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Modelling of porosity defects in high pressure die casting with a neural network

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conference contribution
posted on 2003-01-01, 00:00 authored by I Khan, Yakov Frayman, Saeid Nahavandi
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.

History

Title of proceedings

InTech'03 : Proceedings of the Fourth International Conference on Intelligent Technologies 2003

Event

International Conference on Intelligent Technologies (4th : 2003, Thailand)

Pagination

1 - 6

Publisher

Chiang Mai University, Institute for Science and Technology Research and Development

Location

Chiang Mai Plaza, Thailand

Place of publication

Chiang Mai, Thailand

Start date

2003-12-17

End date

2003-12-19

ISBN-13

9789746581516

ISBN-10

9746581511

Language

eng

Notes

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Publication classification

E1 Full written paper - refereed

Editor/Contributor(s)

S Dhompongsa

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