posted on 2003-01-01, 00:00authored byI 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
Pagination
1 - 6
Location
Chiang Mai Plaza, Thailand
Open access
Yes
Start date
2003-12-17
End date
2003-12-19
ISBN-13
9789746581516
ISBN-10
9746581511
Language
eng
Notes
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