Implementation of the IDEAL algorithm for complex steady-state incompressible fluid flow problems in OpenFOAM
Implementation of the IDEAL algorithm for complex steady-state incompressible fluid flow problems in OpenFOAM
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OpenFOAM 中复杂稳态不可压缩流体流动问题的 IDEAL 算法的实现
DOI：
10.1016/j.icheatmasstransfer.2017.08.004
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发表时间：
2017-11
影响因子：
7
通讯作者：
王鹏
中科院分区：
文献类型：
--
作者：
邓雅军;孙东亮;梁永图;宇波;王鹏
IDEAL算法是一种高效、鲁棒的压力-速度耦合算法，已被应用于各种流体流动和传热问题。然而，IDEAL算法的进一步发展遇到了两个关键问题：它很难被其他研究人员掌握和难以推广到复杂的工程问题。为了克服这两个问题，在世界上使用最广泛的开源CFD软件- OpenFOAM中实现了IDEAL算法。这样，任何研究人员都可以方便地使用IDEAL算法来解决复杂的流体流动问题。然后，针对复杂的稳态不可压缩流体流动问题，分析了IDEAL算法的性能。结果表明，在复杂情况下，IDEAL算法的收敛性和鲁棒性上级SIMPLE和SIMPLEC算法。特别地，IDEAL算法可以达到收敛，而SIMPLE和SIMPLEC算法在某些情况下不能获得收敛解。该研究为IDEAL算法在复杂工程问题中的广泛应用奠定了基础。
The IDEAL algorithm is an efficient and robust pressure-velocity coupling algorithm, which has been applied in a variety of fluid flow and heat transfer problems. However, the further development of the IDEAL algorithm encounters with two key issues: it is hard to be mastered by other researchers and difficult to be extended to complex engineering problems. In order to overcome these two issues, the IDEAL algorithm is implemented in the world's most widely used open source CFD software - OpenFOAM. In that way, it is convenient for any researcher to employ the IDEAL algorithm to solve complex fluid flow problems. Then, the performance of IDEAL algorithm is analyzed with focus on complex steady-state incompressible fluid flow problems. The results indicate that the IDEAL algorithm is superior to the SIMPLE and SIMPLEC algorithms in convergence and robustness for complex cases. In particular, the IDEAL algorithm can reach convergence, whereas the SIMPLE and SIMPLEC algorithms cannot obtain convergent solution in some cases. This research lays a foundation for a wider application of the IDEAL algorithm in complex engineering problems.
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DOI：
10.1016/j.ijheatmasstransfer.2016.10.002
发表时间：
2017-02
影响因子：
5.2
作者：
N. Fujisawa;Kazuya Uchiyama;T. Yamagata
通讯作者：
N. Fujisawa;Kazuya Uchiyama;T. Yamagata
影响因子：
6.7
作者：
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通讯作者：
G. Shi;Long Li;Chongfang Song;S. Cheng;W. Tao;Y. L. He
影响因子：
0.8
作者：
Huahao Sun;G. Lauriat
通讯作者：
Huahao Sun;G. Lauriat
影响因子：
2.2
作者：
Huahao Sun;G. Lauriat
通讯作者：
Huahao Sun;G. Lauriat
DOI：
10.1016/j.ijheatmasstransfer.2016.02.057
发表时间：
2016-07
影响因子：
5.2
作者：
R. Kumar;A. Dewan
通讯作者：
R. Kumar;A. Dewan