Development of a Machine Learning Model for Analysis of An Alloy Wheel

The project work deals with the development of machine learning model for deformations and von-mises stresses of an alloy wheel. The model for alloy wheel is developed in Solid Works. Hence it is necessary to design an alloy wheel which has maximum deformation and von-mises stress, keeping the design safe under all loading conditions. The project work deals with the development of machine learning model for analysis of Alloy wheel with different pressure and loading Conditions. The data bank for alternating von-meses stress and deformation of alloy wheel is developed by using static structural analysis. Python programming language is used to develop machine learning model. Three machine learning models Linear Regression Algorithm, Support Vector Machine Algorithm and Random Forest Algorithm are used and the score for each model is determined.