IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i13p4947-d1179437.html
   My bibliography  Save this article

A One-Dimensional Numerical Model for High-Performance Two-Stroke Engines

Author

Listed:
  • Fernando Ortenzi

    (ENEA—Italian Agency for New Technologies, Energy and Sustainable Economic Development, 00123 Rome, Italy)

  • Andrea Bossaglia

    (IAME Karting, 24040 Zingonia di Verdellino, Italy)

Abstract

Computer software that simulates the thermodynamic and gas dynamic properties of internal combustion engines can play a significant role in the design and optimization of internal combustion engines. In the present work, a quasi-dimensional numerical model for two-stroke engines is presented. Particular attention was paid to reporting in-cylinder models, combustion (turbulent with flame development and flame–wall interaction), and turbulence ( K-k- ϵ model), with the addition of tumble- and squish-generated turbulence that is quite common in such engines. The aim was to reduce the role of the calibration constants, which are fundamental for correlating the models with the experiments, and relations for calculating the tumble ratio and turbulent scales were reported. A one-dimensional model for manifolds is also presented (solving the Euler equations), using the second-order Roe Riemann solver with some improvements, paying particular attention to the source terms, such as area variation. Additionally, a new approach to the end-pipe boundaries, which would reduce the mass conservation error, is reported. The engines tested were two kart two-stroke engines, used for racing purposes: the IAME X30 engine and the IAME Screamer III KZ engine. A comparison between the model results and the experimental data was made, and good accordance was observed, with a root mean square error of about 0.5 kW and providing good accuracy in evaluating changes, such as the combustion chamber squish area and the exhaust pipe length.

Suggested Citation

  • Fernando Ortenzi & Andrea Bossaglia, 2023. "A One-Dimensional Numerical Model for High-Performance Two-Stroke Engines," Energies, MDPI, vol. 16(13), pages 1-24, June.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:13:p:4947-:d:1179437
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/13/4947/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/16/13/4947/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Krishna, Addepalli S. & Mallikarjuna, J.M. & Kumar, Davinder, 2016. "Effect of engine parameters on in-cylinder flows in a two-stroke gasoline direct injection engine," Applied Energy, Elsevier, vol. 176(C), pages 282-294.
    2. Vancoillie, J. & Sileghem, L. & Verhelst, S., 2014. "Development and validation of a quasi-dimensional model for methanol and ethanol fueled SI engines," Applied Energy, Elsevier, vol. 132(C), pages 412-425.
    3. Kim, Myoungsoo & Kim, Yirop & Kim, Joohan & Song, Han Ho, 2019. "Development of quasi-dimensional turbulence model for spark-ignition engine with physical analysis of tumble: Energy-based tumble model focusing on energy intake and turbulence production," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    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. Jana Hoffmann & Niklas Mirsch & Walter Vera-Tudela & Dario Wüthrich & Jorim Rosenberg & Marco Günther & Stefan Pischinger & Daniel A. Weiss & Kai Herrmann, 2023. "Flow Field Investigation of a Single Engine Valve Using PIV, POD, and LES," Energies, MDPI, vol. 16(5), pages 1-31, March.
    2. Fan, Baowei & Pan, Jianfeng & Yang, Wenming & Chen, Wei & Bani, Stephen, 2017. "The influence of injection strategy on mixture formation and combustion process in a direct injection natural gas rotary engine," Applied Energy, Elsevier, vol. 187(C), pages 663-674.
    3. Wang, Xin & Ge, Yunshan & Zhang, Chuanzhen & Tan, Jianwei & Hao, Lijun & Liu, Jia & Gong, Huiming, 2016. "Effects of engine misfire on regulated, unregulated emissions from a methanol-fueled vehicle and its ozone forming potential," Applied Energy, Elsevier, vol. 177(C), pages 187-195.
    4. Sheng Su & Yunshan Ge & Xin Wang & Mengzhu Zhang & Lijun Hao & Jianwei Tan & Fulu Shi & Dongdong Guo & Zhengjun Yang, 2020. "Evaluating the In-Service Emissions of High-Mileage Dedicated Methanol-Fueled Passenger Cars: Regulated and Unregulated Emissions," Energies, MDPI, vol. 13(11), pages 1-15, May.
    5. Wang, Xin & Ge, Yunshan & Liu, Linlin & Peng, Zihang & Hao, Lijun & Yin, Hang & Ding, Yan & Wang, Junfang, 2015. "Evaluation on toxic reduction and fuel economy of a gasoline direct injection- (GDI-) powered passenger car fueled with methanol–gasoline blends with various substitution ratios," Applied Energy, Elsevier, vol. 157(C), pages 134-143.
    6. Duan, Xiongbo & Li, Yangyang & Liu, Jingping & Guo, Genmiao & Fu, Jianqin & Zhang, Quanchang & Zhang, Shiheng & Liu, Weiqiang, 2019. "Experimental study the effects of various compression ratios and spark timing on performance and emission of a lean-burn heavy-duty spark ignition engine fueled with methane gas and hydrogen blends," Energy, Elsevier, vol. 169(C), pages 558-571.
    7. d'Adamo, Alessandro & Breda, Sebastiano & Fontanesi, Stefano & Irimescu, Adrian & Merola, Simona Silvia & Tornatore, Cinzia, 2017. "A RANS knock model to predict the statistical occurrence of engine knock," Applied Energy, Elsevier, vol. 191(C), pages 251-263.
    8. Fukang Ma & Lei Zhang & Tiexiong Su, 2018. "Simulation Modeling and Optimization of Uniflow Scavenging System Parameters on Opposed-Piston Two-Stroke Engines," Energies, MDPI, vol. 11(4), pages 1-15, April.
    9. Homeyra Piri & Massimiliano Renzi & Marco Bietresato, 2023. "Technical Implications of the Use of Biofuels in Agricultural and Industrial Compression-Ignition Engines with a Special Focus on the Interactions with (Bio)lubricants," Energies, MDPI, vol. 17(1), pages 1-45, December.
    10. Ji, Changwei & Yang, Jinxin & Liu, Xiaolong & Wang, Shuofeng & Zhang, Bo & Wang, Du, 2016. "Enhancing the fuel economy and emissions performance of a gasoline engine-powered vehicle with idle elimination and hydrogen start," Applied Energy, Elsevier, vol. 182(C), pages 135-144.
    11. Çelebi, Samet & Kocakulak, Tolga & Demir, Usame & Ergen, Gökhan & Yilmaz, Emre, 2023. "Optimizing the effect of a mixture of light naphtha, diesel and gasoline fuels on engine performance and emission values on an HCCI engine," Applied Energy, Elsevier, vol. 330(PB).
    12. d'Adamo, A. & Breda, S. & Berni, F. & Fontanesi, S., 2019. "The potential of statistical RANS to predict knock tendency: Comparison with LES and experiments on a spark-ignition engine," Applied Energy, Elsevier, vol. 249(C), pages 126-142.
    13. Recep Çağrı Orman, 2023. "Effect of Adding Hexagonal Boron Nitride (hBN) Nano-Powder to Lubricant on Performance and Emissions in a Two-Stroke Gasoline Engine," Sustainability, MDPI, vol. 15(19), pages 1-17, October.
    14. Kim, Myoungsoo & Kim, Yirop & Kim, Joohan & Song, Han Ho, 2019. "Development of quasi-dimensional turbulence model for spark-ignition engine with physical analysis of tumble: Energy-based tumble model focusing on energy intake and turbulence production," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    15. Xu, Zheng & Ji, Fenzhu & Ding, Shuiting & Zhao, Yunhai & Zhang, Xiangbo & Zhou, Yu & Zhang, Qi & Du, Farong, 2020. "High-altitude performance and improvement methods of poppet valves 2-stroke aircraft diesel engine," Applied Energy, Elsevier, vol. 276(C).
    16. Teodosio, Luigi & Pirrello, Dino & Berni, Fabio & De Bellis, Vincenzo & Lanzafame, Rosario & D'Adamo, Alessandro, 2018. "Impact of intake valve strategies on fuel consumption and knock tendency of a spark ignition engine," Applied Energy, Elsevier, vol. 216(C), pages 91-104.
    17. Gong, Changming & Li, Zhaohui & Sun, Jingzhen & Liu, Fenghua, 2020. "Evaluation on combustion and lean-burn limitof a medium compression ratio hydrogen/methanol dual-injection spark-ignition engine under methanol late-injection," Applied Energy, Elsevier, vol. 277(C).
    18. Gong, Changming & Zhang, Zilei & Sun, Jingzhen & Chen, Yulin & Liu, Fenghua, 2020. "Computational study of nozzle spray-line distribution effects on stratified mixture formation, combustion and emissions of a high compression ratio DISI methanol engine under lean-burn condition," Energy, Elsevier, vol. 205(C).
    19. Fu-Kang Ma & Jun Wang & Yao-Nan Feng & Yan-Gang Zhang & Tie-Xiong Su & Yi Zhang & Yu-Hang Liu, 2017. "Parameter Optimization on the Uniflow Scavenging System of an OP2S-GDI Engine Based on Indicated Mean Effective Pressure (IMEP)," Energies, MDPI, vol. 10(3), pages 1-20, March.
    20. Irimescu, Adrian & Merola, Simona Silvia & Valentino, Gerardo, 2016. "Application of an entrainment turbulent combustion model with validation based on the distribution of chemical species in an optical spark ignition engine," Applied Energy, Elsevier, vol. 162(C), pages 908-923.

    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:gam:jeners:v:16:y:2023:i:13:p:4947-:d:1179437. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.