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首页> 外文会议>The 2001 ASME International Mechanical Engineering Congress and Exposition, 2001, Nov 11-16, 2001, New York, New York >CORRELATIONS OF FIN-TUBE HEAT EXCHANGER PERFORMANCE DATA USING GENETIC ALGORITHMS, SIMULATED ANNEALING AND INTERVAL METHODS
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CORRELATIONS OF FIN-TUBE HEAT EXCHANGER PERFORMANCE DATA USING GENETIC ALGORITHMS, SIMULATED ANNEALING AND INTERVAL METHODS

机译：基于遗传算法，模拟退火和区间法的翅片换热器性能数据的相关性

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摘要

We consider the prediction of the performance of an air-water fin-tube compact heat exchanger using correlations of the power-law type. Measurements of the in-tube and over-tube mass flow rates, inlet temperatures and heat transfer rates, with water as the in-tube fluid and air as the over-tube fluid, are used to show that a regression analysis for the best-fit correlation of a prescribed form does not provide a unique answer in the heat rate predictions and that a global, rather than a local, search for the best correlation should be conducted. To this end, we propose the aplication of three different global optimization techniques to find the constants in a prescribed correlating function which can then be used to predict the performance of this heat exchanger under different operating conditions. Comparisons of the differ-ent results are then made to determine the relative advantages and disadvantages among the methods in terms of efficiency, ac-curacy and certainty of the results. Every method is found to bave advantages over the others, and the results demonstrate that all three techniques are able to predict well the performance of this heat exchanger.
机译：我们考虑使用幂律类型的相关性来预测空气-水翅片管紧凑型热交换器的性能。以水为管内流体，空气为管内流体，对管内和管上质量流速，入口温度和传热率进行测量，可得出最佳回归分析：规定形式的拟合相关性不能在热率预测中提供唯一的答案，应该进行全局而不是局部的最佳相关性搜索。为此，我们提出了三种不同的全局优化技术的应用，以找到规定的相关函数中的常数，然后可将这些常数用于预测此热交换器在不同运行条件下的性能。然后比较不同结果，以确定方法之间在效率，准确性和结果确定性方面的相对优缺点。发现每种方法都比其他方法具有优势，结果表明，这三种技术都能很好地预测该热交换器的性能。

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