundness, straightness, and cylindricity were substantially higher in slender specimens, especially when combined with low cutting speeds or high feed values. As specimen diameter increased, both dimensional precision and geometric stability improved.
• Surface roughness was primarily governed by the feed rate. Lower feed values consistently yielded smoother surfaces, in agreement with trends observed in metals. However, despite this similarity, the roughness values obtained for PLA-CF were generally higher than those typically reported for metallic materials under similar conditions. This was attributed to the viscoelastic and thermosensitive nature of PLA-CF, which favors smearing and surface damage during cutting. These results indicate that while conventional strategies for surface improvement can be applied, the intrinsic properties of polymer-based composites impose practical limitations.
• From a productivity perspective, the addition of turning as a post-processing step represents a time-efficient strategy. While printing a high-resolution specimen (0.05 mm layer height) required approximately 24 h and 35 min, and a low-resolution one (0.30 mm) required 4 h and 9 min; the machining time was only about 4.52 min per part. This minimal addition in processing time makes turning a promising complementary technique for enhancing surface and dimensional quality in FFF-manufactured PLA-CF parts.

Future work could focus on optimizing tool geometry and cutting strategies specifically designed for polymer-based composites. The aim would be to reduce thermal effects and improve chip control. Additionally, the integration of alternative post-processing techniques, such as hybrid machining or localized surface treatments, could be evaluated as complementary or substitute approaches to conventional turning. Studying the effect of different reinforcement types, printing orientations, and infill structures on the machinability and final surface integrity would also provide valuable insights for tailoring manufacturing strategies to specific application needs.