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A thermo-mechanical machining method for improving the accuracy and stability of the geometric shape of long low-rigidity shafts

Author

Listed:
  • Antoni Świć

    (Lublin University of Technology)

  • Arkadiusz Gola

    (Lublin University of Technology)

  • Łukasz Sobaszek

    (Lublin University of Technology)

  • Natalia Šmidová

    (Technical University of Kosice)

Abstract

The article presents a new thermo-mechanical machining method for the manufacture of long low-rigidity shafts which combines straightening and heat treatment operations. A fixture for thermo-mechanical treatment of long low-rigidity shafts was designed and used in tests which involved axial straightening of shafts combined with a quenching operation (performed to increase the corrosion resistance of the steel used as stock material). The study showed that an analysis of the initial deflections of semi-finished shafts of different dimensions and determination of the maximum corrective deflection in the device could be used as a basis for performing axial straightening of shaft workpieces with simultaneous heat treatment and correction of the initial deflection of the workpiece. The deflection is corrected by stretching the fibers of the stock material, at any cross-section of the shaft, up to the yield point and generating residual stresses symmetrical to the axis of the workpiece. These processes allow to increase the accuracy and stability of the geometric shape of the shaft.

Suggested Citation

  • Antoni Świć & Arkadiusz Gola & Łukasz Sobaszek & Natalia Šmidová, 2021. "A thermo-mechanical machining method for improving the accuracy and stability of the geometric shape of long low-rigidity shafts," Journal of Intelligent Manufacturing, Springer, vol. 32(7), pages 1939-1951, October.
    • Handle: RePEc:spr:joinma:v:32:y:2021:i:7:d:10.1007_s10845-020-01733-4
    DOI: 10.1007/s10845-020-01733-4
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    References listed on IDEAS

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    1. Yingxin Ye & Tianliang Hu & Yan Yang & Wendan Zhu & Chengrui Zhang, 2020. "A knowledge based intelligent process planning method for controller of computer numerical control machine tools," Journal of Intelligent Manufacturing, Springer, vol. 31(7), pages 1751-1767, October.
    2. Ziling Zhang & Ligang Cai & Qiang Cheng & Zhifeng Liu & Peihua Gu, 2019. "A geometric error budget method to improve machining accuracy reliability of multi-axis machine tools," Journal of Intelligent Manufacturing, Springer, vol. 30(2), pages 495-519, February.
    3. Yang-Xin Wang & Zhou Yang & Jian-Wei Dai & Xiu-Ming Zhao & Xiang-Yang Mao, 2019. "Research On Surface Strengthening Induced By Ultrasonic Punching To Improve Mechanical Properties And Corrosion Resistance For Shaft Parts," Surface Review and Letters (SRL), World Scientific Publishing Co. Pte. Ltd., vol. 27(01), pages 1-7, April.
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    Cited by:

    1. Mengrui Zhu & Yun Yang & Xiaobing Feng & Zhengchun Du & Jianguo Yang, 2023. "Robust modeling method for thermal error of CNC machine tools based on random forest algorithm," Journal of Intelligent Manufacturing, Springer, vol. 34(4), pages 2013-2026, April.

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