Gasoline compression ignition (GCI) is a promising strategy to achieve high thermal efficiency and low emissions with limited modifications to the conventional diesel engine hardware. It is a partially premixed concept, which derives its superiority from higher volatility and longer ignition delay of gasoline-like fuels combined with higher compression ratio typical of diesel engines. The present study investigates the combustion process in a GCI engine operating with different injection strategies using computational fluid dynamics (CFD). Simulations are carried out on a single cylinder of a multi cylinder heavy-duty compression ignition engine, which operates at a compression ratio of 17:1 and an engine speed of 1038 rev/min. Two different injection strategies viz., late injection (LI), and early pilot injection (EP) are investigated to understand their impact on combustion and performance of the engine. Renormalized group (RNG) k-epsilon model is used to describe in-cylinder turbulence and KH RT model is used to simulate the fuel spray breakup. The developed CFD methodology is validated against relevant experimental data under a wide range of operating conditions for each injection strategy. The developed CFD methodology was found to capture the engine combustion behavior quite well. Based on the validated CFD model, the differences in the progress of combustion event for the two injection strategies is highlighted. It was found that a larger pilot fuel mass fraction results in a steeper rise in the initial heat release rate which in turn influences the transition to mixing controlled combustion. In line with the experimental data, the study showed that the late pilot injection strategy with three injection pulses, results in higher performance compared to the other conditions.
机构:
Jilin Univ, State Key Lab Automot Simulat & Control, Changchun 130025, Peoples R ChinaJilin Univ, State Key Lab Automot Simulat & Control, Changchun 130025, Peoples R China
Wang, Zhongshu
Zhao, Zhongxiang
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Jilin Univ, State Key Lab Automot Simulat & Control, Changchun 130025, Peoples R ChinaJilin Univ, State Key Lab Automot Simulat & Control, Changchun 130025, Peoples R China
Zhao, Zhongxiang
Wang, Dan
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Jilin Univ, State Key Lab Automot Simulat & Control, Changchun 130025, Peoples R ChinaJilin Univ, State Key Lab Automot Simulat & Control, Changchun 130025, Peoples R China
Wang, Dan
Tan, Manzhi
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Jilin Univ, State Key Lab Automot Simulat & Control, Changchun 130025, Peoples R ChinaJilin Univ, State Key Lab Automot Simulat & Control, Changchun 130025, Peoples R China
Tan, Manzhi
Han, Yongqiang
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Jilin Univ, State Key Lab Automot Simulat & Control, Changchun 130025, Peoples R ChinaJilin Univ, State Key Lab Automot Simulat & Control, Changchun 130025, Peoples R China
Han, Yongqiang
Liu, Zhongchang
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Jilin Univ, State Key Lab Automot Simulat & Control, Changchun 130025, Peoples R ChinaJilin Univ, State Key Lab Automot Simulat & Control, Changchun 130025, Peoples R China
Liu, Zhongchang
Dou, Huili
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China FAW Grp Cooperat R&D Ctr, Changchun 130011, Peoples R ChinaJilin Univ, State Key Lab Automot Simulat & Control, Changchun 130025, Peoples R China
机构:
Korea Adv Inst Sci & Technol, Dept Mech Engn, Daejeon, South Korea
Doosan Infracore Co, Adv Engine Syst Dev Team, Seoul, South KoreaKorea Adv Inst Sci & Technol, Dept Mech Engn, Daejeon, South Korea
Shim, Euijoon
Park, Hyunwook
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Korea Adv Inst Sci & Technol, Dept Mech Engn, Daejeon, South KoreaKorea Adv Inst Sci & Technol, Dept Mech Engn, Daejeon, South Korea
Park, Hyunwook
Bae, Choongsik
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Korea Adv Inst Sci & Technol, Dept Mech Engn, Daejeon, South KoreaKorea Adv Inst Sci & Technol, Dept Mech Engn, Daejeon, South Korea