Research on the Characteristics and Methodology for Predicting Energy Efficiency during the Service Process of Machine Tools

doi:10.3901/JME.2019.17.172

Abstract

Abstract: The machine tools are numerous and are used in a wide range of applications in industry, the total amount of energy consumption by machine tools is extremely high, and the environmental problem caused by the energy consumption is more and more serious. For the reasons mentioned above, the researches on how to promote energy efficiency of machine tools have become the focus of many organizations and universities. In this paper, the running characteristics of energy consumption components are studied systematically based on the analysis of the energy consumption characteristics of each stage in manufacturing process, then the characteristics and method for predicting energy consumption in in each manufacturing process are studied based on the mechanism of energy consumption. Finally, the method for predicting energy efficiency during the service process of machine tools is presented. The experimental results indicate that the accuracy of this method can reach over 90%, and the feasibility and accuracy of the method is verified by the experimental results. The research is capable of providing method support for the research on energy efficiency promoting and have broad application prospect.

Key words: machine tools, energy efficiency, predictable characteristic, prediction method

CLC Number:

XIE Jun, LIU Fei, CAI Wei. Research on the Characteristics and Methodology for Predicting Energy Efficiency during the Service Process of Machine Tools[J]. Journal of Mechanical Engineering, 2019, 55(17): 172-184.

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