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Integration of Genetic Programing With Genetic Algorithm for Correlating Heat Transfer Problems

机译:遗传程序与遗传算法集成解决热传递问题

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摘要

In the present paper, the genetic programing (GP) is integrated with the genetic algorithm (GA) for deriving heat transfer correlations. In the process of developing heat transfer correlations with the approach (GP with GA (GPA)), the GP is first employed to obtain some potential optimal forms. After that, the forms are further optimized with the global GA to reach minimum errors between the predicted values and experimental values. With the proposed approach, three typical different heat transfer problems are applied to the data reduction processes from published experimental data, which are heat transfer in a shell-and-tube heat exchanger (STHE) with continuous helical baffles, a single row heat exchanger with helically finned tubes and a finned oval-tube heat exchanger with double rows of tubes, respectively. The results indicate that the GPA approach could improve the performance of heat transfer correlations obtained with the GP. Compared with the power-law-based correlations, the heat transfer correlations obtained with the approach have higher predicted accuracies and more excellent robustness.
机译:在本文中,遗传编程(GP)与遗传算法(GA)集成在一起,以得出传热相关性。在利用该方法(与GA的GP(GPA))建立热传递相关性的过程中,首先采用GP来获得一些潜在的最佳形式。之后,使用全局GA进一步优化表单,以在预测值和实验值之间达到最小误差。通过提出的方法,将三个典型的不同传热问题应用于已发布的实验数据的数据减少过程中,这些问题是在具有连续螺旋折流板的管壳式换热器(STHE)中的传热,以及具有连续螺旋折流板的单排换热器。螺旋翅片管和双排翅片椭圆管换热器。结果表明,GPA方法可以改善用GP获得的传热相关性能。与基于幂律的相关性相比,该方法获得的传热相关性具有更高的预测精度和更出色的鲁棒性。

著录项

  • 来源
    《Journal of Heat Transfer》 |2015年第6期|061012.1-061012.8|共8页
  • 作者单位

    Key Laboratory of Thermal-Fluid Science and Engineering, Ministry of Education, Xi'an Jiaotong University, Xi'an 710049, Shaanxi, China;

    Key Laboratory of Thermal-Fluid Science and Engineering, Ministry of Education, Xi'an Jiaotong University, Xi'an 710049, Shaanxi, China;

    Suzhou Nuclear Power Research Institute (SNPI), Suzhou 215000, Jiangsu, China;

    Key Laboratory of Thermal-Fluid Science and Engineering, Ministry of Education, Xi'an Jiaotong University, Xi'an 710049, Shaanxi, China;

    Key Laboratory of Thermal-Fluid Science and Engineering, Ministry of Education, Xi'an Jiaotong University, Xi'an 710049, Shaanxi, China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    genetic programing; genetic algorithm; heat transfer correlations; accuracy; robustness;

    机译:基因编程;遗传算法传热相关性准确性;健壮性;

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