Supporting Low Environmental Impact through use of Artificial Neural Networks in Process Simulation of Self-Piercing Rivets

Centre for High Value, Low Environmental Impact Manufacturing

WMG, University of Warwick

This project, in association with Jaguar Land Rover, will adapt an innovative approach to analyse the Self-Piercing Rivets (SPR) process and will develop and implement the best model(s) to provide maximum value to the manufacturing process and support the objective of lowering environmental impact. For this you will use Artificial Neural Network (ANN), a completely different approach to the traditional FEA technique, which has the ability of learning from examples through inputs and outputs to find patterns in data and can then predict SPR process parameters.