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Simulating interactions of detonation, ionization chemistry, and magnetohydrodynamics

机译:模拟爆轰,电离化学和磁力学动力学的相互作用

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Detonation engines have the potential to remove NO_x emissions from combustion-based power generation by using high-temperature oxyfuel combustion. A magnetohydrodynamic (MHD) generator can directly extract power from ionized gases behind the detonation front (via the Lorentz force). This eliminates moving components found in gas turbine engines unable to withstand high temperatures. Modeling detonations coupled with MHD requires the simultaneous consideration of interactions between compressible flow, chemical reactions, and an electromagnetic field. This is achieved by coupling a Riemann solver, implicit ordinary differential equation integrators, and a Galerkin finite-element solver, which respectively solve the Euler, stiff chemical kinetics, and decoupled Maxwell equations. Each solver is separately verified and validated, and the coupled system is validated with literature results. Simulations of hydrogen and methane oxyfuel combustion are performed over a range of parameters to determine potential power extraction and emissions. To increase the efficiency of MHD, seed particles are typically necessary to increase a fluid's electrical conductivity through ionization. Therefore, impact of seed composition and quantity is also assessed. These results provide insight into the complex parasitic interactions between detonation, ionization, and MHD effects.
机译:爆炸发动机有可能通过使用高温氧燃料燃烧从基于燃烧的发电中除去NO_X排放。磁性信息动力学(MHD)发生器可以直接从爆炸前部(通过洛伦兹力)后面的电离气体提取电力。这消除了无法承受高温的燃气轮机发动机中发现的移动部件。与MHD耦合的建模爆炸需要同时考虑可压缩流动,化学反应和电磁场之间的相互作用。这是通过耦合RIEMANN求解器,隐式常微分方程集成器和Galerkin有限元件求解器来实现的,分别求解欧拉,硬化动力学和分离的麦克斯韦方程。每个解算器都是单独验证和验证的,并且耦合系统被文献结果验证。在一系列参数上进行氢气和甲烷氧气燃烧的模拟,以确定潜在的电力提取和排放。为了提高MHD的效率,通常需要种子颗粒以通过电离增加流体的电导率。因此,还评估了种子组成和量的影响。这些结果提供了对爆炸,电离和MHD效应之间的复杂寄生相互作用的洞察力。

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