frayman-modellingof-2003.pdf (465.83 kB)
Modelling of porosity defects in high pressure die casting with a neural network
conference contribution
posted on 2003-01-01, 00:00 authored by I Khan, Yakov Frayman, Saeid NahavandiHigh 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.
History
Title of proceedings
InTech'03 : Proceedings of the Fourth International Conference on Intelligent Technologies 2003Event
International Conference on Intelligent Technologies (4th : 2003, Thailand)Pagination
1 - 6Publisher
Chiang Mai University, Institute for Science and Technology Research and DevelopmentLocation
Chiang Mai Plaza, ThailandPlace of publication
Chiang Mai, ThailandStart date
2003-12-17End date
2003-12-19ISBN-13
9789746581516ISBN-10
9746581511Language
engNotes
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