Optimization of wear behavior of heat-treated Ti-6Al-7Nb biomedical alloy by response surface methodology

• Published in: Environmental research 2023-08, Vol.231 (Pt 2), p.116193-116193, Article 116193
• Main Authors: Hussain, Syed Altaf, Panchal, Manoj, Allamraju, K Viswanath, Rajak, Upendra, Verma, Tikendra Nath, Brindhadevi, Kathirvel
• Format: Article
• Language: English
• Subjects: ANOVA; Grey relational analysis; Optimization; Taguchi; Titanium alloy; Wear resistance
• ISSN: 0013-9351; 1096-0953
• DOI: 10.1016/j.envres.2023.116193

Titanium-based metals are used most often in biomedical implant studies because they have good qualities like being biocompatible, not being poisonous, Osseo-integration, high specific properties, wear resistance, etc. The main goal of this work is to improve the wear resistance of Ti–6Al–7Nb biomedical metal by using a mix of Taguchi, ANOVA, and Grey Relational Analysis. The effect of changeable control process factors like applied load, spinning speed, and time on wear reaction measures like wear rate (WR), coefficient of friction (COF), and frictional force. The optimal combinations of wear rate, COF, and frictional force minimise wear characteristics. The L9 Taguchi orthogonal array was used to plan the experiments, which were done on a pin-on-disc set-up according to ASTM G99. To find the best set of control factors, Taguchi, ANOVA, and Grey relationship analysis were used. The results show that a load of 30 N, a speed of 700 rpm, and a time of 10 min are the best control settings. •Titanium-based metals are used most often in biomedical implant studies.•Values in training and testing were very close to Taguchi experiments and ANOVA, analysis.•Optimal combinations of wear rate, COF, and frictional force minimise wear characteristics.•Grey algorithm improved bio functionality of the Ti–6Al–7Nb implant.