Intelligent Manufacturing Management Systems

9Implementation of FEM and Machine Learning Algorithms in the Design and Manufacturing of Laminated Composite Plate

Sidharth Patro¹, Trupti Ranjan Mahapatra¹*, Romeo S. Fono Tamo², Allu Vikram Kishore Murty³, Soumya Ranjan Parimanik¹ and Debadutta Mishra¹

¹Department of Production Engineering, Veer Surendra University of Technology, Odisha, India

²Department of Mechanical, Aerospace and Biomedical Engineering, University of Tennessee, TN, USA

³AIML Architect, Bengaluru, Karnataka, India

Abstract

In this paper, a coupled finite element method (FEM) and supervised machine learning (SML) scheme has been proposed and implemented for predicting the static deflection in laminated composite plate for subsequent design and synthesis. To do away with the time, cost and need of repeatability associated with experimental data, a well-established nonlinear higher-order FE model using full geometrical nonlinearity in Green-Lagrange sense has been used to compute the central deflection values of laminated composite plates. Desired responses are acquired via a self-developed MATLAB computer code as per Taguchi’s experimental design considering the lay-up scheme, aspect ratio, thickness ratio and the support conditions of the laminated composite plate structure as the controllable factors under five different uniformly distributed load parameters. This numerically prepared dataset has been utilized to find the best performing regression model using ANN and Supervised Regression Methodologies ...