Abstract
The solidification of cast part remains a process of excellent interest. It immediately impacts the production rate, casting defects, and mechanical property of casting. The phenomenon of solidification of cast part is complicated in foundry industry as well as the modeling and simulation needed in industry in advance than it is far in reality undertaken. This research specializes in the impact of casting method parameters of Al6082 MMC. Modeling and simulation examine the casting solidification time in the foundry in gravity die casting technique. The design of experiment is done with the help of full factorial design (FFD). The casting technique parameters are pouring temperature, pouring rate, and die preheat temperature (DHT) on solidification time that has been studied. This paper explains the optimization of casting method parameters using genetic algorithms. It also gives the information about the generation of optimization models, simulation, and methodology used and obtains the optimum process parameters. The predicted trials have been used to comparatively compare with simulation and experimental results, and the simulated comparison results are observed in a proper way.
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Pal, H., Kasdekar, D.K., Agrawal, S. (2019). Modeling and Simulation of Al6082 MMC of Gravity Die Casting for Solidification Time. In: Hu, YC., Tiwari, S., Mishra, K., Trivedi, M. (eds) Ambient Communications and Computer Systems. Advances in Intelligent Systems and Computing, vol 904. Springer, Singapore. https://doi.org/10.1007/978-981-13-5934-7_13
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DOI: https://doi.org/10.1007/978-981-13-5934-7_13
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