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A numerical study of the unsteady burning behaviour of n-heptane droplets

机译:正庚烷液滴非稳态燃烧行为的数值研究

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摘要

Unsteady, sphero-symmetric n-heptane droplet burning behaviour is investigated by performing a numerical model simulation from deployment of the droplet to quasi-steady burning. The numerical model used in the present study incorporates complex chemistry consisting of 96 forward and backward reaction steps and a detailed molecular transport mechanism such that droplet burning behaviour can be simulated with almost no simplification. Unsteady burning behaviour such as droplet heating before and after the ignition, and variation of the gasification rate and the flame stand-off ratio were investigated by employing three different heat transfer modes inside the droplet, i.e. no droplet heating, conduction limit and infinite heat conductivity. The model simulation results showed that the gasification rate reaches the quasi-steady state much earlier than the flame stand-off ratio. This behaviour is consistent with previous experimental observations. The calculated fuel accumulation effect is not significant enough to account for this prolonged unsteadiness of the flame stand-off ratio. Furthermore, it was shown numerically that the observed unsteadiness does not stem either from the initial droplet heating or from the droplet surface regression. When the heat conduction limit model was employed, the droplet surface was heated rapidly and no significant ignition delay was observed. In contrast, when the infinite heat conductivity model was employed, the droplet ignition was delayed over 10 times compared to the heat-conduction-limited case.
机译:通过执行从液滴展开到准稳态燃烧的数值模型仿真,研究了非对称球对称正庚烷液滴的燃烧行为。本研究中使用的数值模型结合了复杂的化学反应,该化学反应由96个正向和反向反应步骤以及详细的分子传输机制组成,因此几乎无需简化就可以模拟液滴燃烧行为。通过在液滴内部采用三种不同的传热模式,即无液滴加热,传导极限和无限导热性,研究了不稳定燃烧行为,例如点火前后的液滴加热以及气化速率和火焰阻隔率的变化。 。模型仿真结果表明,气化速率比火焰稳定比早得多地达到了准稳态。此行为与以前的实验观察结果一致。计算得出的燃料积聚效果不足以解决火焰支撑率长期不稳定的问题。此外,从数值上表明,观察到的不稳定性既不是源于初始的液滴加热,也不是源于液滴表面的退化。当采用热传导极限模型时,液滴表面被迅速加热,没有观察到明显的点火延迟。相反,当采用无限导热率模型时,与热传导受限的情况相比,液滴的点火被延迟了10倍以上。

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