Optimising the impact strength of 3D printed PLA components using metaheuristic algorithms

• Autorzy: Jatti Vijaykumar S. , Tamboli Shahid , Patel Parvez , Shaikh Sarfaraj , Gulia Vikas , Chaudhari Lalit R. , Saiyathibrahim A. , Mohan Dhanesh G. , Krishnan R. Murali

Identyfikatory

DOI

10.2478/adms-2024-0009

• Języki publikacji: EN

Abstrakty

EN

This study investigates the correlation among the impact strength of Polylactic acid (PLA) material as well as many 3D printing parameters, including layer height, infill density, extrusion temperature, and print speed, using Fused Deposition Modelling (FDM) in Additive Manufacturing (AM). By using well-planned trials, the ASTM D256 standard assessed the impact strength of samples. Impact strength was optimized using six distinct techniques: Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Simulated Annealing (SA), Teaching Learning Based Optimization (TLBO), and Cohort Intelligence (CI). These approaches are reliable since they consistently delivered similar impact strength values after several iterations. The best algorithms, according to the study, were TLBO and JAYA, which produced a maximum impact strength of 4.08 kJ/m2. The algorithms' effectiveness was validated by validation studies, which showed little error and near matches between the expected and actual impact strength values. The advantages of employing these methods to increase the impact strength of PLA material for 3D printing are illustrated in the present research, which provides helpful insights on how to improve FDM procedures.

Słowa kluczowe

EN

impact strength; JAYA algorithm; Fused Deposition Modeling; particle swarm optimization; Teaching Learning Based Optimization; cohort intelligence

PL

udarność; algorytm Jaya; modelowanie osadzania stopionego; optymalizacja roju cząstek; optymalizacja oparta na uczeniu; inteligencja kohortowa

• Wydawca: Politechnika Gdańska
• Czasopismo: Advances in Materials Science
• Rocznik: 2024
• Tom: Vol. 24, nr 2(80)
• Strony: 5--20
• Opis fizyczny: Bibliogr. 24 poz., rys., tab., wykr.

Twórcy

autor

Jatti Vijaykumar S.

• Department of Mechanical Engineering, Symbiosis Institute of Technology, Symbiosis International (Deemed University), Pune 412115, India

autor

Tamboli Shahid

• Department of Mechanical Engineering, Symbiosis Institute of Technology, Symbiosis International (Deemed University), Pune 412115, India

autor

Patel Parvez

• Department of Mechanical Engineering, Symbiosis Institute of Technology, Symbiosis International (Deemed University), Pune 412115, India

autor

Shaikh Sarfaraj

• Department of Mechanical Engineering, Symbiosis Institute of Technology, Symbiosis International (Deemed University), Pune 412115, India

autor

Gulia Vikas

• Department of Mechanical Engineering, Symbiosis Institute of Technology, Symbiosis International (Deemed University), Pune 412115, India

autor

Chaudhari Lalit R.

• Department of Instrumentation Engineering, D Y Patil Institute of Technology, Savitribai Phule Pune University, Pune 411018, India

autor

Saiyathibrahim A.

• Department of Mechanical Engineering, Karpagam Institute of Technology, Coimbatore, Tamil Nadu 641105, India

autor

Mohan Dhanesh G.

• School of Engineering, Faculty of Technology, University of Sunderland, Sunderland SR60DD, United Kingdom
• Centre of Research Impact and Outcome, Chitkara University Institute of Engineering and Technology, Chitkara University, 140401, Punjab, India

autor

Krishnan R. Murali

• Department of Mechanical Engineering, Karpagam Institute of Technology, Coimbatore, Tamil Nadu 641105, India

Bibliografia

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• 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
• 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
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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025).