Study of Heat Transfer Parameters in the Laminar Cooling Process for Hot-Rolled Strips

Abstract:

The laminar cooling process for the hot-rolled strip is very complex, and the identification of k related to the heat transfer is critical to improve the mathematic precision. So a study of heat transfer parameters is carried in the paper, and the proposed approach is based on the hybrid multi-intelligence technology, where the RBF neural networks, CBR have been used to obtain the parameter estimates. A number of tests using industrial data have been conducted where desired numerical results have been obtained.

• Periodical: Advanced Materials Research (Volumes 546-547)
• Pages: 154-159
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.546-547.154
• Online since: July 2012
• Authors: Jin Xiang Pian, Jing Hou, Jie Jia Li, Bin Ma
• Keywords: Case-Based Reasoning (CBR), Heat Transfer, Hot-Rolled Strips, Laminar Cooling

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