ANALYTICAL INVESTIGATING DIE CASTING PROCESS PARAMETERS TO IDENTIFY THE OPTIMIZED LEVELS USING TAGUCHI METHODS FOR DESIGN OF EXPERIMENT (DOE)

B. Anusha, G.N.S.R.K. Kumar

Abstract


As population increases with the increasing in demand for producing the plastic products in different and sizes with high precision. A case study on plastic electrical switch box is considered to investigate on producing best quality of products to satisfy the demands from the customers. In this thesis, the focus on the optimization of process parameters (temperature, pressure, time) is carried out for injection moulding machine. Quality of characteristic (shrinkage) of the injection moulding product is made by polycarbonate material is calculated by using minitab software for the data obtained. Comparison of the experimental data and analytical results show that there is no significant difference in artificial neural network, and taguchi method was used confidently. An analytical approach is (cfd) discussed by using ansys software and the model of component design, cooling profile, assembling, runner and gate location is done in 3d modelling software creo.


Keywords


Die Casting; Injection Moulding; Shrinkage; Thaguchi; Ansys;

References


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