CBR-Based Cutting Parameter Selection System and Searching Algorithm for Metal Machining Operations

Yan Cao; Sen Cao; Yu Bai; Xiao Fei Yang

doi:10.4028/www.scientific.net/AMR.710.554

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 710CBR-Based Cutting Parameter Selection System and...

CBR-Based Cutting Parameter Selection System and Searching Algorithm for Metal Machining Operations

Abstract:

At present, most factories choose cutting parameters only depending on experience or handbooks in production. To improve the intelligent level of cutting parameter selection, Case-Based Reasoning (CBR) is used to search rational cutting parameters. The structure of a CBR-based cutting parameter selection system is presented and its functional modules are discussed. CBR-based cutting parameter selection system is mainly composed of case base management system, cutting parameter database management system, application, interface, etc. A complete case is composed of four parts, i.e., objectives, initial conditions, constraints and results. The system adopts hierarchical searching method in combination with nearest neighbor method. It provides a scientific approach for selecting cutting parameters in actual production.