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AGER, 2017, 1(3): 158-170 原创论文 复杂结构换热器流动传热高效算法

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发表于 2017-12-12 16:34:54 | 显示全部楼层 |阅读模式

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本帖最后由 宁坤 于 2017-12-30 17:43 编辑

[主要内容] 扁管管翅式换热器是石油化工等行业的常用换热器,对其传热性能的改善与所采用的结构优化设计方法密切相关,而管内外流动与换热过程的复杂性以及各结构参数组合的多样性使得设计计算耗时很长。本文将POD插值法引入换热器流动与传热数值模拟,得到了与传统算法一致的结果但获得了相对于传统算法160到2000多倍的计算速度提升。该方法有望广泛应用于其他类型换热器的高效设计和运行优化中。


Advances in Geo-Energy Research, 网址:http://www.astp-agr.com/index.php/Index/Index/detail?id=31




Using proper orthogonal decomposition to solve heat transfer process in a flat tube bank fin heat exchanger

Ye Wang, Xintong Xia, Yi Wang, Liangbi Wang, Wenting Hu

(Published: 2017-12-25)

Corresponding Author and Email: Ye Wang, wangye@mail.lzjtu.cn

Citation: Wang, Y., Xia, X., Wang, Y., et al. Using proper orthogonal decomposition to solve heat transfer process in a flat tube bank fin heat exchanger. Adv. Geo-energ. Res. 2017, 1(3): 158-170, doi: 10.26804/ager.2017.03.03.

Article Type: Original article

Abstract:
Proper orthogonal decomposition (POD) reduced-order model can save computing time by reducing the dimension of physical problems and reconstructing physical fields. It is especially suitable for large-scale complex problems in engineering, such as ground heat utilization, sea energy development, mineral exploitation, multiphase flow and flow and heat transfer with complex structure. In this paper, the POD reduced-order model was used to calculate the heat transfer in a flat tube bank fin heat exchanger. The calculating results of the finite volume method (FVM) were adopted as the snapshot samples. SVD method was used to decompose the samples to obtain a series of bases and corresponding coefficients on sampling conditions. With these coefficients, interpolation method was used to calculate the coefficients on predicting conditions. And the physical field has been reconstructed using the bases and the interpolated coefficients directly. In the calculation of heat transfer unit of flat tube fin heat exchanger, air-side Reynolds number, transverse tube spacing and the fin spacing were chosen as the variables. The results obtained by the POD method are in good agreement with the results calculated by the FVM. Moreover, the POD reduced-order model presented in this paper is more advantageous in comparison with the FVM in terms of accuracy, suitability, and computational speed.


Keywords: Proper orthogonal decomposition (POD), POD reduced-order model, flat tube bank fin heat exchanger, interpolation method, reconstructed temperature field.

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