用OpenFOAM进行商用燃烧器再设计的多物理场仿真

M. Konle, Ludovic de Guillebon, Christopher Beebe
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引用次数: 2

摘要

燃烧的数值描述可以很好地理解燃烧室在设计初期的热边界条件。通过精确的模拟,可以估计燃烧室壁面和涡轮入口轮廓上的热负荷,并可能根据结构要求进行定制。在MTU航空发动机公司,作者在OpenFOAM中建立了一个多物理场求解器,以支持燃烧器的开发过程。本文展示了商业发动机燃烧室的重新设计活动和所有相关物理方面的成功数值描述。用共轭传热法(CHT)预测的燃烧室内胆温度与热漆计算结果的比较表明,两者吻合良好。数值结果允许对不同的重新设计方案进行评估,以考虑最大衬垫温度和对涡轮入口温度分布的影响。多物理场求解器在实际发动机燃烧室设计中的应用受到计算能力和可接受的运行时间的限制。成功的仿真结果证明了该方法对复杂发动机设计的适用性。选择开放源代码允许使用大规模并行化。测试了多达1024个cpu的并行化,以评估加速模拟的潜力。结果令人鼓舞,并表明具有~ 1500万个单元的复杂网格可以在可接受的计算时间内模拟。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-Physics Simulations With OpenFOAM in the Re-Design of a Commercial Combustor
The numerical description of combustion provides a good understanding of the thermal boundary conditions of a combustor already in the early design phase. With an accurate simulation, the thermal load on the combustor wall as well as the turbine inlet profile can be estimated and potentially tailored to the structural requirements. At MTU Aero Engines AG, the authors set up a multi-physics solver in OpenFOAM to support the development process for combustors. This article shows the activities for a redesign of a commercial engine combustor and the successful numerical description of all related physical aspects. The comparison of combustor liner temperatures predicted via Conjugate Heat Transfer (CHT) with thermal paint results show excellent agreement. The numerical results allow the evaluation of different redesign options with respect to maximum liner temperatures and impact on turbine inlet temperature profiles. The application of a multi-physics solver to real engine combustor designs is limited to the availability of computational power and acceptable running time. The applicability of the presented approach to complex engine designs is not only shown by the successful simulation results. The choice of an open source code allows the usage of massive parallelization. A parallelization up to 1024 CPUs was tested to evaluate the potential of speeding up the simulations. The results are encouraging and show that complex meshes with ∼15 million cells can be simulated within acceptable calculation time.
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