“Cold Forming and Heat Treatment Process Analysis using FEM and ANN
Present work studies the production process of an automotive suspension steel rivet. The main objective was to adjust the production process to the required technical specifications concerning material (SAE 1010), geometry, dimensional tolerances, final hardness and grain size. The actual process was not adequate for the specifications in terms of required hardness and grain size of the end product, presenting values that were higher than those specified. In this study FEM simulations (Q form R) and Adaptive Neural Networks (ANN) were employed. Several processing parameters have been collected for several lots that have been cold formed and heat treated and these data supplied as inputs to the ANN. Simultaneously, several cold forming alternatives have been studied by FEM. From the crossover of this information a new processing route has been developed in order to comply with the specifications. In the case of the cold forming, the cold drawing stage, altering the raw material diameter and the die geometry was adequate. As for the heat treatment stage, reduction of temperature and cycle time was obtained.
Alberto Spaziani Carlos Alberto Pedron Carlos Roberto Jeronymo Mateus Mendes de Oliveira Ronald Lesley Plaut
Manager Process Eng.,Iraos Parasmo SA,Diadema,Sao Paulo,Brazil Programmer, Usicam Ind .Com., Diadema, S(a)o Paulo, Brazil Lecturer, E.T.Lauro Gomes, S.Bernardo, S(a)o Paulo, Brazil Applic.Manager, Schmloz+Bieckenbach do Brasil, S(a)o Paulo, Brazil Professor, Metallurgical Eng,Dept.,University of S(a)o Paulo, Brazil
国际会议
桂林
英文
1-13
2010-11-16（万方平台首次上网日期，不代表论文的发表时间）