沼气诱导HCCI发动机端口注入DEE的计算研究

Karthick Jairam, Feroskhan Mohammed Musthafa, Kishorre Annanth Vijayan, M. Renganathan
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引用次数: 2

摘要

由于全球气候变化和大气污染,一些汽车制造公司寻求均质充电发动机,以满足严格的排放标准。在本工作中,计算流体动力学(CFD)研究了燃气-乙醚(DEE)均质装药压缩发动机(HCCI)在气道燃油喷射和歧管燃油喷射下空气-燃料混合物形成的均匀性。给出了基于燃料和总空气燃料混合物的等效比的分布,并发现与文献非常吻合。早期的调查表明,与其他替代燃料相比,使用沼气作为单一燃料会导致较低的功率输出。因此,本研究计划通过燃油喷射系统将含DEE的沼气作为点火改进剂,以寻找最合适的燃油喷射系统。在与网格无关的研究中,与均匀性因素相比,发现端口注射方式比流形注射方式表现更好。为了在端口喷射模式下更好的缸内分布,研究了基于沼气、乙醚以及密度、湍流动能、湍流耗散率等变量对空气-燃料混合气均匀性和等效比的等体积影响。
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Computational investigations on port injected DEE in a biogas inducted HCCI engine
Owing to global climate change and atmospheric pollution, several automobile manufacturing companies look for homogeneously charged engines to satisfy strict emission levels. In the present work, computational fluid dynamics (CFD) investigations have been carried out to showcase the homogeneity of air-fuel mixture formation by port fuel injection and manifold fuel injection of a Biogas-Diethyl Ether (DEE) homogeneous charge compression engine (HCCI). The distributions of equivalence ratio based on fuel and the total air-fuel mixture is formulated and found to be in close agreement with the literature. Earlier investigations have shown that the use of biogas as a single fuel causes lower power output compared to other alternative fuels. Hence the present study is planned to use biogas with DEE as an ignition improver via fuel injection systems to find the best suitable fuel injection system. In the mesh independent study, port injection mode is found to perform better against the manifold injection mode when compared with the homogeneity factor. Iso-volumes of excess-air ratio based on biogas, diethyl ether and other variables such as the density, turbulent kinetic energy, turbulent dissipation rate of air-fuel mixture influencing the homogeneity and equivalence ratio are studied for better in-cylinder distribution under the port injection mode.
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来源期刊
CiteScore
2.00
自引率
0.00%
发文量
19
审稿时长
16 weeks
期刊介绍: The International Journal for Simulation and Multidisciplinary Design Optimization is a peer-reviewed journal covering all aspects related to the simulation and multidisciplinary design optimization. It is devoted to publish original work related to advanced design methodologies, theoretical approaches, contemporary computers and their applications to different fields such as engineering software/hardware developments, science, computing techniques, aerospace, automobile, aeronautic, business, management, manufacturing,... etc. Front-edge research topics related to topology optimization, composite material design, numerical simulation of manufacturing process, advanced optimization algorithms, industrial applications of optimization methods are highly suggested. The scope includes, but is not limited to original research contributions, reviews in the following topics: Parameter identification & Surface Response (all aspects of characterization and modeling of materials and structural behaviors, Artificial Neural Network, Parametric Programming, approximation methods,…etc.) Optimization Strategies (optimization methods that involve heuristic or Mathematics approaches, Control Theory, Linear & Nonlinear Programming, Stochastic Programming, Discrete & Dynamic Programming, Operational Research, Algorithms in Optimization based on nature behaviors,….etc.) Structural Optimization (sizing, shape and topology optimizations with or without external constraints for materials and structures) Dynamic and Vibration (cover modelling and simulation for dynamic and vibration analysis, shape and topology optimizations with or without external constraints for materials and structures) Industrial Applications (Applications Related to Optimization, Modelling for Engineering applications are very welcome. Authors should underline the technological, numerical or integration of the mentioned scopes.).
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