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Modelling the wide temperature range of steam table using the neural networks  

Lee, Tae-Hwan (진주산업대학교 메카트로닉스공학과)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.10, no.11, 2006 , pp. 2008-2013 More about this Journal
Abstract
In numerical analysis on evaluating the thermal performance of the thermal equipment, numerical values of thermodynamic properties such as temperature, pressure, specific volume, enthalpy and entropy are required. But the steam table itself cannot be used without modelling. In this study applicability of neural networks in modelling the wide temperature range of wet saturated vapor region was examined. the multi-layer neural network consists of a input layer with 1 node, two hidden layers with 10 and 20 nodes respectively and a output layer with 6 nodes. Quadratic and cubic spline interpoations methods were also applied for comparison. Neural network model revealed similar percentage error to spline interpolation. From these results, it is confirmed that the neural networks could be powerful method in modelling the wide range of the steam table.
Keywords
Steam table; Saturated vapor; Neural network; Spline interpolation;
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Times Cited By KSCI : 1  (Citation Analysis)
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