Research on Additive Manufacturing of Polymer Composites

A special issue of Polymers (ISSN 2073-4360). This special issue belongs to the section "Polymer Processing and Engineering".

Deadline for manuscript submissions: 5 January 2025 | Viewed by 2830

Special Issue Editor

National Special Superfine Powder Engineering Technology Research Center, Nanjing University of Science and Technology, Nanjing, China
Interests: advanced composite; mechanical properties; nanoparticles
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Additive manufacturing, also known as 3D printing, has significantly transformed the realm of materials science and engineering. This technique is particularly useful for polymer composites, as it allows for the creation of intricate, high-resolution structures that were previously challenging or impossible to fabricate. Commonly used materials in this field include polymers like ABS, PLA, PET, and nylon, combined with fillers, such as carbon fibers, glass fibers, metals, and ceramics, to enhance their mechanical properties. Techniques such as fused deposition modeling (FDM), selective laser sintering (SLS), and stereolithography (SLA) are employed, depending on the specific materials and applications involved. The additive manufacturing of polymer composites has found its usage in various sectors, including the aerospace, automotive, medical, and electronic industries, as well as consumer products. However, there remain challenges in achieving improved control over filler particle distribution, understanding the impact of printing parameters on final part properties, and developing sophisticated design tools. While substantial strides have been made in this domain, it remains a vibrant area of research teeming with potential for further advancements. Researchers are currently focusing on overcoming existing hurdles and expanding the range of materials and applications for this innovative technology. This Special Issue is dedicated to reporting recent fundamental advances in the development and additive manufacturing of polymer composites.

Dr. Yubing Hu
Guest Editor

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Keywords

  • additive manufacturing
  • polymer composites
  • 3D printing techniques
  • material sciences
  • fused deposition modeling (FDM)
  • mechanical properties

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Published Papers (3 papers)

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Research

21 pages, 11679 KiB  
Article
Adjustment of Mechanical Properties of 3D Printed Continuous Carbon Fiber-Reinforced Thermoset Composites by Print Parameter Adjustments
by Md Atikur Rahman, Luke Gibbon, Md Zahirul Islam, Eric Hall and Chad A. Ulven
Polymers 2024, 16(21), 2996; https://doi.org/10.3390/polym16212996 - 25 Oct 2024
Viewed by 319
Abstract
Reinforcing thermoset polymers with continuous carbon fiber (CF) tow has emerged as a promising avenue to overcome the thermal and mechanical performance limitations of 3D printed polymeric structures for load-bearing applications. Unlike traditional methods, manufacturing continuous fiber-reinforced composites by 3D printing has the [...] Read more.
Reinforcing thermoset polymers with continuous carbon fiber (CF) tow has emerged as a promising avenue to overcome the thermal and mechanical performance limitations of 3D printed polymeric structures for load-bearing applications. Unlike traditional methods, manufacturing continuous fiber-reinforced composites by 3D printing has the unique capability of locally varying the mechanical properties of the composites. In this study, continuous CF thermoset composite specimens were printed with varying line spacing, resin flow rate, and nozzle sizes. The resin flow rates for different line spacings and nozzle sizes were optimized by topographic analysis. Printed composite mechanical properties were evaluated, and their trends were correlated with the trend of print parameter changes. Results showed that tensile strength and modulus could be altered and improved by ~50% by adjusting the printing process parameters. Higher composite strength and modulus were obtained by shortening the line spacing and nozzle diameter. Full article
(This article belongs to the Special Issue Research on Additive Manufacturing of Polymer Composites)
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20 pages, 2725 KiB  
Article
Parametric Optimization of FDM Process for PA12-CF Parts Using Integrated Response Surface Methodology, Grey Relational Analysis, and Grey Wolf Optimization
by Ali Saeed Almuflih, Muhammad Abas, Imran Khan and Sahar Noor
Polymers 2024, 16(11), 1508; https://doi.org/10.3390/polym16111508 - 27 May 2024
Cited by 3 | Viewed by 1177
Abstract
Efficiently managing multiple process parameters is critical for achieving optimal performance in additive manufacturing. This study investigates the relationship between eight key parameters in fused deposition modeling (FDM) and their impact on responses like average surface roughness (Ra), tensile strength (TS), and flexural [...] Read more.
Efficiently managing multiple process parameters is critical for achieving optimal performance in additive manufacturing. This study investigates the relationship between eight key parameters in fused deposition modeling (FDM) and their impact on responses like average surface roughness (Ra), tensile strength (TS), and flexural strength (FS) of carbon fiber-reinforced polyamide 12 (PA 12-CF) material. The study integrates response surface methodology (RSM), grey relational analysis (GRA), and grey wolf optimization (GWO) to achieve this goal. A total of 51 experiments were planned using a definitive screening design (DSD) based on response RSM. The printing process parameters, including layer thickness, infill density, and build orientation, significantly affect Ra, TS, and FS. GRA combines responses into a single measure, grey relational grade (GRG), and a regression model is developed. GWO is then employed to optimize GRG across parameters. Comparison with GRA-optimized parameters demonstrates GWO’s ability to discover refined solutions, reducing average surface roughness to 4.63 μm and increasing tensile strength and flexural strength to 88.5 MPa and 103.12 MPa, respectively. Practical implications highlight the significance of GWO in industrial settings, where optimized parameters lead to reduced costs and improved product quality. This integrated approach offers a systematic methodology for optimizing FDM processes, ensuring robustness and efficiency in additive manufacturing applications. Full article
(This article belongs to the Special Issue Research on Additive Manufacturing of Polymer Composites)
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12 pages, 4901 KiB  
Article
Spreading Behavior of Non-Spherical Particles with Reconstructed Shapes Using Discrete Element Method in Additive Manufacturing
by Tengfang Zhang, Dan Chen, Hui Yang, Wei Zhao, Yunming Wang and Huamin Zhou
Polymers 2024, 16(9), 1179; https://doi.org/10.3390/polym16091179 - 23 Apr 2024
Viewed by 898
Abstract
The spreading behavior of particles has a significant impact on the processing quality of additive manufacturing. Compared with spherical metal material, polymer particles are usually non-spherical in shape. However, the effects of particle shape and underlying mechanisms remain unclear. Here, the spreading process [...] Read more.
The spreading behavior of particles has a significant impact on the processing quality of additive manufacturing. Compared with spherical metal material, polymer particles are usually non-spherical in shape. However, the effects of particle shape and underlying mechanisms remain unclear. Here, the spreading process of particles with reconstructed shapes (non-spherical particles decomposed into several spherical shapes by stereo-lithography models) are simulated by integrating spherical particles with the discrete element method. The results show that more cavities form in the spreading beds of particles with reconstructed shapes than those of spheres with blade spreading. Correspondingly, particles with reconstructed shapes have lower packing densities, leading to more uniform packing patterns. Slow propagation speeds of velocity and angular velocity lead to “right-upwards” turning boundaries for particles with reconstructed shapes and “right-downwards” turning boundaries for spherical particles. Moreover, as the blade velocity increases, the packing density decreases. Our calculation results verify each other and are in good agreement with the experiment, providing more details of the behavior of non-spherical particles before additive manufacturing. The comprehensive comparison between polymer non-spherical particles and spherical particles helps develop a reasonable map for the appropriate choice of operating parameters in real processes. Full article
(This article belongs to the Special Issue Research on Additive Manufacturing of Polymer Composites)
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