CBR-Based cutting parameter selection system and searching algorithm for metal machining operations

被引：1

作者：

Cao, Yan ^{[1
]}

Cao, Sen ^{[2
]}

Bai, Yu ^{[1
]}

Yang, Xiao Fei ^{[1
]}

机构：

[1] School of Mechatronic Engineering, Xi'an Technological University, Xi'an, Shaanxi

[2] School of Accounting, Shandong Vocational College of Economics and Business, Weifang, Shandong

来源：

Advanced Materials Research | 2013年 / 710卷

关键词：

Case base; Case-based reasoning; Cutting parameter; Metal machining; Searching algorithm;

D O I：

10.4028/www.scientific.net/AMR.710.554

中图分类号：

学科分类号：

摘要：

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. © (2013) Trans Tech Publications, Switzerland.

引用

页码：554 / 557

页数：3