Intelligent Case Retrieval and Modification for Machining Process Planning of Axisymmetric Parts
This research focuses on the development of a retrieval and modification system for reusing a machining process plan of an axisymmetric part for a new part. The proposed system is capable of retrieving the most relevant case of which the finished part is similar to the new desired part, and then modifying the retrieved case to meet the new requirements. The system uses a feature-based representation scheme to represent mechanical parts and processes. According to the cutting process of a part, two kinds of indexes: two-dimensional indexing and feature indexing, are used to organize the case library, and hierarchical structure of cutting processes is employed to store the cutting history of previous cases. Based on the part representation, indexes and the hierarchical structure, an effective similarity metric which incorporates geometric shape, material precision, and cutting process is developed to retrieve the most similar case for the case library. In addition, a modification mechanism is provided to modify the retrieved case. The system is implemented on a Sun workstation using ACIS geometric modeler and C++.
H. Chang et al., "Intelligent Case Retrieval and Modification for Machining Process Planning of Axisymmetric Parts," Proceedings of the Artificial Intelligence and Manufacturing Workshop, Association for the Advancement of Artificial Intelligence, Jan 1998.
Artificial Intelligence and Manufacturing Workshop
Air Force Research Laboratory (Wright-Patterson Air Force Base, Ohio)
Missouri. Department of Economic Development
National Science Foundation (U.S.)
Keywords and Phrases
Axisymmetric Parts; Intelligent Case Retrieval; Machining; Process Planning
Article - Conference proceedings
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