基于瞬态CFD分析的某商用车CNG发动机进气歧管性能预测、优化与验证

Geetesh Waghela, Tushar A Patil, Bhoopendra Tiwari, Ashok Kumar Patidar
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摘要

像印度这样的发展中国家有巨大的消费市场,这是由巨大的需求驱动的。商用车在满足这些要求方面发挥着关键作用。商用车的排放标准日益严格,因此设计具有最佳运行效率的内燃机动力系统变得至关重要。进气歧管是内燃机的关键部件,为所有气缸燃烧室提供燃料/空气混合物。它确保均匀的混合物在气缸入口,以便更好地混合在气缸内,以获得更好的体积效率。燃油/空气混合气分布不均匀,导致扭矩不稳定,燃油不燃,无法达到排放标准。这也导致在每个气缸温度不均匀,因为气缸失火。本文采用三维计算流体力学(CFD)方法对进气歧管出口处CNG/空气混合气的变化和均匀性进行了研究。利用商用CFD工具Ansys Fluent研究了混合气在歧管和流道内的流动分布。通过稳态模拟,初步估计了气瓶进口液化天然气的均匀性指标。为了进行详细的研究,将新鲜空气和CNG质量流量作为曲柄角的函数进行了瞬态模拟。本文首先进行了网格依赖性研究,以获得精度较高的最佳细胞数。使用自动化脚本对空气和天然气进行了详细的瞬态分析,时间步长小至曲柄角旋转1度,并结合注入压力和注入时机进行了研究。这有助于确定关键区域并优化设计,将质量流率差异从基线情况的15-20%提高到最终设计的6-7%,同时也提高了均匀性指数。它还有助于减少CNG发动机点火失败的问题。结果与实验室测试结果一致。
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Performance Prediction, Optimisation and Validation of a CNG Engine Intake Manifold of a Commercial Vehicle Using Transient CFD Analysis
Developing countries like India have large consumer markets driven by huge demands. Commercial vehicles play a critical role in full filing these demands. Commercial vehicles increasingly face stringent emission norms criteria and hence designing an ICE-powertrain with optimum operating efficiency becomes paramount. Intake manifold is the critical part of an internal combustion engine that supplies fuel/ air mixture to all the cylinders combustion chambers. It ensures a uniform mixture at cylinder inlet for better mixing inside the cylinders for better volumetric efficiency. Uneven distribution of fuel/air mixture causes unstable torque and unburnt fuel which fails to meet the emission norms. It also results in uneven temperatures in each cylinder because of cylinder misfiring. In current paper, 3D Computational Fluid Dynamics (CFD) simulations are carried out to investigate the variance and uniformity of CNG/air mixture at the outlet of intake manifold. Commercial CFD tool Ansys Fluent is used to study the flow distribution of mixture inside the manifold and runners. Initial estimation of flow pattern is done by performing a steady state simulation to predict the uniformity index of CNG at cylinder inlet. For detailed investigation, transient simulation is performed by taking fresh air and CNG mass flow rate as a function of crank angle. In this paper, mesh dependence study was done initially to achieve an optimum cell count with good accuracy. A detailed transient analysis using multi-species modelling for air & CNG was done using automated scripts with time steps as small as 1 degree crank angle rotation coupled with injection pressure and injection timing study. This helped to identify critical areas and optimise the design to improve the mass flow rate variance from 15-20% for baseline case to 6-7% for final design, and also improve the uniformity index. It also helped reduce the CNG engine mis-firing issue. The results have been well validated with Laboratory Test Results.    
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