Modelling of porosity defects in high pressure die casting with a neural network
Khan, Imad M., Frayman, Yakov and Nahavandi, Saeid 2003, Modelling of porosity defects in high pressure die casting with a neural network, in InTech'03 : Proceedings of the Fourth International Conference on Intelligent Technologies 2003, Chiang Mai University, Institute for Science and Technology Research and Development, Chiang Mai, Thailand, pp. 1-6.
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High Pressure Die Casting (HPDC) is a complex process that results in casting defects if configured improperly. However, finding out the optimal configuration is a non-trivial task as eliminating one of the casting defects (for example, porosity) can result in occurrence of other casting defects. The industry generally tries to eliminate the defects by trial and error which is an expensive and error -prone process. This paper aims to improve current modelling and understanding of defects formation in HPDC machines. We have conducted conventional die casting tests with a neural network model of HPDC machine and compared the obtained results with the current understanding of formation of porosity. While most of our findings correspond well to established knowledge in the field, some of our findings are in conflict with the previous studies of die casting.
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Field of Research
091499 Resources Engineering and Extractive Metallurgy not elsewhere classified
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