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Shared and service-oriented CNC machining system for intelligent manufacturing process

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Abstract

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. In this paper, a machining database with data evaluation module is set up to ensure integrity and update. An online monitoring system based on internet of things and multi-sensors “feel” a variety of signal features to “percept” the state in CNC machining process. A high efficiency and green machining parameters optimization system “execute” service-oriented manufacturing, intelligent manufacturing and green manufacturing. The intelligent CNC machining system is applied in production. CNC machining database effectively shares and manages process data among different systems. The prediction accuracy of online monitoring system is up to 98.8% by acquiring acceleration and noise in real time. High efficiency and green machining parameters optimization system optimizes the original processing parameters, and the calculation indicates that optimized processing parameters not only improve production efficiency, but also reduce carbon emissions. The application proves that the shared and service-oriented CNC machining system is reliable and effective. This research presents a shared and service-oriented CNC machining system for intelligent manufacturing process.

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Author information

Authors and Affiliations

  1. School of Mechanical Engineering, Beihang University, Beijing, 100191, China

    Yao Li, Qiang Liu, Ronglei Tong & Xiaohong Cui

  2. Beijing Engineering Technological Research Center of High-efficient & Green CNC Machining Process and Equipment, Beihang University, Beijing, 100191, China

    Yao Li, Qiang Liu, Ronglei Tong & Xiaohong Cui

Authors
  1. Yao Li
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  2. Qiang Liu
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  3. Ronglei Tong
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  4. Xiaohong Cui
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Corresponding author

Correspondence to Qiang Liu.

Additional information

Supported by National Defense Basic Scientific Research of China (Grant No. A2120110002), National Science Foundation of China (Grant No. 11290144), and Major National Science and Technology Special Project of China (Grant Nos. 2010ZX04014-052, 2010ZX0414-017)

LI Yao, born in 1987, is currently a PhD candidate at Beijing Engineering Technological Research Center of High-efficient & Green CNC Machining Process and Equipment, Beihang University, China. His research interests include virtual manufacturing technology, service-oriented and high-efficient and green manufacturing

LIU Qiang, born in 1963, is currently a professor at Beihang University, China. His research interests include simulation and optimization of CNC milling process, high performance servo motor digital control technology, network manufacturing.

TONG Ronglei, born in 1989, is currently a master candidate at Beijing Engineering Technological Research Center of High-efficient & Green CNC Machining Process and Equipment, Beihang University, China. His research interests include vibration signals collection and analysis.

CUI Xiaohong, born in 1987, is currently a master candidate at Beijing Engineering Technological Research Center of High-efficient & Green CNC Machining Process and Equipment, Beihang University, China. His research interests include cutting parameters evaluation.

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Li, Y., Liu, Q., Tong, R. et al. Shared and service-oriented CNC machining system for intelligent manufacturing process. Chin. J. Mech. Eng. 28, 1100–1108 (2015). https://doi.org/10.3901/CJME.2015.1010.119

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  • DOI: https://doi.org/10.3901/CJME.2015.1010.119

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