Abstract
This paper proposed a framework for integrating artificial intelligence (AI) techniques and mechanistic models in the task of generating process plans for prismatic parts. The main issue of process planning addressed in this paper is the determination of the operation sequence for mechanical parts containing interacting features where machining of one feature might adversely affect the surface quality of other features. The informed graph-search strategy in AI is used to achieve the function of operation sequence planning. The search graph is built by considering alternative machining operations in converting a blank stock into the final part configuration. Several heuristic functions concerning machining practices are developed to help to reduce the complexity of the search graph. Mechanistic models of different interaction machining situations are also considered to help the graph-search process so that the process plan generated can ensure the machining of high-quality mechanical parts, this idea of incorporating mechanistic models in operation sequence planning activities makes it possible to build in surface-quality considerations at the early process-planning stage. © 1998 Elsevier Science S.A.
Recommended Citation
A. C. Lin et al., "An Integrated Approach to Determining the Sequence of Machining Operations for Prismatic Parts with Interacting Features," Journal of Materials Processing Technology, vol. 73, no. 1 thru 3, pp. 234 - 250, Elsevier, Jan 1998.
The definitive version is available at https://doi.org/10.1016/S0924-0136(97)00233-1
Department(s)
Mechanical and Aerospace Engineering
Keywords and Phrases
CAD; Machining sequence determination; Process planning
International Standard Serial Number (ISSN)
0924-0136
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Elsevier, All rights reserved.
Publication Date
01 Jan 1998
