IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v112y2016icp494-508.html
   My bibliography  Save this article

Innovative 0D transient momentum based spray model for real-time simulations of CI engines

Author

Listed:
  • Katrašnik, Tomaž

Abstract

The paper presents an innovative mechanistically based spray model intended for use in mixture-controlled-combustion models. The primary objective of the spray model is to predict masses of fuel within selected limits of excess air ratios during and after the end of injection. The model is based on a 0D non-vaporizing and non-reacting modelling framework to ensure short computational times. These assumptions represent clear simplifications compared to the real transient spray propagation phenomena in reacting turbulent flows. However, from the study, it is concluded that the modelling framework is capable of attaining an adequate level of predictability for system-level applications. The model is capable of predicting spray detachment from the nozzle after the end of injection. This feature is crucial for plausible prediction of masses within selected excess air ratios. The spray model is also capable of determining the fuel mass reaching the wall. In addition, the spray modelling framework is capable of considering injection rate-shaping and evaluating its impact on predicted masses of fuel within selected limits of excess air ratios. The spray model is successfully validated against experimental data for varying injection parameters and ambient densities, demonstrating its reliability and applicability.

Suggested Citation

  • Katrašnik, Tomaž, 2016. "Innovative 0D transient momentum based spray model for real-time simulations of CI engines," Energy, Elsevier, vol. 112(C), pages 494-508.
    • Handle: RePEc:eee:energy:v:112:y:2016:i:c:p:494-508
    DOI: 10.1016/j.energy.2016.06.101
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544216308751
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2016.06.101?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Maroteaux, Fadila & Saad, Charbel, 2015. "Combined mean value engine model and crank angle resolved in-cylinder modeling with NOx emissions model for real-time Diesel engine simulations at high engine speed," Energy, Elsevier, vol. 88(C), pages 515-527.
    2. Xiao, Gang & Jia, Ming & Wang, Tianyou, 2016. "Large eddy simulation of n-heptane spray combustion in partially premixed combustion regime with linear eddy model," Energy, Elsevier, vol. 97(C), pages 20-35.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jingrui Li & Jietuo Wang & Teng Liu & Jingjin Dong & Bo Liu & Chaohui Wu & Ying Ye & Hu Wang & Haifeng Liu, 2019. "An Investigation of the Influence of Gas Injection Rate Shape on High-Pressure Direct-Injection Natural Gas Marine Engines," Energies, MDPI, vol. 12(13), pages 1-18, July.
    2. Di Battista, D. & Cipollone, R., 2016. "Experimental and numerical assessment of methods to reduce warm up time of engine lubricant oil," Applied Energy, Elsevier, vol. 162(C), pages 570-580.
    3. Li, Yuqiang & Huang, Long & Chen, Yong & Tang, Wei, 2024. "Stratified premixed combustion optimization of a natural gas/biodiesel dual direct injection engine," Energy, Elsevier, vol. 294(C).
    4. Bo Liu & Fuwu Yan & Jie Hu & Richard Fiifi Turkson & Feng Lin, 2016. "Modeling and Multi-Objective Optimization of NO x Conversion Efficiency and NH 3 Slip for a Diesel Engine," Sustainability, MDPI, vol. 8(5), pages 1-13, May.
    5. Wan, Peng & Liu, Bolan & Li, Ben & Liu, Fanshuo & Zhang, Junwei & Fan, Wenhao & Tang, Jingxian, 2023. "Engine modelling architecture study for hybrid electric vehicle diagnosis application," Energy, Elsevier, vol. 282(C).
    6. Tang, Yuanyuan & Zhang, Jundong & Gan, Huibing & Jia, Baozhu & Xia, Yu, 2017. "Development of a real-time two-stroke marine diesel engine model with in-cylinder pressure prediction capability," Applied Energy, Elsevier, vol. 194(C), pages 55-70.
    7. Katrašnik, Tomaž, 2016. "An advanced real-time capable mixture controlled combustion model," Energy, Elsevier, vol. 95(C), pages 393-403.
    8. Eunhee Ko & Jungsoo Park, 2019. "Diesel Mean Value Engine Modeling Based on Thermodynamic Cycle Simulation Using Artificial Neural Network," Energies, MDPI, vol. 12(14), pages 1-17, July.
    9. Huabing Wen & Yue Yu & Jingrui Li & Changchun Xu & Haiguo Jing & Jianhua Shen, 2023. "Numerical Investigation on the Influence of Injection Location and Injection Strategy on a High-Pressure Direct Injection Diesel/Methanol Dual-Fuel Engine," Energies, MDPI, vol. 16(11), pages 1-26, June.
    10. Myung, Cha-Lee & Jang, Wonwook & Kwon, Sangil & Ko, Jinyoung & Jin, Dongyoung & Park, Simsoo, 2017. "Evaluation of the real-time de-NOx performance characteristics of a LNT-equipped Euro-6 diesel passenger car with various vehicle emissions certification cycles," Energy, Elsevier, vol. 132(C), pages 356-369.
    11. Yuanfeng Wang, 2020. "A Novel Two-Zone Thermodynamic Model for Spark-Ignition Engines Based on an Idealized Thermodynamic Process," Energies, MDPI, vol. 13(15), pages 1-27, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:112:y:2016:i:c:p:494-508. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.