Optimization of FDM 3D Printer Process Parameters For PETG Material Using TOPSIS Technique

Open Access

Year : 2025 | Volume : 13 | Special Issue 01 | Page : 601 609
    By

    V.V.D. Sahithi,

  • N. Srilatha,

  1. Assistant Professor, Department of Mechanical Engineering, VNR VJIET, Hyderabad, Telangana, India
  2. Assistant Professor, Department of Mechanical Engineering, VNR VJIET, Hyderabad, Telangana, India

Abstract

3D printing is a quickly evolving process that builds the desired shape by layering on material. In the era of modern production, additive manufacturing has grown in significance due to its user-friendliness. By using this technique, one can produce complex & intricate geometries with much ease when compared to conventional manufacturing. With the increased demand for 3D printing, consideration towards strength quality and other mechanical properties is also increasing progressively. Optimizing process parameters is crucial for enhancing the mechanical characteristics of items made via additive manufacturing.In this scenario, the primary goal of the current work is to optimize the fused deposition modeling (FDM) 3D printer’s process parameters to improve the tensile strength, impact strength, and surface finish of the PETG material manufactured parts. The considered input parameters are raster angles (0o,15oand 30o) layer thickness (0.1mm,0.2mm &0.3mm), and printing temperatures (240oC, 245 oC and 250 oC). Each input parameter is considered at 3 levels. L9 array is considered for experimental design. This multi-objective optimization problem is optimized using the TOPSIS optimization approach in order to determine the ideal process parameters.

Keywords: Sustainable development, green material, fracture surface, shear fracture, TOPSI,optimization.

[This article belongs to Special Issue under section in Journal of Polymer and Composites (jopc)]

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How to cite this article:
V.V.D. Sahithi, N. Srilatha. Optimization of FDM 3D Printer Process Parameters For PETG Material Using TOPSIS Technique. Journal of Polymer and Composites. 2024; 13(01):601-609.
How to cite this URL:
V.V.D. Sahithi, N. Srilatha. Optimization of FDM 3D Printer Process Parameters For PETG Material Using TOPSIS Technique. Journal of Polymer and Composites. 2024; 13(01):601-609. Available from: https://journals.stmjournals.com/jopc/article=2024/view=188370


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References

  1. Ferretti et al., “Relationship between FDM 3D Printing Parameters Study: Parameter Optimization for Lower Defects,” Polymers, vol. 13, no. 13. 2021, doi: 10.3390/polym13132190.
  2. M. Hanon, J. Dobos, and L. Zsidai, “The influence of 3D printing process parameters on the mechanical performance of PLA polymer and its correlation with hardness,” Procedia Manuf., vol. 54, pp. 244–249, 2021, doi: https://doi.org/10.1016/j.promfg.2021.07.038.
  3. Shahrubudin, T. C. Lee, and R. Ramlan, “An Overview on 3D Printing Technology: Technological, Materials, and Applications,” Procedia Manuf., vol. 35, pp. 1286–1296, 2019, doi: https://doi.org/10.1016/j.promfg.2019.06.089.
  4. Cojocaru, D. Frunzaverde, C.-O. Miclosina, and G. Marginean, “The Influence of the Process Parameters on the Mechanical Properties of PLA Specimens Produced by Fused Filament Fabrication—A Review,” Polymers (Basel)., vol. 14, no. 5, 2022, doi: 10.3390/polym14050886.
  5. Gao, F. Xu, J. Xu, G. Tang, and Z. Liu, “A Survey of the Influence of Process Parameters on Mechanical Properties of Fused Deposition Modeling Parts,” Micromachines, vol. 13, no. 4, 2022, doi: 10.3390/mi13040553.
  6. Le et al., “Optimizing 3D Printing Process Parameters for the Tensile Strength of Thermoplastic Polyurethane Plastic,” J. Mater. Eng. Perform., vol. 32, no. 23, pp. 10805–10816, 2023, doi: 10.1007/s11665-023-07892-8.
  7. Popescu, A. Zapciu, C. G. Amza, F. Baciu, and R. Marinescu, “FDM process parameters influence over the mechanical properties of polymer specimens: A review,” Polym. Test., 2018, [Online]. Available: https://api.semanticscholar.org/CorpusID:139910737.
  8. Raju, T. Arun Selvakumar, P. Mohammed Rizwan Ali, P. Satheesh Kumar, and D. Giridhar, “Experimentation and Process Parametric Optimization of 3D Printing of ABS-Based Polymer Parts BT – Advances in Industrial Automation and Smart Manufacturing,” 2021, pp. 487–496.
  9. Yadav, D. Chhabra, R. Kumar Garg, A. Ahlawat, and A. Phogat, “Optimization of FDM 3D printing process parameters for multi-material using artificial neural network,” Mater. Today Proc., vol. 21, pp. 1583–1591, 2020, doi: https://doi.org/10.1016/j.matpr.2019.11.225.
  10. Elkaseer, S. Schneider, and S. G. Scholz, “Experiment-Based Process Modeling and Optimization for High-Quality and Resource-Efficient FFF 3D Printing,” Applied Sciences, vol. 10, no. 8. 2020, doi: 10.3390/app10082899.
  11. Özen, D. Auhl, C. Völlmecke, J. Kiendl, and B. E. Abali, “Optimization of Manufacturing Parameters and Tensile Specimen Geometry for Fused Deposition Modeling (FDM) 3D-Printed PETG,” Materials, vol. 14, no. 10. 2021, doi: 10.3390/ma14102556.
  12. Ajay Kumar, M. S. Khan, and S. B. Mishra, “Effect of machine parameters on strength and hardness of FDM printed carbon fiber reinforced PETG thermoplastics,” Mater. Today Proc., vol. 27, pp. 975–983, 2020, doi: https://doi.org/10.1016/j.matpr.2020.01.291.
  13. R. C. Dizon, A. H. Espera, Q. Chen, and R. C. Advincula, “Mechanical characterization of 3D-printed polymers,” Addit. Manuf., vol. 20, pp. 44–67, 2018, doi: https://doi.org/10.1016/j.addma.2017.12.002.
  14. H. Lee, J. Abdullah, and Z. A. Khan, “Optimization of rapid prototyping parameters for production of flexible ABS object,” J. Mater. Process. Technol., vol. 169, no. 1, pp. 54–61, 2005, doi: https://doi.org/10.1016/j.jmatprotec.2005.02.259.
  15. Alafaghani, A. Qattawi, B. Alrawi, and A. M. Guzmán, “Experimental Optimization of Fused Deposition Modelling Processing Parameters: A Design-for-Manufacturing Approach,” Procedia Manuf., vol. 10, pp. 791–803, 2017, [Online]. Available: https://api.semanticscholar.org/CorpusID:116699701.
  16. Akhoundi and A. H. Behravesh, “Effect of Filling Pattern on the Tensile and Flexural Mechanical Properties of FDM 3D Printed Products,” Exp. Mech., pp. 1–15, 2019, [Online]. Available: https://api.semanticscholar.org/CorpusID:139318420.
  17. Z. Hervan, A. Altınkaynak, and Z. Parlar, “Hardness, friction and wear characteristics of 3D-printed PLA polymer,” Proc. Inst. Mech. Eng. Part J J. Eng. Tribol., vol. 235, pp. 1590–1598, 2020, [Online]. Available: https://api.semanticscholar.org/CorpusID:225169924.
  18. Dudescu and L. Racz, “Effects of Raster Orientation, Infill Rate and Infill Pattern on the Mechanical Properties of 3D Printed Materials,” ACTA Univ. Cibiniensis, vol. 69, 2017, doi: 10.1515/aunts-2017-0004.
  19. Anitha, S. Arunachalam, and P. Radhakrishnan, “Critical parameters influencing the quality of prototypes in fused deposition modeling,” J. Mater. Process. Technol., vol. 118, no. 1, pp. 385–388, 2001, doi: https://doi.org/10.1016/S0924-0136(01)00980-3.
  20. P. Dinesh Yadav, Deepak Chhabra, Ramesh Kumar Garg, Akash Ahlawat, “Optimization of FDM 3D printing process parameters for multi-material using artificial neural network,” in Materials Today: Proceedings, 2020, pp. 1583–1591.
  21. Tu, J. A. Arrieta-Escobar, A. Hassa, U. K. uz Zaman, A. Siadat, and G. Yang, “Optimizing Process Parameters of Direct Ink Writing for Dimensional Accuracy of Printed Layers,” 3D Print. Addit. Manuf., vol. 10, no. 4, pp. 816–827, 2023, doi: 10.1089/3dp.2021.0208.
Special Issue Open Access Original Research
Volume 13
Special Issue 01
Received 02/08/2024
Accepted 28/08/2024
Published 11/11/2024
608

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