IDEAS home Printed from https://ideas.repec.org/a/wsi/srlxxx/v30y2023i01ns0218625x21410055.html
   My bibliography  Save this article

Experimental Investigation And Parametric Optimization Of Neurosurgical Bone Grinding Under Bio-Mimic Environment

Author

Listed:
  • ATUL BABBAR

    (Mechanical Engineering Department, Shree Guru Gobind Singh Tricentenary University, Gurugram 122505, Haryana, India†Mechanical Engineering Department, Thapar Institute of Engineering and Technology, Patiala 147003, Punjab, India)

  • VIVEK JAIN

    (��Mechanical Engineering Department, Thapar Institute of Engineering and Technology, Patiala 147003, Punjab, India)

  • DHEERAJ GUPTA

    (��Mechanical Engineering Department, Thapar Institute of Engineering and Technology, Patiala 147003, Punjab, India)

  • CHANDER PRAKASH

    (��School of Mechanical Engineering, Lovely Professional University, Phagwara, Punjab 144411, India)

Abstract

Bone grinding is a craniotomy procedure which is used to remove a bone flap from the skull to expose and create an access for the dissection of tumors. In this study, a computer-controlled neurosurgical bone grinding has been used to explore the effect of various neurosurgical bone grinding parameters, such as cutting forces, torque, grinding force ratio, and temperature generated during bone grinding have been investigated. Bone samples after grinding have been assessed for morphological analysis. Based on the outcomes, a multi-attribute decision-making methodology based on grey relational analysis has been adopted. Regression models have been developed and then validated to ensure the adequacy of the developed models. Subsequently, a comparative analysis of experimental and predicted results have been presented. It is revealed that grinding forces and torque decreased with the escalation of rotational speed from 35,000 revolutions per minute (rpm) to 55,000rpm. The optimum combination of process parameters found as rotational speed of 55,000rpm, feed rate of 20mm/min, and depth of cut of 0.50mm.

Suggested Citation

  • Atul Babbar & Vivek Jain & Dheeraj Gupta & Chander Prakash, 2023. "Experimental Investigation And Parametric Optimization Of Neurosurgical Bone Grinding Under Bio-Mimic Environment," Surface Review and Letters (SRL), World Scientific Publishing Co. Pte. Ltd., vol. 30(01), pages 1-13, January.
    • Handle: RePEc:wsi:srlxxx:v:30:y:2023:i:01:n:s0218625x21410055
    DOI: 10.1142/S0218625X21410055
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S0218625X21410055
    Download Restriction: Access to full text is restricted to subscribers
    File URL: https://libkey.io/10.1142/S0218625X21410055?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:wsi:srlxxx:v:30:y:2023:i:01:n:s0218625x21410055. 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: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscinet.com/srl/srl.shtml .

    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.