Optimising the Impact Strength of 3D Printed PLA Components Using Metaheuristic Algorithms

1 Atakok, G., Kam, M. and Koc, H.B., 2022. Tensile, three-point bending and impact strength of 3D printed parts using PLA and recycled PLA filaments: A statistical investigation. Journal of Materials Research and Technology, 18, pp.1542–1554. https://doi.org/10.1016/j.jmrt.2022.03.013 Search in Google Scholar

2 Sabik, A., Rucka, M., Andrzejewska, A. and Wojtczak, E., 2022. Tensile failure study of 3D printed PLA using DIC technique and FEM analysis. Mechanics of Materials, 175, p.104506. https://doi.org/10.1016/j.mechmat.2022.104506 Search in Google Scholar

3 Cabreira, V. and Santana, R.M.C., 2020. Effect of infill pattern in Fused Filament Fabrication (FFF) 3D Printing on materials performance. Matéria (Rio de Janeiro), 25. https://doi.org/10.1590/S1517-707620200003.1126 Search in Google Scholar

4 Durga Prasad Reddy, J., Mishra, D. and Chetty, N., 2020. Strength and Hardness of 3D printed poly lactic acid and carbon fiber poly lactic acid thermoplastics. In Advances in Lightweight Materials and Structures: Select Proceedings of ICALMS 2020 (pp. 625–634). Singapore: Springer Singapore. https://doi.org/10.1007/978-981-15-7827-4_64 Search in Google Scholar

5 Kamaal, M., Anas, M., Rastogi, H., Bhardwaj, N. and Rahaman, A., 2021. Effect of FDM process parameters on mechanical properties of 3D-printed carbon fibre–PLA composite. Progress in Additive Manufacturing, 6, pp.63-69. https://doi.org/10.1007/s40964-020-00145-3 Search in Google Scholar

6 Solouki, A., Aliha, M.R.M. and Makui, A., 2023. A Methodology for Optimizing Impact Strength, Dimensional Accuracy and Costs of Manufacturing with Three-Dimensional Printing of Polylactic Acid. Arabian Journal for Science and Engineering, pp.1–25. https://doi.org/10.1007/s13369-023-08422-3 Search in Google Scholar

7 Atakok, G., Kam, M. and Koc, H.B., 2022. Tensile, three-point bending and impact strength of 3D printed parts using PLA and recycled PLA filaments: A statistical investigation. Journal of Materials Research and Technology, 18, pp.1542–1554. https://doi.org/10.1016/j.jmrt.2022.03.013 Search in Google Scholar

8 Hsueh, M.H., Lai, C.J., Chung, C.F., Wang, S.H., Huang, W.C., Pan, C.Y., Zeng, Y.S. and Hsieh, C.H., 2021. Effect of printing parameters on the tensile properties of 3D-printed polylactic acid (PLA) based on fused deposition modeling. Polymers, 13(14), p.2387. https://doi.org/10.3390/polym13142387 Search in Google Scholar

9 Rajpurohit, S.R. and Dave, H.K., 2021. Impact strength of 3D printed PLA using open source FFF-based 3D printer. Progress in Additive Manufacturing, 6(1), pp.119–131. https://doi.org/10.1007/s40964-020-00150-6 Search in Google Scholar

10 Almansoori, K. and Pervaiz, S., 2023. Effect of layer height, print speed and cell geometry on mechanical properties of marble PLA based 3D printed parts. Smart Materials in Manufacturing, 1, p.100023. https://doi.org/10.1016/j.smmf.2023.100023 Search in Google Scholar

11 Bardiya, S., Jerald, J. and Satheeshkumar, V., 2021. Effect of process parameters on the impact strength of fused filament fabricated (FFF) polylactic acid (PLA) parts. Materials Today: Proceedings, 41, pp.1103–1106. https://doi.org/10.1016/j.matpr.2020.08.066 Search in Google Scholar

12 Khan, I., Tariq, M., Abas, M., Shakeel, M., Hira, F., Al Rashid, A. and Koç, M., 2023. Parametric investigation and optimisation of mechanical properties of thick tri-material based composite of PLA-PETG-ABS 3D-printed using fused filament fabrication. Composites Part C: Open Access, 12, p.100392. https://doi.org/10.1016/j.jcomc.2023.100392 Search in Google Scholar

13 Prajapati, A.R., Dave, H.K. and Raval, H.K., 2021. Effect of fiber volume fraction on the impact strength of fiber reinforced polymer composites made by FDM process. Materials Today: Proceedings, 44, pp.2102–2106. https://doi.org/10.1016/j.matpr.2020.12.262 Search in Google Scholar

14 Rebenaque, A.G. and González-Requena, I., 2019. Study of bending test of specimens obtained through FDM processes of additive manufacturing. Procedia Manufacturing, 41, pp.859–866. https://doi.org/10.1016/j.promfg.2019.10.008 Search in Google Scholar

15 Mazen, A., McClanahan, B. and Weaver, J.M., 2022. Factors affecting ultimate tensile strength and impact toughness of 3D printed parts using fractional factorial design. The International Journal of Advanced Manufacturing Technology, pp.1–13. https://doi.org/10.1007/s00170-021-08433-0 Search in Google Scholar

16 Rajpurohit, S.R. and Dave, H.K., 2019. Analysis of tensile strength of a fused filament fabricated PLA part using an open-source 3D printer. The International Journal of Advanced Manufacturing Technology, 101, pp.1525–1536. https://doi.org/10.1007/s00170-018-3047-x Search in Google Scholar

17 Fayazbakhsh, K., Movahedi, M. and Kalman, J., 2019. The impact of defects on tensile properties of 3D printed parts manufactured by fused filament fabrication. Materials Today Communications, 18, pp.140–148. https://doi.org/10.1016/j.mtcomm.2018.12.003 Search in Google Scholar

18 Enemuoh, E.U. and Asante-Okyere, S., 2023. Impact of feature selection on neural network prediction of fused deposition modelling (FDM) print part properties. International Journal on Interactive Design and Manufacturing (IJIDeM), pp.1–15. https://doi.org/10.1007/s12008-023-01598-w Search in Google Scholar

19 Kumar, M.S., Javidrad, H.R., Shanmugam, R., Ramoni, M., Adediran, A.A. and Pruncu, C.I., 2021. Impact of print orientation on morphological and mechanical properties of L-PBF based AlSi7Mg parts for aerospace applications. Silicon, pp.1–15. https://doi.org/10.1007/s12633-021-01474-w Search in Google Scholar

20 Kafshgar, A.R., Rostami, S., Aliha, M.R.M. and Berto, F., 2021. Optimization of properties for 3d printed pla material using taguchi, anova and multi-objective methodologies. Procedia Structural Integrity, 34, pp.71–77. https://doi.org/10.1016/j.prostr.2021.12.011 Search in Google Scholar

21 Shahar, F.S., Sultan, M.T.H., Safri, S.N.A., Jawaid, M., Talib, A.R.A., Basri, A.A. and Shah, A.U.M., 2022. Fatigue and impact properties of 3D printed PLA reinforced with kenaf particles. Journal of materials research and technology, 16, pp.461–470. https://doi.org/10.1016/j.jmrt.2021.12.023 Search in Google Scholar

22 Halim, A.H., Ismail, I. and Das, S., 2021. Performance assessment of the metaheuristic optimization algorithms: an exhaustive review. Artificial Intelligence Review, 54(3), pp.2323–2409. https://doi.org/10.1007/s10462-020-09906-6 Search in Google Scholar

23 Jatti, V.S., Sapre, M.S., Jatti, A.V., Khedkar, N.K. and Jatti, V.S., 2022. Mechanical properties of 3D-printed components using fused deposition modeling: optimization using the desirability approach and machine learning regressor. Applied System Innovation, 5(6), p.112. https://doi.org/10.3390/asi5060112 Search in Google Scholar

24 Singh, J., Goyal, K.K., Kumar, R. and Gupta, V., 2022. Development of artificial intelligence-based neural network prediction model for responses of additive manufactured polylactic acid parts. Polymer Composites, 43(8), pp.5623–5639. https://doi.org/10.1002/pc.26876 Search in Google Scholar