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Improve K-means Algorithm for the Efficiency of NC Machining

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Application of Intelligent Systems in Multi-modal Information Analytics (MMIA 2021)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1385))

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Abstract

At present, the application of CNC machine tools has greatly improved the efficiency and quality of industrial production and manufacturing, making its products more stable and process level higher. However, in the process of CNC lathe application, the machining efficiency still needs to be improved. In order to better play the role of CNC machine tools in machining, starting from its concept and development background, this paper explores the factors affecting the machining efficiency, and puts forward the corresponding efficiency improvement methods, so as to provide some reference for the research and practice of CNC machine tool machining related fields.

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Author information

Authors and Affiliations

  1. Liaoning Electrical and Mechanical Engineering School, Dandong, 111000, Liaoning, China

    Fengshun Zhou

Authors
  1. Fengshun Zhou
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Editor information

Editors and Affiliations

  1. Decision and Information Sciences, Oakland University, Rochester, MI, USA

    Vijayan Sugumaran

  2. Shanghai University, Shanghai, China

    Zheng Xu

  3. Department of Informatics, University of Leicester, Leicester, Leicestershire, UK

    Huiyu Zhou

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© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Zhou, F. (2021). Improve K-means Algorithm for the Efficiency of NC Machining. In: Sugumaran, V., Xu, Z., Zhou, H. (eds) Application of Intelligent Systems in Multi-modal Information Analytics. MMIA 2021. Advances in Intelligent Systems and Computing, vol 1385. Springer, Cham. https://doi.org/10.1007/978-3-030-74814-2_36

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