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Using adjoint-based optimization to enhance ignition in non-premixed jets
Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences ( IF 2.9 ) Pub Date : 2021-01-06 , DOI: 10.1098/rspa.2020.0472
Ubaid Ali Qadri 1 , Luca Magri 1 , Matthias Ihme 2 , Peter J Schmid 3
Affiliation  

Gradient-based optimization is used to reliably and optimally induce ignition in three examples of laminar non-premixed mixture configurations. Using time-integrated heat release as a cost functional, the non-convex optimization problem identified optimal energy source locations that coincide with the stoichiometric local mixture fraction surface for short optimization horizons, while for longer horizons, the hydrodynamics plays an increasingly important role and a balance between flow and chemistry features determines non-trivial optimal ignition locations. Rather than identifying a single optimal ignition location, the results of this study show that there may be several equally good ignition locations in a given flow configuration.

中文翻译:


使用基于伴随的优化来增强非预混射流的点火



在层流非预混混合物配置的三个示例中,基于梯度的优化用于可靠且最佳地诱导点火。使用时间积分热释放作为成本函数,非凸优化问题确定了最佳能源位置,该位置与短优化范围内的化学计量局部混合分数表面一致,而对于较长的范围,流体动力学起着越来越重要的作用,并且流动和化学特征之间的平衡决定了重要的最佳点火位置。这项研究的结果表明,在给定的流动配置中可能存在多个同样好的点火位置,而不是确定单个最佳点火位置。
更新日期:2021-01-06
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