MULTIOBJECTIVE OPTIMIZATION OF ATMOSPHERIC PLASMA SPRAY PROCESS PARAMETERS TO DEPOSIT ALUMINA COATINGS BASED ON RESPONSE SURFACE METHODOLOGY
Keywords:Plasma spraying process, Optimization, Response surface methodology, Alumina coating
Like other manufacturing processes, plasma spraying also has a non-linear behavior due to contribution of many coating parameters. This characteristic makes finding optimal factor combination difficult. The principle issue confronted in the manufacture of alumina coatings by the atmospheric plasma spraying process is the selection of the optimum combination of input variables for achieving the required qualities of coating. This problem can be solved by the development of empirical relationships between the process parameters (input power, stand-off distance and powder feed rate) and the responses (porosity level and corrosion rate). This article highlights the use of response surface methodology by designing a three-factor five level central composite rotatable design matrix with full replication for planning, conduction, execution and development of empirical relationships. Further, response surface methodology (RSM) was used to find out the optimum process parameters to achieve desired quality of alumina coating deposits.
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