ANN‐Based Correlation for Heat Transfer Coefficient of Gas‐Liquid Flow for Different Flow Patterns in Horizontal Pipes |
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| Authors: | Karimi Hajir Najmeh Sobhanifar |
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| Affiliation: | Yasouj University, Yasouj, Iran |
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| Abstract: | Flow patterns and local heat transfer coefficients were measured for air–water flow in a horizontal pipe. A technique based upon a cascade neural network was developed for simultaneously recognition of the flow pattern (FP) and the corresponding heat transfer coefficient (hTP) for each FP. The results show good agreement between the estimated and the experimental values with 98.35% accuracy for FP and 95.6% accuracy for hTP. The results were compared with the Kim and Ghajar heat transfer correlation. The findings revealed that the proposed model is efficient and predicts flow more accurately than the Kim and Ghajar correlation. |
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| Keywords: | cascade neural network flow pattern heat transfer coefficient two‐phase flow |
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