TY - JOUR
T1 - Handling feature interactions in process-planning
AU - Karinthi, Raghu
AU - Nau, Dana
AU - Yang, Qiang
PY - 1992
Y1 - 1992
N2 - The development of a successful approach to the integration of computer-aided design and computer-aided process-planning will require solutions to several fundamental problems in planning and geometric reasoning. In this article, we consider two such problems, both of which arise from interactions among machinable features. The first problem is that interactions can lead to several alternative interpretations of what the machinable features are. We address this problem by developing an algebra of features. The second problem is that interactions among features can cause problems in optimizing the process plans. For this problem, we have developed a branch-and-bound optimization algorithm with good heuristics to guide the search. This article presents the theory and mathematical framework for both problems and also the details of the implementation and experimental results.
AB - The development of a successful approach to the integration of computer-aided design and computer-aided process-planning will require solutions to several fundamental problems in planning and geometric reasoning. In this article, we consider two such problems, both of which arise from interactions among machinable features. The first problem is that interactions can lead to several alternative interpretations of what the machinable features are. We address this problem by developing an algebra of features. The second problem is that interactions among features can cause problems in optimizing the process plans. For this problem, we have developed a branch-and-bound optimization algorithm with good heuristics to guide the search. This article presents the theory and mathematical framework for both problems and also the details of the implementation and experimental results.
UR - https://www.webofscience.com/wos/woscc/full-record/WOS:A1992KD40600001
UR - https://openalex.org/W1984423336
UR - https://www.scopus.com/pages/publications/0026930175
U2 - 10.1080/08839519208949964
DO - 10.1080/08839519208949964
M3 - Journal Article
SN - 0883-9514
VL - 6
SP - 389
EP - 415
JO - Applied Artificial Intelligence
JF - Applied Artificial Intelligence
IS - 4
ER -