Published January 30, 2023 | Version CC BY-NC-ND 4.0
Journal article Open

Multi Wear Response Optimization of Ti-6Al-7Nb Biomedical Alloy

Creators

  • 1. Department of Mechanical Engineering, Rajeev Gandhi Memorial College of Engineering and Technology, Nandyal (A.P), India.
  • 2. Research Scholar, Jawaharlal Nehru Technological University Anantapur, Anantapur (A.P), India.

Contributors

Contact person:

  • 1. Department of Mechanical Engineering, Rajeev Gandhi Memorial College of Engineering and Technology, Nandyal (A.P), India.

Description

Abstract: Titanium-Niobium (Ti-Nb) based alloys are predominantly used as an implant material within the Bio-medical field due to their unique characteristics such as non-toxicity, better Osseo-integration, high resistance to corrosion, high strength to weight quantitative relation and biocompatibility. This paper proposes to optimize the control parameters for multi-response optimization of Ti-6Al-7Nb bio-medical alloy based Grey Relational Analysis combined with the Taguchi approach. Wear rate (WR), coefficient of friction (COF), and frictional force were the response characteristics studied (FF). The Taguchi methodology is used in conjunction with the grey interpersonal evaluation as a performance index to determine the best set of control parameters. Applied Load, Rotational Speed, and Time were the control parameters evaluated. Experimentations are designed using L9 Taguchi's orthogonal array and carried out on a pin-on-disc setup in agreement by ASTM G99. The experimental outcomes display that the applied load has the greatest impact on the Ti-6Al-7Nb bio-medical alloy's various wear characteristics. This approach has been successfully rummage-sale to recover the wear response of Ti-6Al-7Nb bio-medical alloy.

Notes

Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP) © Copyright: All rights reserved.

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Journal article: 2278-3075 (ISSN)

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ISSN: 2277-3878 (Online)
https://portal.issn.org/resource/ISSN/2277-3878
Retrieval Number: 100.1/ijitee.B94090112223
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Journal Website: www.ijitee.org
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Publisher: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP)
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