Design and Analysis of Shape Memory Alloys using Optimization Techniques

ABSTRACT

Dry sliding wear tests on Cu-Al-Mn Shape Memory Alloys (SMAs) were performed in this study. The alloy was synthesised with the amount of manganese content varied as 5, 7, and 9 wt.% and the amount of aluminium was kept constant at 10.5 wt.% with the remaining copper. Dry sliding wear tests were carried out at different conditions of sliding speeds, sliding distances, and various load conditions. Experiments were carried out using Taguchi’s technique to obtain an experimental design. The data were analysed using an L₂₇ orthogonal array. The wear rate (WR) and coefficient of friction (COF) were evaluated using the ‘smaller is better’ method approach. The main parameters affecting WR and COF were determined using ANOVA. The effects of applied load, sliding speed, sliding distance, and material on WR and COF are determined. The optimum combinations of parameters were set to achieve the lowest wear rate and highest COF. Finally, confirmation tests were conducted to ensure that the experimental results were accurate. After the wear test, the sample texture was observed and analysed using a Scanning Electron Microscope (SEM).

KEYWORDS:

• Cu-Al-Mn SMAs
• Wear rate
• Coefficient of friction
• Taguchi method
• ANOVA
• Regression analysis

Disclosure statement

No potential conflict of interest was reported by the authors.