1. Introduction
Three-dimensional printing (3D printing) is developing rapidly and is increasingly used beyond the initial purpose of creating prototypes. Its ability to work with various materials allows for customizable and (relatively) fast production. Accessible to the public, basic fused deposition modelling (FDM) printers can be easily purchased, making 3D printing more affordable compared with other additive manufacturing techniques. FDM is one of the most common forms of additive manufacturing technology used today, operating by constructing objects by depositing molten thermoplastic material layers in defined print paths [
1]. The key benefits of additive manufacturing, including FDM, over traditional manufacturing include its cost efficiency, ability to produce custom designs, and reduced supply chain complexity. While FDM has limitations in mass production due to time consumption and sometimes precision issues, its strengths in rapid prototyping and on-demand manufacturing are significant advantages [
1,
2].
FDM involves creating a digital design using 3D software, which is then sliced into layers and printed layer by layer with materials in the form of filaments [
1,
2,
3]. The mechanical properties of the objects created using FDM depend on various factors, including the chosen materials, structural parameters, and manufacturing variables such as printing speed and temperature [
3,
4]. FDM offers advantages in controlling the architecture of the matrix that forms the printed object and allowing for a variety of designs and compositions. Today, FDM is utilized in numerous fields, such as aerospace technology, the automotive industry, education, biotechnology, and healthcare. Moreover, it supports on-demand speciality manufacturing, reducing waste and facilitating the creation of personalized products [
4,
5,
6].
The common thermoplastic filaments used in FDM printing are polylactic acid (PLA), acrylonitrile butadiene styrene (ABS), polyethylene terephthalate glycol (PETG), and flexible thermoplastic elastomers/rubbers (TPEs) for specialized applications. Additionally, further composites, such as wood or carbon fibre blends, expand the applications of FDM technology [
1,
7,
8,
9,
10,
11].
In contemporary applications of FDM as a 3D printing technology, PLA is one of the most commonly used materials across various industries due to its distinctive properties. PLA is a thermoplastic and biodegradable polymer and can be produced from renewable resources. From an environmental perspective, PLA and its blends have advantages over some conventional materials, but they also have some disadvantages. PLA is not easily converted into nanoplastic in seawater and can therefore be used as a material for 3D printing for the marine industry, specifically by using PLA marine plastic waste [
12,
13]. This application is aligned with the circular economy. Due to their biodegradability, PLA composites are presented as a renewable and sustainable solution for various industrial and other applications [
14]. However, the slow degradation of PLA needs to be taken into account when assessing the applicability and ecological aspects of using PLA in technical applications [
15], and if possible, the degradation rate of PLA-based materials should be adjusted to their specific utilization needs [
16]. When observing end-of-life solutions for PLA, research has been in favour of composting, which displays a reduced impact on freshwater eutrophication [
13]. Finally, the recycling of PLA and its blends is an area that still needs to be investigated. Often, the main obstacle to the usage of recycled PLA is the mechanical behaviour of the printed recycled components [
17]. Therefore, the need for further research into the three pillars of sustainability regarding the application of PLA-based materials must be emphasized.
Regardless of some downsides from the environmental or sustainability aspects, the usage of PLA has been increasing annually, while more and more emerging research continues to explore the benefits of FDM 3D-printed objects produced using PLA and PLA-based composites [
18,
19]. PLA is preferred in commercial products not only for its renewability and degradability but also for its excellent cost–performance ratio [
20]. Although PLA has a lower level of impact toughness and a narrower processing window when compared with some other thermoplastic materials, it offers high strength, a high elastic modulus, excellent stiffness, and a low coefficient of thermal expansion [
21]. When comparing PLA with some other common polymeric materials used in 3D printing, for example, PETG and ABS, PLA has some advantages and disadvantages, which also depend on the intended application. Among the three mentioned materials, PLA has the lowest melting point (~160 °C, while ABS and PETG have higher melting points of ~200 °C and 260 °C, respectively). Furthermore, these materials differ in their mechanical properties: PLA has a tensile strength of around 48 MPa, ABS around 30 MPa, and PETG around 46 MPa. Their bending stress amounts to cca. 57 MPa for PLA, 46 MPa for ABS, and 55 MPa for PETG [
22]. Because of their different intrinsic properties, the behaviour of these materials in 3D printing differs as well. For example, it was shown that when increasing the 3D printing speed, PLA displayed no decrease in mechanical properties, while PETG did. On the other hand, PLA was more prone to thermal deformation than PETG [
23]. When further comparing these three materials, it was also found that the 3D-printed PLA parts created using an infill pattern with a rotation angle of 45° had the maximum tensile strength. ABS specimens created by using an infill pattern with a rotation angle of 45° were shown to have the best energy absorption, and PLA specimens made with an infill pattern with a rotation angle 45° had the best performance compressive strength. When bending strength was evaluated, it was found that samples of ABS made with an infill pattern with a rotation angle of 0–90° had the highest value [
22].
Regarding the life cycle assessment, PETG was found to be the most environmentally friendly among these three materials across the mid-point and end-point of the life cycle, and ABS was found to be the least environmentally acceptable [
24]. It can be concluded that PLA, or any other material biodegradable or not, should be utilized consciously when choosing materials for 3D printing, with all advantages and disadvantages regarding technical application being considered.
Some examples of the structural applications of 3D-printed PLA and its blends include tidal turbine blades, thin walls, bone tissue replacements, and drone frame structures, and they can be used in the car industry, specifically in crash applications [
25,
26,
27,
28,
29]. PLA can be also utilized in medical applications (for example, as an implant), because of its biocompatibility [
3]. Additionally, PLA has weak adhesion to printing surfaces, which is beneficial during the FDM process. Further modifications of PLA-based materials, as well as their optimization and characterization, are being performed to enhance the performance of PLA in FDM [
21,
30,
31].
In the FDM production process, several printing parameters must be taken into account. These include the orientation of each built layer, nozzle diameter, printing speed, layer thickness, and extrusion temperature. Both the properties of the materials used and the printing parameters significantly influence the characteristics and behaviour of the produced specimen [
32]. In addition, interlayer adhesion, i.e., the bond between material layers during the deposition process, also has an influence on the mechanical and structural properties of printed objects. Weak interlayer adhesion can lead to structural weaknesses and cause fractures along layer lines, while good adhesion improves the durability and mechanical properties of printed objects. The rotation angles of printed patterns also affect interlayer adhesion as they are influenced by the printing direction, i.e., X, Y, or Z axis, and depend on the intended application, part geometry, required mechanical properties, and required material efficiency.
Recent studies in the field have focused on analyzing the relationship between printing parameters and the properties of 3D-printed parts. Wickramasinghe et al. examined how factors such as layer thickness, infill pattern, raster angle, and fibre orientation affect the performance of 3D-printed polymer composites, particularly in relation to common defects found in printed parts [
33]. Additionally, the influence of infill density (infill percentage) was investigated as a crucial parameter in the FDM process, considering its impact on the mechanical properties of the produced specimens [
7,
32,
34,
35,
36]. Besides infill density, other parameters defined before and during the slicing process significantly contribute to the properties and applicability of the produced specimens [
37]. The infill pattern, printing speed, build orientation, and raster angle set during 3D modelling and slicing have been extensively investigated [
32,
37,
38,
39,
40,
41,
42]. The statistical modelling and optimization of 3D-printed specimens produced by FDM were conducted by Moradi et al. and Lokesh et al. using response surface methodology and the Taguchi approach, respectively [
43,
44]. It can be concluded that all mentioned slicing and printing parameters are significant for the mechanical and other properties of the produced model, and many of them are well researched and documented.
The objective of this research was to investigate how the order of rotational symmetry of the shapes that form infill patterns affects the mechanical properties of the specimen printed using PLA. Furthermore, the influence of the specific rotation angles within the utilized infill patterns on the mechanical properties of the printed specimens was analyzed.
Some aspects of symmetry have been investigated in relation to the properties of printed objects in FDM. Cabreira et al. concluded that some infill patterns that present higher symmetry, effectively combining direct and transversal orientations, allow for more energy absorption during an impact [
45]. Hedjazi et al. related the material symmetry generated by filament layups to the mechanical performance/deformation mechanism [
46]. The behaviours in the symmetric and asymmetric bending of some commonly used infill patterns in FDM (honeycomb, grid, and triangles) were analyzed by Cojocaru et al. [
47]. The influence of spatial symmetry on build time in FDM was investigated by Srivastava et al. [
48]. The mentioned articles explored different lattice structures and angles, along with certain aspects of symmetry in FDM. However, none of them specifically investigated how the order of rotational symmetry in the infill pattern affects the mechanical properties of the produced object. Furthermore, statistical methods can greatly enhance the accuracy of interpreting the obtained results and are commonly applied when analyzing the mechanical properties of specimens produced using FDM [
49,
50,
51].
In this research, the Kruskal–Wallis test and Dunn’s test with Benjamini–Hochberg p-value adjustment were utilized to analyze the differences between the assigned groups of printed specimens. To our knowledge, no existing research has put the mechanical properties of 3D-printed specimens into the context of the rotational symmetry order in infill patterns. Specifically, the resistance of these patterns to rotations by angles less than 30° has not been extensively investigated. Given the numerous parameters being studied in FDM, this research aims to offer a new viewpoint and new insights into optimizing the mechanical properties of printed structures by emphasizing how variations in the rotational symmetry order and specific rotations in infill patterns with different orders of rotational symmetry can impact the mechanical properties of printed specimens.
2. Materials and Methods
This research aimed to compare how geometric shapes with different orders of rotational symmetry, arranged under different angles, perform in mechanical property tests. It is known that a decisive factor for optimizing the strength of printed parts lies in adjusting the geometry shape and rotation angle of the infill pattern in relation to the direction of the expected stress. By aligning the geometry and infill along the primary load direction, the mechanical properties of a part can be significantly improved and the risk of failure in tension or compression reduced. For general applications, for example, an infill angle of 45° or 90° is preferable, but for specific stress conditions, customizing the geometry and infill orientation can improve load distribution and durability [
52]. For this reason, the mechanical properties of different geometric shapes and angles of the infill pattern were studied, as to our knowledge, there are no studies investigating the mechanical properties of 3D-printed structures in the context of the chosen rotational symmetry order and infill pattern.
Three geometric shapes which can be arranged in regular patterns were used: an equilateral triangle, a square, and a regular hexagon. Their rotational symmetrical properties are displayed in
Table 1. The choice of the angle of rotation is explained as follows. The angles of rotational symmetry were considered when choosing infill pattern angles to be used in this experiment. The shape with the smallest angle of rotational symmetry limits the range of angles, which results in unique pattern angles for all shapes. While rotating an equilateral triangle and square above the 60° angle results in pattern angles which differ from those below 60°, for a regular hexagon, a 60–120° range results in the same pattern angles as those for the 0–60° range. Another important consideration is mirror image symmetry. While a regular hexagon’s angle of rotational symmetry is 60°, rotations in the range 30–60° are mirror images of rotations in the 30–0° range. For a regular hexagon, viewing the pattern rotated at 30 + α degrees from the back produces the same image as that produced when viewing the same pattern rotated at 30 − α degrees from the front. Therefore, for regular hexagons, only the angles in the 0–30° range are expected to yield different results in the tensile strength test. Although limiting for the other two geometric shapes, this range of angles provides unique pattern angles for all three shapes. Therefore, the angles 0°, 15°, and 30° were chosen in this experiment.
A total of nine (9) models were designed in FreeCAD v1.0 software. The designs included three geometric shapes, each employing three pattern angles.
Figure 1 displays the structures used in CAD software to obtain patterns by horizontal and vertical repetition.
Figure 1a displays a pattern comprising triangles.
Figure 1b displays the tile, from the repeating triangular pattern, used to set the infill percentage. The dashed line denotes the edges of a tile. Having chosen the wall width and triangle side length, calculating the lengths of tile sides is simple. The quotient of the area of four triangles and tile area is the infill ratio. Reaching the desired infill ratio requires adjusting the triangle side length.
Similarly,
Figure 1c displays a structure comprising regular hexagons.
Figure 1d displays the tile, from the repeating hexagonal pattern, used to set the infill percentage. With the chosen wall width and hexagon side length, simple calculations yield the area under hexagons and tile area. Their quotient is the infill ratio, and reaching the desired value of the infill ratio requires adjusting the hexagon side length. The pattern of squares is trivial and therefore not displayed in this paper. The tile for the square is obtained by centring the square with sides of length
l, inside the area with sides of length
l +
w where
w is the wall width.
2.1. Materials
The mechanical and thermal properties of PLA filaments used in this research according to the manufacturer (3DJAKE ecoPLA) are presented in
Table 2.
2.2. Methods of Measurement and Analysis
This experiment has two factors: the infill’s geometric shape and angle. Each factor has three levels since three shapes are compared: an equilateral triangle (T), a square (S), and a regular hexagon (H), each placed at three angles (0°, 15°, and 30°). This resulted in nine groups in which the mechanical properties were examined by means of a dynamic mechanical analysis (DMA), a tensile test, and corresponding statistical tests. In the continuation of this research, PLA printed specimens are labelled as follows: T-0°, T-15°, T-30°, S-0°, S-15°, S-30°, H-0°, H-15°, and H-30°.
For DMA and tensile tests, models with a flat shape and models with a standard dog bone shape were created.
Figure 2 contains illustrations of the infill patterns prepared for both tests.
The gauge part of the models was designed using 30% infill patterns, and the neck was solid. The wall thickness was set to 1.2 mm, which equals 3 lines for a 0.4 mm nozzle. The printing temperature was set to 205 °C. Printing speeds were set to 60 mm/s for the infill, inner wall, and top surface inner wall and 30 mm/s for the two initial layers, outer wall, top surface outer wall, and the top and bottom layers. Cooling (fan speed) was set to 100% for all layers. Layer height was set to 0.2 mm. Note that the infill patterns were integrated into the model using CAD software, not slicing software. Models were sliced using Cura v5.8.0 slicing software with a 100% infill setting. Specimens were printed using an Anycubic Vyper 3D printer with stock parts and a standard 0.4 mm brass nozzle. For each geometric shape and pattern angle, a sample of five specimens was printed.
DMA was performed using the DMA Q800 (TA Instruments, New Castle, DE, USA). The samples had a size of 60 × 15 mm2 and a thickness of 5 mm. The heating temperature range was between 0 and 100 °C at a heating rate of 3 °C/min in dual-cantilever deformation mode. The oscillation frequency was 10 Hz with an oscillation amplitude of 10 µm. The storage modulus (E′), loss modulus (E″), and tan delta (Tg delta) of each specimen were tested as a function of temperature. Additionally, the glass transition region and the glass transition temperature (Tg) were also determined.
Tensile tests were conducted using an Instron 5567 tensile testing machine (Instron, Norwood, MA, USA) with a maximum load of 10 kN with a testing speed of 10.00 mm/min, according to the ISO 527-2:2012 standard [
53]. The tests were performed at 22 ± 2 °C and a relative humidity (RH) of 38% ± 5%. Tensile properties were analyzed using stress–strain curves, the maximum force (N), tensile strain (displacement) at the maximum force (%), and displacement at the maximum force (mm).
To test whether the infill’s geometric shapes with different orders of rotational symmetry and their angles of rotation affect tensile strength, the means of the maximum force were compared between the nine groups. To compare means between groups, an Analysis of Variance (ANOVA) is the first choice provided the data satisfy its assumptions. An ANOVA assumes that data within groups are distributed normally and variances between groups are equal, and it assumes the independence and random sampling of data within groups. While there exist analytical tests for the normality of data, graphical methods are increasingly used since the results of analytical tests are strongly affected by the sample size. The standard tool used to assess data normality is a quantile–quantile (Q-Q) plot. Small sample sizes limit the ability to test the normality of data within groups. In such cases, the normality of residuals is tested. A Q-Q plot of residuals for the maximum force is displayed in
Figure 3. The plot reveals that the data can be considered normally distributed since the points closely follow a straight line and are contained within the 95% confidence interval marked with two dashed lines. The blue points represent the quantiles of the observed residuals vs. the theoretical quantiles of the normal distribution. The red line’s slope and intercept are calculated from first and third quartiles of both the observed and theoretical distributions. The dashed lines represent the 95% confidence interval around the red line.
To test the homogeneity of variance of the maximum force data between the 9 groups, Levene’s test was used. The test resulted in
p = 0.0001. Since this result is smaller than 0.05, the differences in variance between groups are considered significant. Attempts to correct the inequality of variances using data transforms failed. Therefore, the means in this experiment were compared using the Kruskal–Wallis test. Dunn’s test was used for post hoc pairwise multiple comparisons. The Kruskal–Wallis test answers the question as to whether at least one of three or more groups differs significantly from the others. Dunn’s test provides pairwise comparisons and reveals which pairs of groups differ significantly. In this paper, both tests were conducted at the commonly chosen 5% significance level. The results reported in
Section 3 are the
p-values. For the Kruskal–Wallis test, the reported
p-value is the survival function of the chi square distribution evaluated at the calculated H statistic. The test result is considered significant if the reported
p-value is less than the chosen significance level (5% in this experiment), meaning that there is less than 5% probability that the observed differences between groups are due to chance. The same interpretation applies to the pairwise comparisons performed in Dunn’s test, where
p-values were calculated from the z test statistics.
4. Conclusions
This research presented a new perspective on optimizing and fine-tuning infill patterns and the selection of infill shapes in FDM. The objective of this study was to analyze how the order of rotational symmetry in the infill pattern affected the mechanical properties of 3D-printed specimens. Additionally, the statistical analysis examined how the rotational symmetry order of shapes affected the preservation of mechanical properties when the infill pattern was rotated. Dynamic mechanical analysis (DMA) and tensile tests were performed on PLA printed specimens. The mean values obtained from the tensile measurements were compared using the Kruskal–Wallis test, and Dunn’s test was applied for post hoc pairwise multiple comparisons.
The DMA revealed that among the different infill patterns, specimens with an order of rotational symmetry of 3 exhibited the highest modulus of elasticity. Additionally, specimens with a 15° rotation, regardless of their shape, generally demonstrated the highest storage modulus. Statistical analysis showed that the maximum force of the infill pattern with an order of rotational symmetry of 3 (triangle) was the least affected by the rotation angle. Furthermore, the infill pattern with an order of rotational symmetry of 4 (square) and a 0° rotation showed a significantly higher maximum force compared with other patterns. The infill pattern with an order of rotational symmetry of 6 (hexagon) was moderately influenced by the angle of rotation.
Since the results of this research indicated that shapes with different orders of rotational symmetry exhibit different tolerances to rotation angles, the optimization of the mechanical properties of printed infill patterns could be achieved by adjusting the rotation angle of the infill shape in relation to the direction of the stress that the printed object will encounter. It can be said that the printed test specimen with a geometric shape of an equilateral triangle and an infill pattern of 15° has the highest storage modulus. This means that the 3D modelling of triangular structures with a 15° rotation would be optimal for the production of, e.g., functional rotating elements that are continuously loaded in different directions. In contrast, elements that are mainly loaded in one direction, such as some columns or load-bearing parts, should be optimally produced with an infill pattern of an order of rotational symmetry of 4 (square) and a 0° rotation, which showed the highest values for the maximum force compared with the observed triangular and hexagonal printed specimens. Future research will explore the resistance of infill patterns with different orders of rotational symmetry to rotation for various materials commonly used in 3D printing, such as ABS, PETG, and different composite materials and blends. Additionally, the impact of interfacial properties within printed specimens—specifically, the interlayer adhesion influenced by material properties and the relationship between the printing direction and specimen orientation—will be investigated.