Effect of Casting Parameters on the Impact Energy of Aluminium Alloy Components
Keywords:
Multiple linear regression, Taguchi design, Design of Experiment, Genetic Algorithm and Sand castingAbstract
Sand casting is the most widely used metal casting process in manufacturing. Several metallic components have the tendency to be sand cast. Taguchi Orthogonal array is used to develop a layout for the sand casting experiment applied in this study. Multiple linear Regression technique is used to develop models for the impact energy responses. The mathematical model developed by the multiple linear regression technique was adequate with a statistical adjusted R2 value of 89.59%. The mathematical model generated is inputted into the Genetic algorithm tool box which yielded optimal levels for the process parameters. The results of optimization from the Genetic algorithm showed that the pouring rate, pouring temperature and runner size are 5.0cm/s,759.99oC and 231.38mm2 respectively. An impact energy fitness value of 45.41 Joules is determined from the experimental study. Validation test conducted shows that the values obtained from the actual experiment are similar to that yielded by the predictive models.
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