Assessment of Numerical Accuracy and Parallel Performance of OpenFOAM and its Reacting Flow Extension EBIdnsFoam

IF 2 3区 工程技术 Q3 MECHANICS Flow, Turbulence and Combustion Pub Date : 2023-06-29 DOI:10.1007/s10494-023-00449-8
Thorsten Zirwes, Marvin Sontheimer, Feichi Zhang, Abouelmagd Abdelsamie, Francisco E. Hernández Pérez, Oliver T. Stein, Hong G. Im, Andreas Kronenburg, Henning Bockhorn
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引用次数: 5

Abstract

OpenFOAM is one of the most widely used open-source computational fluid dynamics tools and often employed for chemical engineering applications. However, there is no systematic assessment of OpenFOAM’s numerical accuracy and parallel performance for chemically reacting flows. For the first time, this work provides a direct comparison between OpenFOAM’s built-in flow solvers as well as its reacting flow extension EBIdnsFoam with four other, well established high-fidelity combustion codes. Quantification of OpenFOAM’s numerical accuracy is achieved with a benchmark suite that has recently been established by Abdelsamie et al.?(Comput Fluids 223:104935, 2021. https://doi.org/10.1016/j.compfluid.2021.104935) for combustion codes. Fourth-order convergence can be achieved with OpenFOAM’s own cubic interpolation scheme and excellent agreement with other high-fidelity codes is presented for incompressible flows as well as more complex cases including heat conduction and molecular diffusion in multi-component mixtures. In terms of computational performance, the simulation of incompressible non-reacting flows with OpenFOAM is slower than the other codes, but similar performance is achieved for reacting flows with excellent parallel scalability. For the benchmark case of hydrogen flames interacting with a Taylor–Green vortex, differences between low-Mach and compressible solvers are identified which highlight the need for more investigations into reliable benchmarks for reacting flow solvers. The results from this work provide the first contribution of a fully implicit compressible combustion solver to the benchmark suite and are thus valuable to the combustion community. The OpenFOAM cases are publicly available and serve as guide for achieving the highest numerical accuracy as well as a basis for future developments.

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OpenFOAM及其反应流扩展EBIdnsFoam的数值精度及并行性能评价
OpenFOAM是使用最广泛的开源计算流体动力学工具之一,经常用于化学工程应用。然而,没有系统的评估OpenFOAM的数值精度和并行性能的化学反应流动。这项工作首次将OpenFOAM的内置流动求解器及其反应流动扩展EBIdnsFoam与其他四种完善的高保真燃烧代码进行了直接比较。OpenFOAM的数值精度量化是通过Abdelsamie等人最近建立的基准套件实现的。[j] .计算机工程学报,2016。https://doi.org/10.1016/j.compfluid.2021.104935)查阅燃烧守则。使用OpenFOAM自己的三次插值方案可以实现四阶收敛,并且对于不可压缩流动以及多组分混合物中的热传导和分子扩散等更复杂的情况,与其他高保真码具有很好的一致性。在计算性能方面,使用OpenFOAM模拟不可压缩非反应流的速度比其他代码慢,但对于具有优秀并行可扩展性的反应流,可以达到类似的性能。对于氢火焰与泰勒-格林涡旋相互作用的基准情况,确定了低马赫和可压缩求解器之间的差异,这突出了对反应流求解器的可靠基准进行更多研究的必要性。这项工作的结果为基准套件提供了一个完全隐式可压缩燃烧求解器的第一个贡献,因此对燃烧社区很有价值。OpenFOAM案例是公开的,可以作为实现最高数值精度的指南以及未来发展的基础。
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来源期刊
Flow, Turbulence and Combustion
Flow, Turbulence and Combustion 工程技术-力学
CiteScore
5.70
自引率
8.30%
发文量
72
审稿时长
2 months
期刊介绍: Flow, Turbulence and Combustion provides a global forum for the publication of original and innovative research results that contribute to the solution of fundamental and applied problems encountered in single-phase, multi-phase and reacting flows, in both idealized and real systems. The scope of coverage encompasses topics in fluid dynamics, scalar transport, multi-physics interactions and flow control. From time to time the journal publishes Special or Theme Issues featuring invited articles. Contributions may report research that falls within the broad spectrum of analytical, computational and experimental methods. This includes research conducted in academia, industry and a variety of environmental and geophysical sectors. Turbulence, transition and associated phenomena are expected to play a significant role in the majority of studies reported, although non-turbulent flows, typical of those in micro-devices, would be regarded as falling within the scope covered. The emphasis is on originality, timeliness, quality and thematic fit, as exemplified by the title of the journal and the qualifications described above. Relevance to real-world problems and industrial applications are regarded as strengths.
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