Multi Wear Response Optimization of Ti-6Al-7Nb Biomedical Alloy
Syed Altaf Hussain1, Upendra Rajak2, Subhahan Basha C3

1Syed Altaf Hussain, Department of Mechanical Engineering, Rajeev Gandhi Memorial College of Engineering and Technology, Nandyal (A.P), India.
2Uprendra Rajak, Department of Mechanical Engineering, Rajeev Gandhi Memorial College of Engineering and Technology, Nandyal (A.P), India.
3Subhahan Basha C, Research Scholar, Jawaharlal Nehru Technological University Anantapur, Anantapur (A.P), India.
Manuscript received on 27 December 2022 | Revised Manuscript received on 07 January 2023 | Manuscript Accepted on 15 January 2023 | Manuscript published on 30 January 2023 | PP: 19-25 | Volume-12 Issue-2, January 2023 | Retrieval Number: 100.1/ijitee.B94090112223 | DOI: 10.35940/ijitee.B9409.0112223

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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.
Keywords: Bio-Medical Alloy, Pin-On-Disc, Grey Interpersonal, Optimization and Taguchi Method
Scope of the Article: Biomedical Computing