Multi-objective optimization of drilling parameters for orthopaedic implants
File(s)
Published version
Author(s)
Antil, Parvesh
Kumar, Sundeep
Prakash, Chander
Królczyk, Grzegorz
Pruncu, Catalin
Type
Journal Article
Abstract
Titanium (Ti) and its alloys have gained immense popularity as biomaterials in recent years.Their excellent specific strength makes them outstanding materials for orthopaedic applications. However, in the orthopaedic application it is required precise micro-drilling (i.e. implants inserts) that is very challenging for these materials.To overcome this issue, the present research proposes an experimental study corroborated with a multi-objective optimization by simulating the drilling under Electric Discharge Machining(EDM) of Ti-6Al-4V. Taguchi’s methodology based L9 orthogonal array was used for the experimental study. Voltage, current, pulse on and pulse off were used as the input parameters for the experimental investigation. In order to achieve suitable precise drilling, the material removal rate (MRR) and surface finish (SR) were used as response parameters. Here, by optimizing parameters of the precise drilling, it is possible to obtain high MRR and better surface finish,simultaneously. The Grey Relational Analysis (GRA) was adopted to analyze the output quality characteristics. The optimized results generated through the GRA are highly accurate with respect to the experimental outcomes.
Date Issued
2021-11-01
Date Acceptance
2020-07-06
Citation
Measurement and Control, 2021, 53 (9-10), pp.1902-1910
ISSN
0020-2940
Publisher
SAGE Publications (UK and US)
Start Page
1902
End Page
1910
Journal / Book Title
Measurement and Control
Volume
53
Issue
9-10
Copyright Statement
© The Author(s) 2020. Creative Commons CC BY: This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work withoutfurther permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage)
License URL
Subjects
Industrial Engineering & Automation
Publication Status
Published
Date Publish Online
2020-09-01