A fast simulation model combining with artificial neural networks for fin-and-tube condenser
✍ Scribed by Guo-liang Ding; Chun-lu Zhang; Hao Liu
- Publisher
- John Wiley and Sons
- Year
- 2002
- Tongue
- English
- Weight
- 362 KB
- Volume
- 31
- Category
- Article
- ISSN
- 1099-2871
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✦ Synopsis
Abstract
In order to improve predicting precision and increase the computation speed of simulation for a fin‐and‐tube condenser, a novel method integrating the fundamental mathematical model with an artificial neural network (ANN) is presented. A three‐zone model is used as the basic mathematical model. An ANN maps the nonlinear relation between the distributed‐parameter model and the three‐zone one. Another ANN is involved in the present model to reflect the bias between the model and experimental results, and to improve the simulation accuracy. Practical utilization of the present model shows that the computation speed of the present model is two orders of magnitude higher than that of the distributed‐parameter model, while the precision is also improved. © 2002 Wiley Periodicals, Inc. Heat Trans Asian Res, 31(7): 551–557, 2002; Published online in Wiley InterScience (www.interscience. wiley.com). DOI 10.1002/htj.10054