Investigation of pollutants formation in a diesel engine using numerical simulation

M. Zahid, K. S. Syed
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引用次数: 0

Abstract

The current study aims at simulating the in-cylinder combustion process in a diesel engine and investigating the engine performance and pollutant formation. The combustion simulation is performed on a 3D sector employing appropriate models for various physical and chemical processes contributing in the combustion phenomenon. The overall model includes Transition SST turbulence model, eddy dissipation model for turbulence chemistry interaction, Moss–Brookes model for soot calculation and Zeldovich mechanism for NO production other than the usual transport equations. The numerical solutions are based on the finite volume discretization of the governing partial differential equations. Engine performance has been studied in terms of pressure, temperature and heat release rate while the pollutants formation has been investigated in terms of soot and thermal NO production. The results show that the ignition delay is quite short and that the injection timing may be successfully employed to control the combustion behavior. The simulation results are quite consistent with the expected behavior of the target variables indicating that the CFD analysis can be successfully employed in the diesel engine design. The results validation may be acknowledged in view of the mesh independence test, literature comparison and justification of the models.
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柴油机污染物形成的数值模拟研究
本研究旨在模拟柴油机缸内燃烧过程,研究发动机性能和污染物的形成。燃烧模拟是在3D扇区上进行的,该扇区采用了对燃烧现象有贡献的各种物理和化学过程的适当模型。总体模型包括过渡SST湍流模型、湍流化学相互作用的涡耗散模型、烟尘计算的Moss–Brookes模型和NO产生的Zeldovich机制,而不是通常的传输方程。数值解基于控制偏微分方程的有限体积离散化。从压力、温度和热释放率方面研究了发动机性能,同时从烟灰和热NO产生方面研究了污染物的形成。结果表明,点火延迟时间很短,喷油正时可以成功地控制燃烧行为。仿真结果与目标变量的预期行为非常一致,表明CFD分析可以成功地应用于柴油机设计中。可以从网格独立性测试、文献比较和模型合理性的角度来确认结果验证。
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来源期刊
Advanced Modeling and Simulation in Engineering Sciences
Advanced Modeling and Simulation in Engineering Sciences Engineering-Engineering (miscellaneous)
CiteScore
6.80
自引率
0.00%
发文量
22
审稿时长
30 weeks
期刊介绍: The research topics addressed by Advanced Modeling and Simulation in Engineering Sciences (AMSES) cover the vast domain of the advanced modeling and simulation of materials, processes and structures governed by the laws of mechanics. The emphasis is on advanced and innovative modeling approaches and numerical strategies. The main objective is to describe the actual physics of large mechanical systems with complicated geometries as accurately as possible using complex, highly nonlinear and coupled multiphysics and multiscale models, and then to carry out simulations with these complex models as rapidly as possible. In other words, this research revolves around efficient numerical modeling along with model verification and validation. Therefore, the corresponding papers deal with advanced modeling and simulation, efficient optimization, inverse analysis, data-driven computation and simulation-based control. These challenging issues require multidisciplinary efforts – particularly in modeling, numerical analysis and computer science – which are treated in this journal.
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