Multi Response Optimization of Process Parameters in Cold Chamber Pressure Die Casting

Abstract

ABSTRACT Die casting are amongst the highest volume, mass produced items manufactured by the metalwork industry, and they can be found in thousands of consumer, commercial and industrial products Aluminium alloy is light in weight, while processing high dimensional stability for complex shapes and thin walls. The objective of the study was to evaluate the main effects i.e. thermal characteristics (temperature of the molten metal), injection pressure of the molten metal, type of coating (oil coating, oil + graphite coating, dycot coating), and the type of cooling (air cooling, water cooling and oil cooling) on density of the material, hardness of the material and the surface roughness of the material. An experimental model for MRSN ratio encompassing three responses namely surface roughness, density and hardness has been employed to carry out the experimental study and subsequent analysis. ANOVA was performed for all the responses and the effect of the factors was explained with the help of main effect plots. Regression analysis was done to correlate the affect of factors with all the three responses. Micro structural analysis for all the trials was done. In the end MRSN was done to optimise the responses and regression equation was developed to predict the MRSN values.