Improving the Flexural Behaviour of Small Clear 3D-Printed PLA Specimens Through Generative Design

The interest to look into alternative engineered materials, which would maximize the efficiency and performance attributes in numerous modern engineering application as well as to push the boundary imposed by present-day material science in the field engineering, is ever so high. One commonly search...

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Bibliographic Details
Published in2023 International Conference on Sustainable Technology and Engineering (i-COSTE) pp. 1 - 5
Main Authors Ramful, Raviduth, Shoaib Casseem, Mohammad
Format Conference Proceeding
LanguageEnglish
Published IEEE 04.12.2023
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Summary:The interest to look into alternative engineered materials, which would maximize the efficiency and performance attributes in numerous modern engineering application as well as to push the boundary imposed by present-day material science in the field engineering, is ever so high. One commonly searched feature in engineered materials is their high strength-to-weight ratio. The new AI (Artificial Intelligence) -driven technique of generative design has revolutionized the method of design refinement in Computer-Aided Design (CAD) by enabling advanced optimization techniques which was formerly-unavailable. This study seeks to apply the technique of generative design to improve the flexural behaviour of small clear Polylactic acid (PLA) specimens produced through the additive manufacturing process. The results obtained have shown that despite the optimized material geometry and weight, the refined model was still able to bear significantly high bending loads. Further analysis via the Finite Element Method (FEM) was conducted to substantiate the experimental investigation. Findings of this study illustrates the benefits of generative design which can seamlessly provide advanced design refinements all while preserving or enhancing mechanical performance of the material.
DOI:10.1109/i-COSTE60462.2023.10500778