Optimization of Aluminium Die Casting Process Using Artificial Neural Network
نویسنده
چکیده
In the present paper, optimization of process parameters of an aluminium die casting operation is discussed. The quality problem encountered during the manufacturing of a die casted component was porosity and the potential factors causing it are identified through causeeffect analysis. An analysis of variance (ANOVA) is conducted to find the factors with significant effects on porosity. The pressure of the plunger used in the die casting machine and temperature of the liquid aluminium are identified as significant factors after the analysis. Then a back propagation Artificial Neural Network (ANN) is modelled and trained with these process parameters and porosity in order to predict or control the output by optimizing input process parameters. Keywords— Die casting, ANOVA, ANN, Optimization,
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