Paper Infomation
Gear Hobbing Process Parameters Optimization Decision Based on AHP and CBR
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Author: Weidong Cao, Chunping Yan
Abstract: To retrieve previous process cases efficiently, and improve integrated processing effect, this paper proposes gear hobbing process parameters optimization decision based on analytic hierarchy process (AHP) and case-based reasoning (CBR). Gear hobbing process ontology library was conducted by Ontology. Considering the processing quality, processing time, processing costs, resource consumption and environmental impact, Gear hobbing process parameters decisions target space was established by using gear hobbing process ontology library and CBR. AHP was used to get the optimal decision program. The feasibility and effectiveness of the proposed method is validated by experiment.
Keywords: Gear Hobbing; Process Parameters; Optimization Decision; Analytic Hierarchy Process; Case-based Reasoning
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