REVIEW ARTICLE
An Intelligent Tool Selection System Based on CRB and RBR
Rui Wang, Wu Zhao*, Cunjing Luo, Zhiyong Wang, Tao Luo
Article Information
Identifiers and Pagination:
Year: 2014Volume: 8
First Page: 795
Last Page: 802
Publisher Id: TOMEJ-8-795
DOI: 10.2174/1874155X01408010795
Article History:
Received Date: 08/01/2015Revision Received Date: 15/01/2015
Acceptance Date: 16/01/2015
Electronic publication date: 31/12/2014
Collection year: 2014
open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: (https://creativecommons.org/licenses/by/4.0/legalcode). This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Abstract
The manufacturing industries dealing with machining and tools' manufacturing generate a large amount of data concerning the machining process. However, in most cases, this information is not used efficiently as there is no system dedicated for storing and manipulating such data. In order to use these data to improve the efficiency and increase the benefit of machining, the cutting database system is built for these manufacturing enterprises, which can provide rational cutting parameters and tool solutions. JAVA and MYSQL are used as the base of database management system, combining XML and JavaScript technology. The intelligent tool selection model was designed, and the functions of basic information management and query were realized. It was concluded that it can commend reasonable cutting parameters and tool solutions according to machining condition input.
