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Squeeze Casting Process Knowledge System Using Minimum Subjection Degree Fuzzy Reasoning

Process parameters are crucial to produce squeeze casting components. This paper presented an innovative approach to obtain squeeze casting process parameters based on knowledge management. The squeeze casting process knowledge was analyzed, namely, component design features, process parameters and component quality indexes, which are structural data with casual relations. A five-layered squeeze casting process knowledge management system was designed, which used relational database to store squeeze casting process knowledge. To obtain process parameters of new components by selecting the most appropriate options from the system, a fuzzy reasoning method using minimum subjection degree of material and geometry was introduced; the paper constructed the subjection degree calculation equations. It is indicated that this saves time of getting process parameters and helps use experiment results efficiently.