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An Improvement of Model Analysis for Spindle Based on Finite Element Method

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Advances in Engineering Research and Application (ICERA 2018)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 63))

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Abstract

The natural frequency is a dynamic characteristic which has an importance role for the performance, accuracy and stable of a spindle as well as machine tools. In this study, modal analysis for the spindle including shaft, housing and bearing parts have been established to predict the natural frequency and mode shape by using ANSYS software. The housing that was often neglected in previous researches is included in present finite element model to improve the analyzed results. The support bearings are replaced by springs with equivalent stiffness during analysis process. The natural frequency and mode shape for different preloads are obtained. The critical speed is estimated. The results herein will provide information for engineer during developing a new design of spindle match costumer’s requirement.

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References

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Author information

Authors and Affiliations

  1. Hung Yen University of Technology and Education, Hung Yen, Vietnam

    Thi-Thao Ngo & Van-The Than

Authors
  1. Thi-Thao Ngo
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  2. Van-The Than
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Corresponding author

Correspondence to Van-The Than .

Editor information

Editors and Affiliations

  1. Faculty of Software and Information Science, Iwate Prefectural University, Takizawa, Iwate, Japan

    Hamido Fujita

  2. Faculty of Electronic Engineering, Thai Nguyen University of Technology, Thai Nguyen, Vietnam

    Duy Cuong Nguyen

  3. Faculty of Mechanical Engineering, Thai Nguyen University of Technology, Thai Nguyen, Vietnam

    Ngoc Pi Vu

  4. Hanoi University of Science and technology, Hanoi, Vietnam

    Tien Long Banh

  5. Institute for Automation and Systems Engineering, Ilmenau University of Technology (TU Ilmenau), Ilmenau, Germany

    Hermann Horst Puta

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Ngo, TT., Than, VT. (2019). An Improvement of Model Analysis for Spindle Based on Finite Element Method. In: Fujita, H., Nguyen, D., Vu, N., Banh, T., Puta, H. (eds) Advances in Engineering Research and Application. ICERA 2018. Lecture Notes in Networks and Systems, vol 63. Springer, Cham. https://doi.org/10.1007/978-3-030-04792-4_23

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  • DOI: https://doi.org/10.1007/978-3-030-04792-4_23

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-04791-7

  • Online ISBN: 978-3-030-04792-4

  • eBook Packages: EngineeringEngineering (R0)

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