Open Access
| Issue |
EPJ Web Conf.
Volume 370, 2026
International Conference on Advanced Physics: Innovations for a Sustainable Future (IEMPHYS-26)
|
|
|---|---|---|
| Article Number | 01007 | |
| Number of page(s) | 14 | |
| DOI | https://doi.org/10.1051/epjconf/202637001007 | |
| Published online | 29 May 2026 | |
- A. Shrivastava, J. S. Chohan, R. Kumar, On mechanical, morphological, and fracture properties of sustainable composite structure prepared by materials extrusion-based 3D printing. Journal of Materials Engineering and Performance. 33, 8778 (2024). doi: https://doi.org/10.1007/s11665-023-08593-y [Google Scholar]
- M. Mencarelli, L. Puggelli, Y. Volpe, B. Innocenti, Sensitivity on 3D-printed parameters of stiffness and Young’s modulus of FDM-printed PLA, StoneFilTM granite and Wood Fill filaments: a comparative analysis. Journal of Mechanics in Medicine and Biology. 7, 572 (2025). doi: https://doi.org/10.1142/S0219519425400548 [Google Scholar]
- V. P. Suresh Kumar, S. Seenivasan, G. B. Loganathan, P. Jayanthi, R. Girimurugan, S. Hasane Ahammad, Enhancing Mechanical Properties of PLA/Kevlar Fiber Composites with ZrO2 Nanorod Interface Modification for High-Performance Applications. Advances in Science, Technology & Innovation 2024. doi: https://doi.org/10.1007/978-3-031-63909-8_28 [Google Scholar]
- M. Al-Wswasi, W. A. Al-Khaleeli, S. A. Aufy, Implement the artificial neural network concept for predicting the mechanical properties of printed polylactic acid parts. Archives of Metallurgy and Materials. 19, 73 (2025). doi: https://doi.org/10.12913/22998624/201463 [Google Scholar]
- M. Sengottaiyan, S. Eswaran, R. Amal Quais, S. Rokumar, S. Rohan, Enhancing Compressive Strength of Additively Manufactured Polylactic Acid Composites using Simultaneous Impregnation Extrusion and Carbon Fiber Reinforcement. Malaysian Journal of Chemistry. 27, 427 (2025). doi: https://doi.org/10.55373/mjchem.v27i3.427 [Google Scholar]
- A. S. Khusheef, R. Hashemi, M. Shahbazi, Optimizing FDM process parameters: predictive insights through Taguchi, regression, and neural networks. Physica Scripta. 99, 065201 (2024). doi: https://doi.org/10.1088/1402-4896/ad42d7 [Google Scholar]
- K. Patel, S. Acharya, G. D. Acharya, Multi objective optimization of FDM parameters using Taguchi grey relation analysis for PLA specimen. Jurnal Kejuruteraan. 36, 113 (2024). 36(1) doi: https://doi.org/10.17576/jkukm-2024-36(1)-11 [Google Scholar]
- R. Girimurugan, M. Vairavel, A.A. Moorthy, E. Prakash, S. Madheswaran, Experimental Studies on Mechanical Behaviour of Polylactide (PLA) Matrix-Aluminium Oxide (Al2O3) Particles Reinforced Composites. Advances in Materials Research. 589 2019. doi: https://doi.org/10.1007/978-981-15-8319-3 58 [Google Scholar]
- M. Sengottaiyan, S. Eswaran, M. Sathish, S. Sudharsan, A. Thanish Samson, Influence of Printing Parameters on the Strength and Toughness of 3D-Printed Composites. In EPJ Web of Conferences. 336, 02003 (2025). doi: https://doi.org/10.1051/epjconf/202533602003 [Google Scholar]
- P. Anerao, A. Kulkarni, Y. Munde, N. Wasatkar, A comparative study of machine learning techniques for predicting mechanical properties of fused deposition modelling (FDM)-based 3D-printed wood/PLA biocomposite. Mechanics & Advanced Composite Structures. 12, 261 (2025). doi: https://doi.org/10.22075/macs.2024.33776.1638 [Google Scholar]
- V. Mishra, N. Bharat, V. Kumar, M. Vellaisamy, D. Veeman, Multi-objective optimization of 3D printed PLA/carbon fibre composite using a combined approach of gray relational analysis and ANOVA. Journal of Reinforced Plastics and Composites. 38, 4208 (2025). doi: https://doi.org/10.1177/08927057251339246 [Google Scholar]
- P. Thangavel, S. Vignesh, R. Sureshkumar, A. Gowrishankar, R. Girimurugan, Study on mechanical properties of polylactic acid matrix added with fly ash and tamarind kernel powder micro fillers. NanoWorld J. 9(S1), S626 2023. [Google Scholar]
- M. Moradi, O. Mehrabi, F. A. Rasoul, A. A. Mattie, F. Schaber, R. Khandan, Enhancing 3D printing copper-PLA composite fabrication via fused deposition modeling through statistical process parameter study. Micromachines. 15, 1082 (2024). doi: https://doi.org/10.3390/mi15091082 [Google Scholar]
- K. R. Kumar, M. Gokul, M. Kumar, Investigations on mechanical properties and characterisation of polylactic acid/aluminium metal infill polymer composites manufactured by fused deposition modelling. Journal of Materials Engineering and Performance. 33, 8857 (2024). doi: https://doi.org/10.1007/s11665-023-08572-3 [Google Scholar]
- M. Easwaramoorthi, A. Giridharan, K. Nandhakumar, E. Pradeep, G. Rangith, Mechanical Characterization and Predictive Analysis of Flax Fiber/PLA Honeycomb Sandwich Structures in FDM Additive Manufacturing. In E3S Web of Conferences. 559, 02010 (2024). doi: https://doi.org/10.1051/e3scon/202455902010 [Google Scholar]
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