Indexing and retrieval in machining process planning using case-based reasoning

Citation
Hc. Chang et al., Indexing and retrieval in machining process planning using case-based reasoning, ARTIF INT E, 14(1), 2000, pp. 1-13
Citations number
17
Categorie Soggetti
AI Robotics and Automatic Control
Journal title
ARTIFICIAL INTELLIGENCE IN ENGINEERING
ISSN journal
09541810 → ACNP
Volume
14
Issue
1
Year of publication
2000
Pages
1 - 13
Database
ISI
SICI code
0954-1810(200001)14:1<1:IARIMP>2.0.ZU;2-Q
Abstract
To reduce the manufacturing time of a product, one effective way to develop a machining process plan for a new part is to retrieve a relevant case of process planning similar to a new desired part and then adapt the retrieved case to meet the new requirements. This paper proposes a mechanism for ret rieval of process planning cases. The core of the retrieval mechanism conta ins: (1) a feature-based representation of a part and cutting processes; (2 ) indexing of a part; (3) a feature hierarchical structure based on cutting processes; and (4) a similarity metric used to measure the similarity betw een a new desired part and any old part in the case base. The application d omain here is for axisymmetric part machining. A prototype based on the ret rieval mechanism is implemented on a Sun workstation using the ACIS 3D-Tool kit from Spatial Technology Inc. (C) 2000 Elsevier Science Ltd. All rights reserved.