Multi-response optimization of low-pressure cold-sprayed coatings through Taguchi method and utility concept

Cold spray process is a relatively new coating deposition thermal spray process, and a lot of research is being carried out throughout the world towards the optimization of the process with an aim towards the performance improvement of the process. For optimization of process parameters, most of the existing approaches for multi-response optimization of process parameters focus upon the subjective and practical knowledge available about the process. Keeping in view these limitations, an approach based on a utility theory and Taguchi quality loss function has been applied to low-pressure cold spray process to deposit copper coatings, for simultaneous optimization of more than one response characteristics. In the present paper, three potential response parameters, i.e., coating thickness, coating density, and surface roughness have been selected. Utility values based upon these response parameters have been analyzed for optimization by using Taguchi approach.