Modelling and multi objective optimization of LM13 aluminium alloy squeeze cast process parameters using taguchi and genetic algorithm

This present investigation deals with squeeze casting process in order to produce a component with good mechanical properties such as micro-hardness(VH), tensile strength(Rm), and density(ρ) on LM13 by varying squeeze pressure(P), molten temperature(Tm) and die temperature(Td). Taguchi experimental design L9 orthogonal array was used to determine the signal to noise ratio. The results specified that the squeeze pressure and die preheat temperature are the most influencing parameters for mechanical properties improvement. Genetic algorithm (GA) has been applied to optimize the casting parameters that simultaneously maximize the responses.