Study on Process Parameter Prediction of Chisel Hot Forging by AIM and FEM

• Main Authors: Chen Yu-sin, 陳煜欣
• Other Authors: Chin-Tarn Kwan
• Format: Others
• Language: zh-TW
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/35598660316437866929

碩士 === 南開科技大學 === 車輛與機電產業研究所 === 101 === In this paper, the finite element method is employed in conjunction with the abductive network to predict the forging loads, die stress, forged workpiece strain and billet diameter in chisel hot forging. Different forging part dimensions combined with flash heights are taken into account as the process parameters in this study. A finite element-based code is utilized to investigate the forging loads, die stress and forged workpiece strain under different process parameters, and the abductive network is then employed to synthesize the data sets obtained from numerical simulations, thus establishing a predictive model. From this model, a forging load, die stress, forged workpiece strain and billet diameter can be predicted. The maximum predicting error of the prediction methods is 17.54% by the abductive network.