Tribological Performance Optimization of Electroless Ni-P-W Coating Using Weighted Principal Component Analysis

• Main Authors: S. Roy, P. Sahoo
• Format: Article
• Language: English
• Published: University of Kragujevac 2013-12-01
• Series: Tribology in Industry
• Subjects: WPCA; Friction; Wear; Ni-P-W; Optimization
• Online Access: http://www.tribology.fink.rs/journals/2013/2013-4/6.pdf
• ISSN: 0354-8996; 2217-7965

The present investigation is an experimental approach to deposit electroless Ni-P-W coating on mild steel substrate and find out the optimum combination of various tribological performances on the basis of minimum friction and wear, using weighted principal component analysis (WPCA). In this study three main tribological parameters are chosen viz. load (A), speed (B) and time(C). The responses are coefficient of friction and wear depth. Here Weighted Principal Component Analysis (WPCA) method is adopted to convert the multi-responses into single performance index called multiple performance index (MPI) and Taguchi L27 orthogonal array is used to design the experiment and to find the optimum combination of tribological parameters for minimum coefficient of friction and wear depth. ANOVA is performed to find the significance of the each tribological process parameters and their interactions. The EDX analysis, SEM and XRD are performed to study the composition and structural aspects.