Paper
9 August 2024 A UML based CPS modelling for intelligent manufacturing application by the case of cylinder head deburring process
Jing Wu, Xie Yong, Xiaoguang Ma, Haotian Zhang, Shuai Li, Jianqing Wu
Author Affiliations +
Proceedings Volume 13220, Third International Conference on Mechatronics and Mechanical Engineering (ICMME 2024); 1322011 (2024) https://doi.org/10.1117/12.3039408
Event: International Conference on Mechatronics and Mechanical Engineering (ICMME 2024), 2024, Xi'an, China
Abstract
Intelligent manufacturing refers to the use of advanced information technology and modern manufacturing technology to carry out comprehensive intelligent and automated transformation of the whole process and all links of manufacturing and production, as well as to achieve efficient manufacturing production and service-oriented operation and enhance the competitiveness of the entire industry. In the field of intelligent manufacturing, this paper researches on the application of intelligent manufacturing modelling based on cyber-physical system, which takes the auto industry as the background, selects the engine cylinder head deburring production case in the intelligent equipment system from its manufacturing architecture. After analysis of the cyber-physical system, then use UML (unified modeling language) class diagram mode to model the deburring process, and complete the equipment case construction corresponding to the mode, analyze the results and draw relevant conclusions and application to build the actual system in the architecture in component parts selection and factory pipeline design.
© (2024) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jing Wu, Xie Yong, Xiaoguang Ma, Haotian Zhang, Shuai Li, and Jianqing Wu "A UML based CPS modelling for intelligent manufacturing application by the case of cylinder head deburring process", Proc. SPIE 13220, Third International Conference on Mechatronics and Mechanical Engineering (ICMME 2024), 1322011 (9 August 2024); https://doi.org/10.1117/12.3039408
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KEYWORDS
Head

Manufacturing

Modeling

Systems modeling

Intelligence systems

Robots

Design

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