Reasoning about machining operations using feature-based models

Abstract

SUMMARY The success of future automated planning systems greatly depend on further advances in two areas: (a) enhanced product modelling systems capable of answering questions posed during the planning phase; and (b) techniques for representing and manipulating planning knowledge The work reported in this paper, investigates the use of a feature-based approach for modelling engineering parts to support the product data requirements of an intelligent planning system, employing the frame-based and rule-based knowledge representation techniques from artificial intelligence research. The approach has been applied to the domain of rotational parts.