Evaluation of CFD sub-models for in-cylinder light-duty diesel engine simulation

M.I. Harun, H. Ng, S. Gan
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引用次数: 4

Abstract

An evaluation of the Computational Fluid Dynamics (CFD) sub-models for in-cylinder diesel engine combustion and emission simulations was conducted using an integrated numerical model from commercial CFD software FLUENT 6.3.26. As these simulations are sensitive to user-defined empirical parameters, the main aim of this investigation is to obtain an adjusted set of model parameters in order to achieve realistic results with the current version of FLUENT. Validation of simulation results is based on matching parallel experimental data to gauge the accuracy and applicability of each sub-model used. A Lagrangian Discrete Phase Model is employed to simulate spray atomisation/breakup process. Wave model is used, and the corresponding breakup time constant value, B1 that equals to 20 produces the most accurate results. Other sub-models such as drop distortion and dynamic drag, spray wall impingement and wall film with rebounding sliding and break-up, two-way turbulence coupling, collision and coalescences are integrated to model the dynamics of fuel spray. RNG k-ε is best suited for RANS approach to capture in-cylinder turbulent flow condition. Non-premixed combustion model which adopts the PDF approach provides good prediction of the in-cylinder diesel combustion process. The rich flammability limit of 0.1 produces good agreement with the experimental data. Extended Zeldovich, Fenimore and Turbulence-Interaction are incorporated to model NOx generation. One-step Khan and Greeves model is used for soot formation and oxidation prediction. Both soot and NOx models are parametrically calibrated to give reasonable predictions of the experimental measurements.
轻型柴油机缸内仿真的CFD子模型评价
利用商用CFD软件FLUENT 6.3.26集成的数值模型,对柴油机缸内燃烧与排放模拟计算流体动力学(CFD)子模型进行了评估。由于这些模拟对用户自定义的经验参数很敏感,因此本研究的主要目的是获得一组调整后的模型参数,以便在当前版本的FLUENT中获得真实的结果。仿真结果的验证基于对并行实验数据的匹配,以衡量所使用的每个子模型的准确性和适用性。采用拉格朗日离散相模型模拟喷雾的雾化/破碎过程。采用波浪模型,对应的破碎时间常数值B1 = 20得到的结果最为准确。此外,还集成了液滴畸变与动态阻力、喷壁碰撞与壁膜反弹滑动与破裂、双向湍流耦合、碰撞与聚并等子模型来模拟燃油喷射的动力学过程。RNG k-ε最适合于RANS方法来捕捉缸内湍流状态。采用PDF方法的非预混燃烧模型能较好地预测柴油机缸内燃烧过程。丰富的可燃性极限为0.1,与实验数据吻合良好。扩展的Zeldovich, Fenimore和湍流相互作用被纳入模型NOx的产生。一步Khan和Greeves模型用于烟尘的形成和氧化预测。烟灰和氮氧化物模型都进行了参数校准,以给出实验测量的合理预测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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