“Predictive Regression Modelling Of Surface Roughness In FDM-Printed PLA Biocomposites With SEM-Supported Microstructural Analysis”
DOI:
https://doi.org/10.29284/ghdzhz51Keywords:
3D printing; PLA biocomposites; surface roughness; fused deposition modeling; predictive modelling.Abstract
The surface roughness is a significant parameter in determining the functional behavior and surface quality of additively manufactured polymer composites. In this study, the surface roughness parameters (Ra, Rq, and Rz) of FDM-printed PLA biocomposites reinforced with Acacia bark and Asparagus racemosus powders were taken into account as quantifiable surface roughness signals and developed using a regression-based predictive model. The specimens were made with varying biofiller ratios (2-6 wt.%) and printing orientations (Flat, On-Edge, and Vertical), and the signals were measured using a Mitutoyo profilometer. Artificial Neural Network (ANN) and Support Vector Regression (SVR) models were employed to establish correlations between material composition, printing orientation, and surface roughness signals, and the outcomes were evaluated using R², MAE, and RMSE criteria. The regression models were able to establish the nonlinear relationships of the roughness signals, and the SEM image analysis facilitated the understanding of the filler distribution, adhesion, and microstructural defects. The signal-regression model-based approach offers a valid method for the predictive surface quality analysis and optimization of sustainable PLA-based additive manufacturing processes.
References
1. Sandanamsamy, L., Mogan, J. P., Halim, N. A., Harun, W. S. W., Kadirgama, K., & Ramasamy, D. (2021). A review on 3D printing bio-based polymer composite. IOP Conference Series Materials Science and Engineering, 1078(1), 012031. https://doi.org/10.1088/1757-899X/1078/1/012031
2. R. A. Ilyas, S. M. Sapuan, M. M. Harussani, M. Y. A. Y. Hakimi, M. Z. M. Haziq, M. S. N. Atikah, M. R. M. Asyraf, M. R. Ishak, M. R. Razman, N. M. Nurazzi, M. N. F. Norrrahim, H. Abral, and M. Asrofi, “Polylactic Acid (PLA) Biocomposite: Processing, Additive Manufacturing and Advanced Applications,” Polymers, vol. 13, no. 8, p. 1326, Apr. 2021, doi: 10.3390/polym13081326.
3. Kechagias, J.D., “Surface roughness assessment of ABS and PLA filament 3D printing parts: structural parameters experimentation and semi-empirical modeling”, Int J Adv Manuf Technology 134, 1935–1946 (2024). https://doi.org/10.1007/s00170-024-14232-0
4. Irene Buj-Corral, Xavier Sanchez-Casas and Carmelo J. Luis-Perez, “Analysis of AM Parameters on Surface Roughness Obtained in PLA Parts Printed with FFF Technology”, Polymers 2021, 13(14), 2384; https://doi.org/10.3390/polym13142384
5. Roberson, D., et al., “Expanding the applicability of FDM-type technologies through materials development”, Rapid Prototyping Journal, 2015. 21(2): p. 137-143.
6. N. Ayrilmis, “Effect of layer thickness on surface properties of 3D-printed materials produced from wood flour/PLA filament,” Polymer Testing, vol. 71, pp. 163–166, 2018, doi: 10.1016/j.polymertesting.2018.09.009.
7. E. Gori et al., “PLA/PBS biocomposites for 3D FDM manufacturing: Effect of hemp shive content and process parameters on printing quality and performances,” Polymers, vol. 17, no. 17, p. 2280, 2025.
8. N. Jayanth, P. Senthil, C. Prakash, “Effect of chemical treatment on tensile strength and surface roughness of 3D-printed ABS using the FDM process”, Virtual Phys. Prototyp. 13, 155–163 (2018)
9. Jiang, B.; “Residual stress and warpage of additively manufactured composites”, Journal of Materials Research and Technology, 2023.
10. S.Singh, G. Singh, C. Prakash, S. Ramakrishna, L. Lamberti, C.I. Pruncu, “3D printed biodegradable composites: An insight into mechanical properties of PLA/chitosan scaffold”, Polymer Testing (2020), doi: https://doi.org/10.1016/j.polymertesting.2020.106722.
11. M. S. Alsoufi, "Surface roughness of FDM 3D-printed PLA parts: Impact of print orientation and measurement direction," Mater. Today Proc., vol. 5, no. 9, pp. 19114–19123, 2018, doi: 10.1016/j.matpr.2018.06.187.
12. Yadav, P., Sahai, A. & Sharma, R.S., “Strength and Surface Characteristics of FDM-Based 3D Printed PLA Parts for Multiple Infill Design Patterns”, J. Inst. Eng. India Ser. C 102, 197–207 (2021). https://doi.org/10.1007/s40032-020-00625-z
13. Nadir Ayrilmis, “Effect of layer thickness on surface properties of 3D printed materials produced from wood flour/PLA filament”, Polymer Testing 71 (2018) 163–166
14. Lee, C.S., et al., “Measurement of anisotropic compressive strength of rapid prototyping parts”, Journal of Materials Processing Technology, 2007. 187(Supplement C): p. 627-630.
15. Sood, A.K., R.K. Ohdar, and S.S. Mahapatra, “Improving dimensional accuracy of Fused Deposition Modeling processed part using grey Taguchi method”, Materials & Design, 2009. 30(10): p. 4243-4252.
16. Muhammad Abas, Tufail Habib, Sahar Noor, “Comparative study of I-optimal design and definitive screening design for developing prediction models and optimization of average surface roughness of PLA printed parts using fused deposition modeling”, The International Journal of Advanced Manufacturing Technology 125(1-2), December 2022, DOI:10.1007/s00170-022-10784-1.
17. D. Popescu, D. Zapciu, C. Amza, F. Baciu, and R. Marinescu, "FDM process parameters influence over the mechanical properties of polymer specimens: A review," Polymer Testing, vol. 69, pp. 157–166, 2018, doi: 10.1016/j.polymertesting.2018.05.020.
18. Abas, M., Habib, T., & Noor, S. (2022). Comparative study of I-optimal design and definitive screening design for developing prediction models and optimization of average surface roughness of PLA printed parts using fused deposition modeling. The International Journal of Advanced Manufacturing Technology, 125, 1–18. https://doi.org/10.1007/s00170-022-10784-1
19. R. M. Haralick, K. Shanmugam, and I. Dinstein, “Textural features for image classification,” IEEE Trans. Syst., Man, Cybern., vol. SMC-3, no. 6, pp. 610–621, 1973.
20. J. C. Russ, The Image Processing Handbook, 7th ed., Boca Raton, FL, USA: CRC Press, 2016.
21. C. E. Shannon, “A mathematical theory of communication,” Bell Syst. Tech. J., vol. 27, pp. 379–423, 1948.
22. A. Materka and M. Strzelecki, “Texture analysis methods – A review,” Tech. Univ. of Lodz, oland, Tech. Rep., 1998.
23. L. Soh and C. Tsatsoulis, “Texture analysis of SAR sea ice imagery using GLCM,” IEEE Trans. Geosci. Remote Sens., vol. 37, no. 2, pp. 780–795, 1999.
24. D. T. Fullwood et al., “Microstructure reconstructions from 2-point statistics,” Acta Materialia, vol. 56, no. 5, pp. 942–948, 2008.
25. M. Sepehr et al., “Correlation of mechanical properties and morphology in PLA composites,” Polym. Eng. Sci., vol. 44, no. 4, pp. 734–744, 2004.
26. D. C. Montgomery, E. A. Peck, and G. G. Vining, Introduction to Linear Regression Analysis, 5th ed., Hoboken, NJ, USA: Wiley, 2012.
27. M. S. Alsoufi, “Surface roughness of FDM 3D-printed PLA parts: Impact of print orientation and measurement direction,” Materials Today: Proceedings, vol. 5, no. 9, pp. 19114–19123, 2018, doi: 10.1016/j.matpr.2018.06.187.
28. I. Buj Corral, X. Sánchez Casas, and C. J. Luis Pérez, “Analysis of AM parameters on surface roughness obtained in PLA parts printed with FFF technology,” Polymers, vol. 13, no. 14, p. 2384, Jul. 2021, doi: 10.3390/polym13142384.
29. A. P. Golhin, R. Tonello, J. R. Frisvad, et al., “Surface roughness of as-printed polymers: A comprehensive review,” The International Journal of Advanced Manufacturing Technology, vol. 125, pp. 1–25, 2023, doi: 10.1007/s00170-023-11566-z.
30. S. Singh, G. Singh, C. Prakash, S. Ramakrishna, L. Lamberti, and C. I. Pruncu, “3D printed biodegradable composites: An insight into mechanical properties of PLA/chitosan scaffold,” Polymer Testing, vol. 90, p. 106722, 2020, doi: 10.1016/j.polymertesting.2020.106722.
31. P. Yadav, A. Sahai, and R. S. Sharma, “Strength and surface characteristics of FDM-based 3D printed PLA parts for multiple infill design patterns,” J. Inst. Eng. India Ser. C, vol. 102, pp. 197–207, 2021, doi: 10.1007/s40032-020-00625-z.
32. K. E. Mazur, A. Miklaszewska, P. Kaczor, et al., “Mechanical, thermal and microstructural characteristics of 3D printed polylactide composites with natural fibers: wood, bamboo and cork,” J. Polym. Environ., vol. 30, pp. 2341–2354, 2022, doi: 10.1007/s10924-021-02356-3.
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