On Modeling of Spray G ECN Using ROI-Based Eulerian-Lagrangian Simulation

IF 2 Q2 ENGINEERING, MECHANICAL
Akhil Ailaboina, K. Saha
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引用次数: 0

Abstract

A numerical study has been carried out to understand the effects of Unsteady Reynolds Averaged Navier-Stokes (standard k ― ε and RNG k ― ε model) and large eddy simulations (LES) on a multi-hole gasoline direct injection (GDI) system. The fuel injector considered in this study is the Spray G nozzle from the Engine Combustion Network (ECN). A blob injection model, based on empirical rate of injection (ROI) profile, is considered in this study. The latest data on spray penetrations from Engine Combustion Network is used for model validation along with experimental findings on suction velocity and local droplet diameter. The spray breakup is simulated by using the KH-RT breakup length model. The turbulence model constant Cε1, is tuned to match with the experimental data of liquid and vapor penetrations in simulations while using the standard k-ε turbulence model. On the other hand, the Kelvin-Helmholtz breakup model time constant (B1) and Rayleigh Taylor breakup length constant (Cbl) are tuned for the RNG k ― ε turbulence model. From this work it is observed that by increasing the breakup length model constants (Cbl), the radial dispersion of the spray increases, and the extent of breakup is lowered. The set of optimized model parameters used with RNG k - ε is also used for LES modeling studies with different sub-grid models. The spray penetrations with standard k ― ε turbulence (Cε1=1.44) model are reported underpredicting, and the RNG k ― ε and LES sub-grid models predicted well with the latest and recommended data from ECN. In terms of gas axial velocity comparison, the standard k-ε(Cε1=1.44) simulation setup does not perform as well as the simulation setups using RNG k-ε and LES turbulence models (with breakup parameters: Cbl = 16 and B1 = 32). However, the standard k-ε(Cε1=1.44) simulation setup perform better than the simulation setups using RNG k-ε and LES turbulence models (with breakup parameters: Cbl = 16 and B1 = 32) when it comes to predicting local droplet diameter at 15 mm downstream of the injector tip. A parametric study is also performed considering the geometry of the stepped holes in the computational domain. The rate of injection based simulation is initiated at the end of the smaller hole. The case including the stepped holes led to over-prediction compared to the case with the usual computational domain (i.e., without the stepped holes), in terms of spray penetrations, but exhibited higher levels of fluctuations in the spray morphology. Finally, parametric studies were carried out to understand the relative importance of the individual spray sub-models (breakup, evaporation and collision) and the results are conclusive that for a spray simulation the breakup models are the dominant factors.
基于roi的欧拉-拉格朗日模拟喷雾gecn建模
采用非定常雷诺平均Navier-Stokes(标准k - ε模型和RNG k - ε模型)和大涡模拟(LES)对多孔汽油直喷(GDI)系统进行了数值研究。本研究中考虑的喷油器是来自发动机燃烧网络(ECN)的Spray G喷嘴。本研究考虑了一种基于经验注射率(ROI)曲线的斑点注射模型。来自发动机燃烧网络的最新喷雾穿透数据与吸入速度和局部液滴直径的实验结果一起用于模型验证。采用KH-RT破碎长度模型对喷雾破碎过程进行了模拟。在使用标准k-ε湍流模型的情况下,对湍流模型常数Cε1进行了调整,使其与模拟中液体和蒸汽穿透的实验数据相匹配。另一方面,对RNG k - ε湍流模型的Kelvin-Helmholtz破裂模型时间常数(B1)和Rayleigh Taylor破裂长度常数(Cbl)进行了调整。研究结果表明,增大射流破碎长度模型常数(Cbl),射流径向弥散增大,射流破碎程度减小。RNG k - ε优化后的模型参数集也用于不同子网格模型的LES建模研究。采用标准k - ε湍流模型(Cε1=1.44)预测的喷雾穿透量偏低,而RNG k - ε和LES子网格模型采用ECN最新数据和推荐数据预测效果较好。在气体轴向速度比较方面,标准k-ε(Cε1=1.44)模拟设置的性能不如使用RNG k-ε和LES湍流模型(Cbl = 16和B1 = 32)的模拟设置。然而,在预测喷嘴末端下游15mm处的局部液滴直径时,标准k-ε(Cε1=1.44)模拟设置比使用RNG k-ε和LES湍流模型(Cbl = 16和B1 = 32)的模拟设置表现更好。在计算域中考虑了阶梯孔的几何形状,进行了参数化研究。基于注入速率的模拟是在较小的井眼末端开始的。与通常计算域(即没有阶梯孔)的情况相比,包含阶梯孔的情况在喷雾穿透方面导致过度预测,但在喷雾形态方面表现出更高的波动水平。最后,进行了参数化研究,以了解各个喷雾子模型(破裂、蒸发和碰撞)的相对重要性,结果表明,对于喷雾模拟,破裂模型是主导因素。
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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来源期刊
Frontiers in Mechanical Engineering
Frontiers in Mechanical Engineering Engineering-Industrial and Manufacturing Engineering
CiteScore
4.40
自引率
0.00%
发文量
115
审稿时长
14 weeks
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