Implementation and Validation of a Computationally Efficient DNS Solver for Reacting Flows in OpenFOAM

T. Zirwes, F. Zhang, P. Habisreuther, J. Denev, H. Bockhorn, D. Trimis
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引用次数: 7

Abstract

. To meet future climate goals, the efficiency of combustion devices has to be increased. This requires a better understanding of the underlying physics. The simulation of turbulent flames is a challenge because of the multi-scale nature of combustion processes: relevant length scales span over five orders of magnitude and time scales over more than ten. Because of this, the direct numerical simulation (DNS) of turbulent flames is only possible on large supercomputers. A DNS solver for chemically reacting flows implemented in the open-source framework OpenFOAM is presented. The thermo-chemical library Cantera is used to compute detailed transport coefficients based on kinetic gas theory. The multi-scale nature of time scales, which are much lower for the combustion chemistry than for the flow, are bridged by an operator splitting approach, which employs the open-source solver Sundials to integrate chemical reaction rates. Because the direct simulation
OpenFOAM中响应流计算效率DNS求解器的实现与验证
. 为了达到未来的气候目标,必须提高燃烧装置的效率。这需要对底层物理有更好的理解。湍流火焰的模拟是一个挑战,因为燃烧过程的多尺度性质:相关的长度尺度超过五个数量级,时间尺度超过十个数量级。正因为如此,湍流火焰的直接数值模拟(DNS)只能在大型超级计算机上实现。提出了一个在开放源代码框架OpenFOAM中实现的用于化学反应流的DNS解析器。利用热化学库Cantera计算基于动力学气体理论的详细输运系数。燃烧化学反应的时间尺度比流动的时间尺度要低得多,这种多尺度的时间尺度可以通过操作员分裂方法来解决,该方法使用开源求解器Sundials来整合化学反应速率。因为直接模拟
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