EXPERIMENTAL INVESTIGATION AND PARAMETRIC OPTIMIZATION OF NEUROSURGICAL BONE GRINDING UNDER BIO-MIMIC ENVIRONMENT

Atul Babbar, Vivek Jain, Dheeraj Gupta and Chander Prakash
Additional contact information
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

Surface Review and Letters (SRL), 2023, vol. 30, issue 01, 1-13

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.

Keywords: Bone grinding; forces; temperature; infrared thermography; optimization (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0218625X21410055
Access to full text is restricted to subscribers

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wsi:srlxxx:v:30:y:2023:i:01:n:s0218625x21410055

Ordering information: This journal article can be ordered from

DOI: 10.1142/S0218625X21410055

Access Statistics for this article

Surface Review and Letters (SRL) is currently edited by S Y Tong

More articles in Surface Review and Letters (SRL) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().