Fast Estimation of Favorable Parameters of Hot Metal Forming, Using the Fuzzy Logic Method

Abstract

The paper presents an approach based on the use of the fuzzy logic method as a tool for quick estimation of favorable parameters of hot plastic working of selected alloy and for the identification of those combinations of parameters that should be avoided. The idea and basic principles of operation of fuzzy controllers for the selection of thermo-mechanical parameters of hot metal forming were presented. The most important information necessary for a quick analysis based on knowledge engineering has been compiled. An example of the fuzzy controller using the information obtained based on plastometric test data and the results of observation of the microstructure state of deformed samples at various temperature and strain rate variants is presented. For the tested alloy, it was shown that the analysis of the parameters of their plastic processing using the fuzzy logic method, based on properly formulated expert knowledge, leads to obtaining satisfactory results. Thus, it was confirmed that fuzzy logic can be successfully used as a tool for quick estimation of correct or unfavorable thermal and mechanical combinations of hot forging processes.

Keywords

• hot plastic working
• knowledge engineering
• fuzzy driver
• plastometric tests
• microstructure