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A Boundary Auto-Location Algorithm for the Prediction of Milling Stability Lobe Diagram

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Intelligent Robotics and Applications (ICIRA 2018)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10984))

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Abstract

Chatter is known as a main factor that limits the machining quality and efficiency, and one universal solution is to predict occurrences of chatter via calculating the stability lobe diagram (SLD), such as time-domain methods, which are relatively time-consuming. Thus, based on time-domain methods, a boundary auto-location algorithm for the prediction of SLD in milling is proposed. In the proposed method, by setting a series of judgements based on the state of the transition matrix of the dynamic system, the calculation trajectory automatically surrounds the stability boundary line except isolated islands. Only the points on and around the stability boundary were calculated to draw SLD. The contrast simulations were conducted to verify the calculation efficiency of the given algorithm. And the results show that the computational time of the proposed method was cut down significantly than that of the traditional method.

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Acknowledgements

This research is supported by National Natural Science Foundation of China under Grant no. 51625502, Innovation Group of Hubei under Grant no. 2017CFA003. Natural Science Foundation of Jiangsu under Grant no. BK20161473.

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Authors and Affiliations

  1. School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, 430074, China

    Mingkai Zhang, Xiaowei Tang, Rong Yan, Chen Chen, Yuting Li & Haohao Zeng

  2. State Key Lab of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China

    Fangyu Peng

Authors
  1. Mingkai Zhang
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  2. Xiaowei Tang
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  3. Rong Yan
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  4. Fangyu Peng
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  5. Chen Chen
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  6. Yuting Li
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  7. Haohao Zeng
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Corresponding author

Correspondence to Rong Yan .

Editor information

Editors and Affiliations

  1. University of Newcastle, Callaghan, New South Wales, Australia

    Zhiyong Chen

  2. University of Newcastle, Callaghan, New South Wales, Australia

    Alexandre Mendes

  3. University of Newcastle, Callaghan, New South Wales, Australia

    Yamin Yan

  4. Shenzhen Institutes of Advanced Technology, Shenzhen, China

    Shifeng Chen

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Zhang, M. et al. (2018). A Boundary Auto-Location Algorithm for the Prediction of Milling Stability Lobe Diagram. In: Chen, Z., Mendes, A., Yan, Y., Chen, S. (eds) Intelligent Robotics and Applications. ICIRA 2018. Lecture Notes in Computer Science(), vol 10984. Springer, Cham. https://doi.org/10.1007/978-3-319-97586-3_27

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  • DOI: https://doi.org/10.1007/978-3-319-97586-3_27

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-97585-6

  • Online ISBN: 978-3-319-97586-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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