IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/6672513.html
   My bibliography  Save this article

Stability of Milling Process with Variable Spindle Speed Using Runge–Kutta-Based Complete Method

Author

Listed:
  • Shujie Lv
  • Yang Zhao

Abstract

The variable-spindle-speed (VSS) technique is effective in preventing regenerative chatter in milling processes. However, spindle-speed-modulation parameters should be deliberately selected to augment the material removal rate. Stability-prediction algorithms of stability predicting play an important role in this respect, as they allow the prediction of stability for all ranges of a given spindle speed. The increase in calculation time in variable-spindle-speed milling, which is caused by the modulation frequency, hinders its practical use in the workshop. In this paper, a Runge–Kutta-based complete discretization method (RKCDM) is presented to predict the stability of milling with variable spindle speeds, which is described by a set of delay differential equations (DDEs) with time-periodic coefficients and time-varying delay. The convergence and calculation efficiency are compared with those of the semidiscretization method (SDM) under different testing configurations and milling conditions. Results show that RKCDM is more accurate and saves at least 50% of the calculation time of SDM. The effects of modulation parameters on the stability of VSS milling are explored through stability lobe diagrams produced from RKCDM.

Suggested Citation

  • Shujie Lv & Yang Zhao, 2021. "Stability of Milling Process with Variable Spindle Speed Using Runge–Kutta-Based Complete Method," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-10, February.
  • Handle: RePEc:hin:jnlmpe:6672513
    DOI: 10.1155/2021/6672513
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2021/6672513.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/MPE/2021/6672513.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2021/6672513?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hin:jnlmpe:6672513. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.