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A zero-dimensional model to simulate injection rate from first generation common rail diesel injectors under thermodynamic diagnosis

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  • Soriano, J.A.
  • Mata, C.
  • Armas, O.
  • Ávila, C.

Abstract

The injection rate curve is an important input parameter in the thermodynamic diagnosis and in the predictive models, and it can also be used to simulate fuel sprays under different operating conditions. In this work, a zero-dimensional fuel injection rate model is proposed from experimental data obtained from a common-rail injection system with two solenoid-operated injectors. The model proposed is a useful tool when the internal component's dimensions of the injector are unknown. The presented model only requires the injection pressure, the injector energization signal, the total fuel mass consumed per stroke, the geometry and the holes number of the fuel injector and, finally, some physical properties of fuel. The model has been applied to two different solenoid-operated injectors and two fuels. The comparative results between the experimental and the modelled fuel injection rate show excellent results despite the simplicity of the experimental data requirements. The effects of the introduction of the modelled and measured fuel injection rate in a thermodynamic diagnostic tool are shown. This proposed model can be a useful, simple and alternative tool for estimating rates of injection without the need to carry out a test of the rate of injection.

Suggested Citation

  • Soriano, J.A. & Mata, C. & Armas, O. & Ávila, C., 2018. "A zero-dimensional model to simulate injection rate from first generation common rail diesel injectors under thermodynamic diagnosis," Energy, Elsevier, vol. 158(C), pages 845-858.
  • Handle: RePEc:eee:energy:v:158:y:2018:i:c:p:845-858
    DOI: 10.1016/j.energy.2018.06.054
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    References listed on IDEAS

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    1. Plamondon, E. & Seers, P., 2014. "Development of a simplified dynamic model for a piezoelectric injector using multiple injection strategies with biodiesel/diesel-fuel blends," Applied Energy, Elsevier, vol. 131(C), pages 411-424.
    2. Sajjad, H. & Masjuki, H.H. & Varman, M. & Kalam, M.A. & Arbab, M.I. & Imtenan, S. & Rahman, S.M. Ashrafur, 2014. "Engine combustion, performance and emission characteristics of gas to liquid (GTL) fuels and its blends with diesel and bio-diesel," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 961-986.
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    Citations

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    Cited by:

    1. Yao Fu & Liyan Feng & Hua Tian & Wuqiang Long & Dongsheng Dong & Xianyin Leng, 2018. "Visualization Investigation of the Influence of Chamber Profile and Injection Parameters on Fuel Spray Spreading in a Double-Layer Diverging Combustion Chamber for a DI Diesel Engine," Energies, MDPI, vol. 11(9), pages 1-16, September.
    2. Cheng, Kunlin & Qin, Jiang & Sun, Hongchuang & Li, Heng & He, Shuai & Zhang, Silong & Bao, Wen, 2019. "Power optimization and comparison between simple recuperated and recompressing supercritical carbon dioxide Closed-Brayton-Cycle with finite cold source on hypersonic vehicles," Energy, Elsevier, vol. 181(C), pages 1189-1201.
    3. Luka Lešnik & Breda Kegl & Eloísa Torres-Jiménez & Fernando Cruz-Peragón & Carmen Mata & Ignacijo Biluš, 2021. "Effect of the In-Cylinder Back Pressure on the Injection Process and Fuel Flow Characteristics in a Common-Rail Diesel Injector Using GTL Fuel," Energies, MDPI, vol. 14(2), pages 1-21, January.
    4. Soriano, J.A. & García-Contreras, R. & Gómez, A. & Mata, C., 2019. "Comparative study of the effect of a new renewable paraffinic fuel on the combustion process of a light-duty diesel engine," Energy, Elsevier, vol. 189(C).
    5. Samir Ezzitouni & Pablo Fernández-Yáñez & Luis Sánchez Rodríguez & Octavio Armas & Javier de las Morenas & Eduard Massaguer & Albert Massaguer, 2021. "Electrical Modelling and Mismatch Effects of Thermoelectric Modules on Performance of a Thermoelectric Generator for Energy Recovery in Diesel Exhaust Systems," Energies, MDPI, vol. 14(11), pages 1-15, May.
    6. Carmen Mata & Jakub Piaszyk & José Antonio Soriano & José Martín Herreros & Athanasios Tsolakis & Karl Dearn, 2020. "Impact of Alternative Paraffinic Fuels on the Durability of a Modern Common Rail Injection System," Energies, MDPI, vol. 13(16), pages 1-14, August.
    7. Liu, Bingxin & Fei, Hongzi & Wang, Liuping & Fan, Liyun & Yang, Xiaotao, 2024. "Real-time estimation of fuel injection rate and injection volume in high-pressure common rail systems," Energy, Elsevier, vol. 298(C).

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