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Winding number based automatic mesh generation algorithm for hydrogen analysis code GASFLOW-MPI

机译:氢分析代码GASFLOW-MPI的基于绕线数的自动网格生成算法

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Hydrogen energy is one of the most promising candidates for clean and renewable energy in the coming future. Under the commission of safety study in hydrogen application, storage and transportation, CFD code analysis is always an important component in the engineering design workflow. Among the three stages of CFD analysis, the solver part has been well studied in the past two decades. However, the pre-processing and post processing parts demand further study. The meshing process can be an important factor on the convergence speed and simulation reliability in hydrogen CFD study, which makes Cartesian mesh as an important choice in hydrogen safety codes However, traditional meshing process relies heavily on hand-based input card manipulation, which is inefficient and prone to human's improper manipulation. With the recent developments in codes like GASFLOW-MPI and FLACS, new functions have been added, which provide automatic mesh generation directly from the CAD geometry. In this work, the algorithm on automatic mesh generation will be further studied, which is more robust on the defective CAD geometries. In addition, application of the new evolving Virtual Reality technology will be implemented on the post-processing of the simulation result, which provides a better view in a real 3D environment. In the application part, three cases on a leaking hydrogen tank, a steam generator and a single car garage will be studied with regards to the validation of the new mesh generation approach. Finally, the Virtual Reality (VR) rendering performance will be studied based on the leaking hydrogen distribution in the single car garage. The work shows that the winding number based approach is an efficient and robust solution for the mesh generation of hydrogen CFD codes, and VR technology is a powerful tool for hydrogen safety simulation result rendering. (C) 2019 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.
机译:氢能是未来清洁和可再生能源最有希望的候选者之一。在氢气应用,储存和运输的安全研究的委托下,CFD代码分析始终是工程设计工作流程中的重要组成部分。在CFD分析的三个阶段中,在过去的二十年中,对求解器的部分进行了深入的研究。但是,预处理和后处理零件需要进一步研究。网格划分过程可能是影响氢CFD研究收敛速度和仿真可靠性的重要因素,这使笛卡尔网格成为氢安全代码中的重要选择。但是,传统的网格划分过程严重依赖于基于手工的输入卡操作,效率低下并容易受到人类的不当操纵。随着GASFLOW-MPI和FLACS等代码的最新发展,添加了新功能,这些功能可直接从CAD几何体自动生成网格。在这项工作中,将进一步研究关于自动网格生成的算法,该算法在有缺陷的CAD几何图形上更加健壮。此外,新的虚拟现实技术的应用将在模拟结果的后处理上实现,从而在真实的3D环境中提供更好的视图。在应用部分中,将对泄漏的氢气罐,蒸汽发生器和单个车库中的三种情况进行研究,以验证新的网格生成方法的有效性。最后,将基于单个车库中泄漏的氢气分布来研究虚拟现实(VR)渲染性能。这项工作表明,基于绕组数的方法是氢CFD代码网格生成的一种有效且强大的解决方案,而VR技术是用于氢安全模拟结果渲染的强大工具。 (C)2019氢能出版物有限公司。由Elsevier Ltd.出版。保留所有权利。

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