4.7 Article

Decision rule mining for machining method chains based on rough set theory

期刊

JOURNAL OF INTELLIGENT MANUFACTURING
卷 33, 期 3, 页码 799-807

出版社

SPRINGER
DOI: 10.1007/s10845-020-01692-w

关键词

Machining method; Process planning; Rule mining; Rough set theory; Derivation rules

资金

  1. National Natural Science Foundation of China [51705100]
  2. Fundamental Research Funds for the Central Universities [HIT.NSRIF.2019078]
  3. Domain Foundation of Equipment Advance Research of 13th Five-Year Plan [61409230102]
  4. Institution-Locality Cooperation Project

向作者/读者索取更多资源

The article introduces a new decomposition-reorganization method (DRM) to mine rules for machining method chains, which can help technologists design new machining method chains and eliminate the main limitation of existing rough set models. The effectiveness of this method is validated by using three types of shell parts.
Decision rules for machining method chains mined from historical machining documents can help technologists quickly design new machining method chains. However, the main factor that limits the practical application of existing rough set models is that the boundary regions are too large. Therefore, a decomposition-reorganization method (DRM) is proposed to mine rules for machining method chains. First, binary coding is used to decompose the existing machining method chains, and the decision rules for a single machining method are mined based on rough set reduction. Then, machining method chains are obtained by reorganizing the machining methods in accordance with the decision rules. DRM can eliminate the boundary regions without human intervention and recommend machining method chains for all features whose parameters have appeared in historical machining documents. Finally, three types of shell parts are used to verify the effectiveness of DRM.

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