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Evaluation of non-premixed combustion and fuel spray models for in-cylinder diesel engine simulation

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  • Mohamed Ismail, Harun
  • Ng, Hoon Kiat
  • Gan, Suyin

Abstract

Computational Fluid Dynamics (CFD) study of light-duty automotive diesel engines affords invaluable insights into in-cylinder conditions and processes, which greatly expands on the very limited detail provided by engine-out measurements of exhaust emissions. For the simulation to be successful, accuracy and robustness of the physical sub-models are crucial. The purpose of this feasibility study is to appraise the non-premixed combustion and fuel spray CFD sub-models for in-cylinder diesel engine simulation on a FLUENT 6.3.26 platform. Simulation results are compared against data from parallel experimental test-bed studies in terms of pressure traces, heat release curves and tailpipe values of NOx and soot levels. Heat release rate and pressure trace from the computations are found to be within a reasonable error limit of 10%. Simulated heat released plots are able to capture the general trend of premixed and mixing-controlled diesel combustion phases. Ignition delay period for the main combustion event is well predicted, although the calculated ignition delay period for pilot combustion is 7–10° crank angle degrees earlier for all the test cases. The variations for exhaust soot and NO when the timing of start of injection is changed are reproduced successfully. CFD modelling, when used in conjunction with experimental studies is proven to be particularly effective in elucidating physical details of in-cylinder processes.

Suggested Citation

  • Mohamed Ismail, Harun & Ng, Hoon Kiat & Gan, Suyin, 2012. "Evaluation of non-premixed combustion and fuel spray models for in-cylinder diesel engine simulation," Applied Energy, Elsevier, vol. 90(1), pages 271-279.
  • Handle: RePEc:eee:appene:v:90:y:2012:i:1:p:271-279
    DOI: 10.1016/j.apenergy.2010.12.075
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    References listed on IDEAS

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    1. Rakopoulos, C.D. & Kosmadakis, G.M. & Pariotis, E.G., 2010. "Critical evaluation of current heat transfer models used in CFD in-cylinder engine simulations and establishment of a comprehensive wall-function formulation," Applied Energy, Elsevier, vol. 87(5), pages 1612-1630, May.
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    1. Fukang Ma & Changlu Zhao & Fujun Zhang & Zhenfeng Zhao & Shuanlu Zhang, 2015. "Effects of Scavenging System Configuration on In-Cylinder Air Flow Organization of an Opposed-Piston Two-Stroke Engine," Energies, MDPI, vol. 8(6), pages 1-19, June.
    2. Gnana Sagaya Raj, Antony Raj & Mallikarjuna, Jawali Maharudrappa & Ganesan, Venkitachalam, 2013. "Energy efficient piston configuration for effective air motion – A CFD study," Applied Energy, Elsevier, vol. 102(C), pages 347-354.
    3. Szwaja, Stanislaw & Jamrozik, Arkadiusz & Tutak, Wojciech, 2013. "A two-stage combustion system for burning lean gasoline mixtures in a stationary spark ignited engine," Applied Energy, Elsevier, vol. 105(C), pages 271-281.
    4. Ng, Hoon Kiat & Gan, Suyin & Ng, Jo-Han & Pang, Kar Mun, 2013. "Simulation of biodiesel combustion in a light-duty diesel engine using integrated compact biodiesel–diesel reaction mechanism," Applied Energy, Elsevier, vol. 102(C), pages 1275-1287.
    5. Tan, Shin Mei & Ng, Hoon Kiat & Gan, Suyin, 2013. "Computational study of crevice soot entrainment in a diesel engine," Applied Energy, Elsevier, vol. 102(C), pages 898-907.
    6. Zhao, Junfeng & Wang, Junmin, 2013. "Control-oriented multi-phase combustion model for biodiesel fueled engines," Applied Energy, Elsevier, vol. 108(C), pages 92-99.
    7. Zahra S. Musavi & Henrik Kusar & Robert Andersson & Klas Engvall, 2018. "Modelling and Optimization of a Small Diesel Burner for Mobile Applications," Energies, MDPI, vol. 11(11), pages 1-21, October.
    8. Edward Roper & Yaodong Wang & Zhichao Zhang, 2022. "Numerical Investigation of the Application of Miller Cycle and Low-Carbon Fuels to Increase Diesel Engine Efficiency and Reduce Emissions," Energies, MDPI, vol. 15(5), pages 1-20, February.
    9. Mohamed Ismail, Harun & Ng, Hoon Kiat & Gan, Suyin & Lucchini, Tommaso, 2013. "Computational study of biodiesel–diesel fuel blends on emission characteristics for a light-duty diesel engine using OpenFOAM," Applied Energy, Elsevier, vol. 111(C), pages 827-841.
    10. Mohamed Ismail, Harun & Ng, Hoon Kiat & Queck, Cheen Wei & Gan, Suyin, 2012. "Artificial neural networks modelling of engine-out responses for a light-duty diesel engine fuelled with biodiesel blends," Applied Energy, Elsevier, vol. 92(C), pages 769-777.
    11. Li, Yaopeng & Jia, Ming & Liu, Yaodong & Xie, Maozhao, 2013. "Numerical study on the combustion and emission characteristics of a methanol/diesel reactivity controlled compression ignition (RCCI) engine," Applied Energy, Elsevier, vol. 106(C), pages 184-197.
    12. Channapattana, S.V. & Pawar, Abhay A. & Kamble, Prashant G., 2017. "Optimisation of operating parameters of DI-CI engine fueled with second generation Bio-fuel and development of ANN based prediction model," Applied Energy, Elsevier, vol. 187(C), pages 84-95.
    13. Pang, Kar Mun & Ng, Hoon Kiat & Gan, Suyin, 2012. "In-cylinder diesel spray combustion simulations using parallel computation: A performance benchmarking study," Applied Energy, Elsevier, vol. 93(C), pages 466-478.

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