Abstract
In this research work, an approach based on a Utility theory and Taguchi quality loss function (TQLF) has been applied to low-pressure cold spray (LPCS) process to deposit copper coatings, for simultaneous optimization of two potential response parameters i.e. coating thickness (CT) and surface roughness (SR). Utility values based upon these response parameters have been analyzed for optimization by using Taguchi approach. The selected input parameters of powder feeding arrangement, air stagnation pressure, air stagnation temperature and stand-off distance except substrate material, significantly improves the Utility function (raw data and S/N ratio) comprising of quality characteristics (coating thickness and surface roughness). The percentage contribution of the parameters to achieve a higher value of utility function is: stand-off distance (55.86%), air stagnation temperature (16.58%), air stagnation pressure (14.20%), powder feeding arrangement (5.12%) and substrate material (0.16%) respectively.
