DeepForge: Leveraging AI for Microstructural Control in Metal Forming via Model Predictive Control

arXiv:2402.16119v1 Announce Type: new
Abstract: This study presents a novel method for microstructure control in closed die hot forging that combines Model Predictive Control (MPC) with a developed machine learning model called DeepForge. DeepForge uses an architecture that combines 1D convolutional neural networks and gated recurrent units. It uses surface temperature measurements of a workpiece as input to predict microstructure changes during forging. The paper also details DeepForge's architecture and the finite element simulation model used to generate the data …

abstract architecture arxiv control convolutional neural networks cs.lg cs.sy die eess.sy hot machine machine learning machine learning model metal mpc networks neural networks novel predictive study type units via