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Published Subscription Original Research
Prediction of Mechanical Properties for Advanced Engineering Applications utilizing Polymer Composite Materials by Machine LearningBy R. Indhu, S. Palpandi, W.V. Sherlin Sherly, M. Indirani, M.D. Boomija, S. Suruthi, R. Balasubramaniyan
Abstract: Polymer composites show great promise as engineering materials because of their mechanical performance, resistance to corrosion, lightweight nature, and adaptability in design. Aerospace, automotive, biomedical, maritime, and civil engineers all rely on mechanical property prediction to cut down on trial expenses, expedite product development, and optimize material selection. Speedy design optimization is not possible using traditional numerical and experimental methods due to the high costs associated with material characterisation, computational …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 Read article →