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Thermal Characteristics Investigation of the Internal Combustion Engine Cooling-Combustion System Using Thermal Boundary Dynamic Coupling Method and Experimental Verification

Author

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  • Junhong Zhang

    (State Key Laboratory of Engine, Tianjin University, Tianjin 300072, China
    Renai College, Tianjin University, Tianjin 301636, China)

  • Zhexuan Xu

    (State Key Laboratory of Engine, Tianjin University, Tianjin 300072, China)

  • Jiewei Lin

    (State Key Laboratory of Engine, Tianjin University, Tianjin 300072, China)

  • Zefeng Lin

    (State Key Laboratory of Engine, Tianjin University, Tianjin 300072, China)

  • Jingchao Wang

    (State Key Laboratory of Engine, Tianjin University, Tianjin 300072, China)

  • Tianshu Xu

    (State Key Laboratory of Engine, Tianjin University, Tianjin 300072, China)

Abstract

The engine cooling system must be able to match up with the stable operating conditions so as to guarantee the engine performance. On the working cycle level, however, the dynamic thermo-state of engines has not been considered in the cooling strategy. Besides, the frequent over-cooling boiling inside the gallery changes the cooling capacity constantly. It is necessary to study the coupling effect caused by the interaction of cooling flow and in-cylinder combustion so as to provide details of the dynamic control of cooling systems. To this end, this study develops a coupled modeling scheme of the cooling process considering the interaction of combustion and coolant flow. The global reaction mechanism is used for the combustion process and the multiphase flow method is employed to simulate the coolant flow considering the wall boiling and the interphase forces. The two sub-models exchange information of in-cylinder temperature, heat transfer coefficient, and wall temperature to achieve the coupled computation. The proposed modeling process is verified through the measured diesel engine power, in-cylinder pressure, and fire surface temperature of cylinder head. Then the effects of different cooling conditions on the cyclic engine performances are analyzed and discussed.

Suggested Citation

  • Junhong Zhang & Zhexuan Xu & Jiewei Lin & Zefeng Lin & Jingchao Wang & Tianshu Xu, 2018. "Thermal Characteristics Investigation of the Internal Combustion Engine Cooling-Combustion System Using Thermal Boundary Dynamic Coupling Method and Experimental Verification," Energies, MDPI, vol. 11(8), pages 1-20, August.
  • Handle: RePEc:gam:jeners:v:11:y:2018:i:8:p:2127-:d:163933
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    References listed on IDEAS

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    1. Castiglione, Teresa & Pizzonia, Francesco & Piccione, Rocco & Bova, Sergio, 2016. "Detecting the onset of nucleate boiling in internal combustion engines," Applied Energy, Elsevier, vol. 164(C), pages 332-340.
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    3. Tauzia, Xavier & Maiboom, Alain, 2013. "Experimental study of an automotive Diesel engine efficiency when running under stoichiometric conditions," Applied Energy, Elsevier, vol. 105(C), pages 116-124.
    4. Pizzonia, Francesco & Castiglione, Teresa & Bova, Sergio, 2016. "A Robust Model Predictive Control for efficient thermal management of internal combustion engines," Applied Energy, Elsevier, vol. 169(C), pages 555-566.
    5. Taymaz, Imdat, 2006. "An experimental study of energy balance in low heat rejection diesel engine," Energy, Elsevier, vol. 31(2), pages 364-371.
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    Cited by:

    1. Pengyu Lu & Qing Gao & Liang Lv & Xiaoye Xue & Yan Wang, 2019. "Numerical Calculation Method of Model Predictive Control for Integrated Vehicle Thermal Management Based on Underhood Coupling Thermal Transmission," Energies, MDPI, vol. 12(2), pages 1-27, January.
    2. Lei Yang & Guangtao Lu & Tao Wang, 2024. "Structure Improvement of Two-Cylinder Engine Cooling Water Jacket Based on Flow Field Simulation," Sustainability, MDPI, vol. 16(24), pages 1-20, December.
    3. Yuh-Yih Wu & James H. Wang & Faizan Mushtaq Mir, 2018. "Improving the Thermal Efficiency of the Homogeneous Charge Compression Ignition Engine by Using Various Combustion Patterns," Energies, MDPI, vol. 11(11), pages 1-20, November.
    4. Gequn Shu & Chen Hu & Hua Tian & Xiaoya Li & Zhigang Yu & Mingtao Wang, 2019. "Analysis and Optimization of Coupled Thermal Management Systems Used in Vehicles," Energies, MDPI, vol. 12(7), pages 1-17, April.
    5. Zhao, Xian & Dong, Bingbing & Wang, Xiaoyue, 2023. "Reliability analysis of a two-dimensional voting system equipped with protective devices considering triggering failures," Reliability Engineering and System Safety, Elsevier, vol. 232(C).

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