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- Title
ESTIMATION OF HEAT TRANSFER COEFFICIENT IN PERMANENT MOLD CASTING USING ARTIFICIAL NEURAL NETWORKS.
- Authors
Susac, Florin; Teodor, Virgil Gabriel; Ganea, Daniel
- Abstract
Dimensional accuracy of the cast parts strongly depends on cooling history which is mainly related with casting parameters. Cooling history refers also to heat transfer coefficient through cast/mold interface. This is a very difficult task for researchers to deal with, considering the difficulty in estimating and controlling the heat quantity which crosses the interface and mold wall going to ambient. The paper presents the estimation of heat transfer coefficient evolution during solidification of a hollow cylinder cast part. Artificial neural networks are very useful and reliable tools in prediction and estimation of casting parameters. Even if there are many previous relevant studies concerning the heat transfer coefficient determination at the cast/mold interface, researchers still deal with many uncertainties related to application of numerical developed models to a variety of dimensions and geometry.
- Subjects
PERMANENT mold casting; HEAT transfer coefficient; ARTIFICIAL neural networks; ESTIMATION theory; SOLIDIFICATION
- Publication
TEHNOMUS, 2017, p178
- ISSN
1224-029X
- Publication type
Article