Knowledge-based process layout system for axisymmetrical deep drawing using decision tables

Abstract

In practice, the success of even a very simple single-stage sheet metal drawing depends on the tool designer's experience. Intelligent computer aided process planning (CAPP) is an ideal tool to reduce design time, increase productivity, and design the die without too much reliance on human expertise. In this present computer aided process planning for deep drawing, the required finished part is input to the system, and the output is a set of highest feasible forming process parameters for the purpose of die design. A decision table provides a means to link the numerous decision factors with recommendations in a complete and non-redundant manner. The logic rules contained within a decision table can be a number of production rules, fuzzy set and frame as well. The decision table, which is an easily understandable logic representation method even for complex situations, has been implemented in the present CAPP for deep drawing process.