Optimization of process parameter in 3D printing to minimize wear loss and increase tensile strength.

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This is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.

Year : 2026 | Volume : 14 | 01 | Page :
    By

    Mayank Kumar Tiwari,

  • Vivek Singh,

  • Sachin Srivastava,

  • Dharmendra Kumar Dubey,

  • Mahendra Pratap Yadav,

  • Suraj Kumar,

  1. Research scholar, Department of Mechanical Engineering , United University Prayagraj, Uttar Pradesh, India
  2. Assistant Professor, Department of Mechanical Engineering, Galgotias College of Engineering and Technology , Greater Noida, Uttar Pradesh, India
  3. Assistant Professor, Department of Mechanical Engineering LDC Institute of Technical Studies, Prayagraj, Uttar Pradesh, India
  4. Professor, Department of Mechanical Engineering Shree Dhanvantary College of Engineering and Technology, Surat, Gujarat, India
  5. Assistant Professor, Department of Mechanical Engineering Shree Dhanvantary College of Engineering and Technology, Surat, Gujarat, India
  6. Assistant Professor, Department of Mechanical Engineering Shree Dhanvantary College of Engineering and Technology, Surat, Gujarat, India

Abstract

Additive Manufacturing (AM) and especially Fused Deposition Modeling (FDM) has emerged as a very versatile process of manufacturing polymer components with complex and highly-integrated geometries. Polylactic Acid (PLA) is a favorite of the many thermoplastic FDM materials because of its biodegradability, easy processing and predictable mechanical properties. The study aimed at maximizing critical parameters in FDM process in order to reduce wear loss and also increase tensile strength of PLA components. To achieve accuracy and comparability of results, test samples were fabricated in conformity with ASTM D638 requirements of tensile testing, and ASTM G99 wear characterization requirements. The experimental matrix was designed using a Taguchi L9 orthogonal array, which included the controlled variations in the infill density, bed temperature and nozzle temperature. Performance of the wear in the pin-on-disc tribometer was measured at constant rotational velocity of 300 rpm and with loads of 5 kg and 10 kg applied over a 60-minute period. Tensile strength test was conducted in a Universal Testing Machine at standard loading conditions. The experimental results reveal that build orientation alongside the optimized thermal and infill settings are issues that are important to the ultimate wear resistance and mechanical strength of the printed samples of PLA. The study will wrap up by suggesting an ideal combination of FDM parameters which will increase the overall functionality performance and reliability of PLA components in real engineering applications.

Keywords: Additive Manufacturing (AM), Fused Deposition Modeling (FDM), Pin-on-Disc (PoD), stereolithography (SLA), Digital Light Processing (DLP)

How to cite this article:
Mayank Kumar Tiwari, Vivek Singh, Sachin Srivastava, Dharmendra Kumar Dubey, Mahendra Pratap Yadav, Suraj Kumar. Optimization of process parameter in 3D printing to minimize wear loss and increase tensile strength.. Journal of Polymer & Composites. 2026; 14(01):-.
How to cite this URL:
Mayank Kumar Tiwari, Vivek Singh, Sachin Srivastava, Dharmendra Kumar Dubey, Mahendra Pratap Yadav, Suraj Kumar. Optimization of process parameter in 3D printing to minimize wear loss and increase tensile strength.. Journal of Polymer & Composites. 2026; 14(01):-. Available from: https://journals.stmjournals.com/jopc/article=2026/view=238973


References

  1. Mohan N, Senthil P, Vinodh S, Jayanth N. A review on composite materials and process parameters optimization for the fused deposition modelling process. Virtual Phys Prototyp. 2017;12(1):47–59.
  2. Chacón JM, Caminero MA, García-Plaza E, Núñez PJ. Additive manufacturing of PLA structures using fused deposition modelling: Effect of process parameters on mechanical properties and their optimal selection. Mater Des. 2017;124:143–57.
  3. Rajpurohit SR, Dave HK. Investigating tribological behaviour of FDM processed parts with different infill density and orientation. Procedia Manuf. 2018;20:455–60.
  4. Singh R, Singh S, Ahuja IPS. Optimization of wear performance in fused deposition modelling using Taguchi method. Mater Today Proc. 2020;26:1169–74.
  5. Boschetto A, Bottini L. Accuracy prediction in fused deposition modelling. Int J Adv Manuf Technol. 2015;73(5):913–28.
  6. Sood AK, Ohdar RK, Mahapatra SS. Parametric appraisal of mechanical property of fused deposition modelling processed parts. Mater Des. 2010;31(1):287–95.
  7. Doddamani M, Bharath HS, Prabhakar P, Gururaja S. 3D printing of composites. Springer; 2023.
  8. Anderson R, Patel K, Li S. Enhancing wear resistance in PLA-based 3D-printed components using composite reinforcements. Mater Sci Eng. 2020.
  9. Chua CK, Leong KF, Lim CS. Rapid Prototyping: Principles and Applications. World Scientific; 2020.
  10. Ding S, Wang Z, Li X. Influence of extrusion temperature on 3D-printed polymer wear resistance. J Manuf Sci. 2022.
  11. Gibson I, Rosen DW, Stucker B. Additive Manufacturing Technologies. Springer; 2015.
  12. Goh GD, Sing SL, Yeong WY. A review on 3D printing of polymers for wear resistance applications. Mater Today. 2020.
  13. Guo N, Leu MC. Additive manufacturing: technology, applications, and research needs. Front Mech Eng. 2019.
  14. Jiang Q, Zhang H, Xu L. Selective laser sintering optimization for enhanced wear resistance. Int J Adv Manuf Technol. 2020.
  15. Lu Y, Wang X, Zhao J. Machine learning-based parameter optimization for wear-resistant 3D-printed components. Mater Des. 2021.
  16. Martínez R, Torres L, Pérez J. Impact of acetone post-processing on the wear properties of ABS 3D-printed components. J Polym Eng. 2019.
  17. Singh R, Kumar P, Boparai KS. Enhancing wear resistance in FDM 3D printing through process parameter optimization. J Mech Eng Sci. 2023.
  18. Sun Q, Zhang Y, Zhang D. Surface treatment methods for improving wear resistance in 3D-printed parts. Wear. 2018.
  19. Wang F, Li Y, Chen J. Impact of print speed on interlayer adhesion and wear properties of 3D-printed parts. Polym Test. 2019.
  20. Yang X, Zhou L, Liu P. Infill pattern influence on wear resistance in 3D printing. Mater Manuf Process. 2021.
  21. Yap CY, Chua CK, Tan HK. Taguchi method for optimization of wear-resistant 3D-printed components. J Mater Process Technol. 2017.
Ahead of Print Subscription Original Research
Volume 14
01
Received 03/12/2025
Accepted 02/01/2026
Published 20/03/2026
Publication Time 107 Days
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