Abstract
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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Funding
This work was supported by the National Natural Science Foundation of China (51705100), the Fundamental Research Funds for the Central Universities (HIT.NSRIF.2019078), the Domain Foundation of Equipment Advance Research of 13th Five-Year Plan (61409230102) and an Institution-Locality Cooperation Project.
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Conceptualization: [RW]; methodology: [XG]; software: [GP]; validation: [RW]; formal analysis: [XG]; investigation: [LW]; resources: [LW]; data curation: [XG]; writing—original draft preparation: [XG]; writing—review and editing: [RW] and [LW]; visualization: [GP]; supervision: [SZ]; project administration: [SZ]; funding acquisition: [LW].
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Wang, R., Guo, X., Zhong, S. et al. Decision rule mining for machining method chains based on rough set theory. J Intell Manuf 33, 799–807 (2022). https://doi.org/10.1007/s10845-020-01692-w
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DOI: https://doi.org/10.1007/s10845-020-01692-w