Title :
Research on data-sharing and intelligent CNC machining system
Author :
Yao Li ; Qiang Liu ; Jiajun Xiong ; Jian Wang
Author_Institution :
Sch. of Mech. Eng., Beihang Univ., Beijing, China
Abstract :
Intelligent manufacturing deeply fused with information technology is the core of traditional manufacturing revolution. Facing challenges, Chinese government puts forward “China Manufacturing 2025” project. CNC machining is a general manufacturing method. To improve efficiency, reduce cost, ensure quality effectively, researchers on CNC machining have focused on virtual machine tool, cloud manufacturing, wireless manufacturing. However, low level of information shared among different systems is a common disadvantage. Intelligent CNC machining is an intelligent application orienting to equipment, production and service. It is an important aspect for network industry to transform and innovate from consumption domain to industry domain. Intelligent CNC machining system integrates traditional processing technology and information technology. A shared CNC machining database has been established to ensure machining data shared among different platforms, and it also is the bridge across data-wide gap. Combined with open and high performance CNC system, CNC machining online monitoring module, intelligent CNC machining optimization module, intelligent CNC machining efficiency simulation platform and machine tool health diagnosis platform, cyber physical system for CNC machining has been formed. Finally, a prototype system has been developed. The application proves that the data-sharing and intelligent CNC machining system is reliable and effective.
Keywords :
computerised numerical control; data handling; machining; production engineering computing; China Manufacturing 2025 project; cloud manufacturing; computerised numerical control; cyber physical system; data sharing; information technology; intelligent CNC machining system; intelligent manufacturing; machine tool health diagnosis platform; manufacturing revolution; shared CNC machining database; virtual machine tool; wireless manufacturing; Artificial intelligence; Computer numerical control; Databases; Machine tools; Machining; Manufacturing; Monitoring; CNC; data; intelligent; machining; sharing;
Conference_Titel :
Mechatronics and Automation (ICMA), 2015 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-7097-1
DOI :
10.1109/ICMA.2015.7237557