Publication

Abstract : This study focuses on experimental and statistical analysis to explore the influence of wear parameters and its optimization for TiCrN thin film deposited tool steel under dry sliding conditions. In this order, nine tribological experiments were performed on the TiCrN deposited tool steel against the SAPH370 steel counterbody. Taguchi L9 orthogonal array was applied to design the experimental setup. There was a total of three wear parameters chosen to perform the tribo-experiment and the parameters are applied load (ranges 10-20 N), sliding velocity (ranges from 0.05 m/s to 0.15 m/s), sliding distance (ranges from 500 m to 1500 m). These wear parameters were evaluated using three different wear characteristics of the TiCrN thin film namely: friction coefficient, mass loss of disc, and hardness of the worn surface. ANOVA was also performed to analyze the significant effect and contributions of the wear parameters on the wear characteristics. However, the wear parameter was optimized using the multicriteria decision-making (MCDM) method which includes entropy, best-worst method (BWM), and TODIM (Tomada de Decisao Interativa Multicriterio) method. Entropy and BWM methods were used to determine the compromised criteria weight while TODIM was used to rank the alternative (sets of wear parameters) based on their dominance score. The stability and robustness of the ranking method were examined using sensitivity analysis. Finally, the linear and nonlinear mathematical model was also developed and compared based on the value of R2.