• CN: 11-2187/TH
  • ISSN: 0577-6686

Journal of Mechanical Engineering ›› 2018, Vol. 54 ›› Issue (19): 158-169.doi: 10.3901/JME.2018.19.158

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Multi-granularity Dynamic Model Establishment and Simulation of Carbon Emissions for Machining Process Based on DEVS

ZHU Shuo1, ZHANG Hua1, JIANG Zhigang1, CAO Huajun2   

  1. 1. School of Machinery and Automation, Wuhan University of Science and Technology, Wuhan 430081;
    2. State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400044
  • Received:2017-10-18 Revised:2018-03-22 Online:2018-10-05 Published:2018-10-05

Abstract: The carbon emissions analysis on machining process is the base of the development, innovation and application on Low Carbon Manufacturing (LCM) technology. According to the characteristic of discreteness and dynamism during manufacturing, as well as the highly nonlinear features on processing equipment, meanwhile, for the purpose of fully reflect the carbon emissions variation when various external and internal events occurs under the multiple equipment and processes circumstances. A method for multi-granularity dynamic model establishment and simulation of carbon emissions on machining process based on Discrete Event System Specification (DEVS) is proposed. Based on comprehensive analysis of the hierarchical structure and carbon emissions characteristic of machining process, multi-granularity carbon emissions analysis models on process chain level, workstation level, and machine level are established by employing the hierarchical modeling structure of DEVS associate with the running mechanism and scheduling rules. The model is applied to a tailstock spindle machining process. The DEVS simulation models on each level are designed by using CD++Builder plug-in based on Eclipse. The corresponding simulation program is developed to verify the effectiveness of proposed method. The results show that the method is suitable to establish the standardized and formalized carbon emissions model of machining process. And the model can provide real-time dynamic analysis and prediction of carbon emissions during manufacturing, and quantitative evaluate low carbon processing unit, which has significance in practice.

Key words: carbon emissions, discrete event system specification, low carbon manufacturing, multi-granular modeling, real-time dynamic

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