IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v273y2023ics0360544223005418.html
   My bibliography  Save this article

Investigation of intake closing timing on the flow field and combustion process in a small-scaled Wankel rotary engine under various engine speeds designed for the UAV application

Author

Listed:
  • Yang, Jinxin
  • Wang, Huaiyu
  • Ji, Changwei
  • Chang, Ke
  • Wang, Shuofeng

Abstract

This paper aims to reveal the effect of intake closing timing, and engine speed on the flow field, flame propagation, combustion characteristics, and emissions formations of a small-scaled side ported hydrogen-fueled Wankel rotary engine. For this reason, a three-dimensional dynamic simulation model was established using a reasonable turbulent model coupled with a kinetic reaction mechanism and validated by the experimental data. Simulation results show that an earlier intake closing timing increases the volumetric efficiency and increases intake loss. The increasing speed improves the volumetric efficiency while causing a higher intake loss. There are two peaks of the turbulence kinetic energy during the intake stroke. The first one is caused by the airflow hitting the wall, and the other is due to the backflow. During the flame development period, due to the strong unidirectional flow in the combustion chamber, which is not conducive to flame propagation backward. This phenomenon is more pronounced at higher engine speeds, resulting in a merged flame front not exceeding the trailing spark plug. The lean combustion leads to a lower in-cylinder combustion temperature, deteriorating the NOx generation environment. This paper provides a feasible method for matching the operating conditions and intake system.

Suggested Citation

  • Yang, Jinxin & Wang, Huaiyu & Ji, Changwei & Chang, Ke & Wang, Shuofeng, 2023. "Investigation of intake closing timing on the flow field and combustion process in a small-scaled Wankel rotary engine under various engine speeds designed for the UAV application," Energy, Elsevier, vol. 273(C).
  • Handle: RePEc:eee:energy:v:273:y:2023:i:c:s0360544223005418
    DOI: 10.1016/j.energy.2023.127147
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544223005418
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2023.127147?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. Wang, Huaiyu & Ji, Changwei & Shi, Cheng & Yang, Jinxin & Wang, Shuofeng & Ge, Yunshan & Chang, Ke & Meng, Hao & Wang, Xin, 2023. "Multi-objective optimization of a hydrogen-fueled Wankel rotary engine based on machine learning and genetic algorithm," Energy, Elsevier, vol. 263(PD).
    2. Wang, Huaiyu & Ji, Changwei & Yang, Jinxin & Wang, Shuofeng & Ge, Yunshan, 2022. "Towards a comprehensive optimization of the intake characteristics for side ported Wankel rotary engines by coupling machine learning with genetic algorithm," Energy, Elsevier, vol. 261(PB).
    3. Shi, Cheng & Chai, Sen & Di, Liming & Ji, Changwei & Ge, Yunshan & Wang, Huaiyu, 2023. "Combined experimental-numerical analysis of hydrogen as a combustion enhancer applied to wankel engine," Energy, Elsevier, vol. 263(PC).
    4. Wang, Huaiyu & Ji, Changwei & Shi, Cheng & Ge, Yunshan & Meng, Hao & Yang, Jinxin & Chang, Ke & Wang, Shuofeng, 2022. "Comparison and evaluation of advanced machine learning methods for performance and emissions prediction of a gasoline Wankel rotary engine," Energy, Elsevier, vol. 248(C).
    5. Yang, Jinxin & Ji, Changwei & Wang, Shuofeng & Wang, Du & Ma, Zedong & Zhang, Boya, 2018. "Numerical investigation on the mixture formation and combustion processes of a gasoline rotary engine with direct injected hydrogen enrichment," Applied Energy, Elsevier, vol. 224(C), pages 34-41.
    6. 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).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Fan, Baowei & Song, Anqi & Liu, Weikang & Jiang, Pengfei & Xu, Linxun & Pan, Jianfeng & Zhang, Yi, 2024. "Potential improvement in combustion performance of a natural gas rotary engine mixed with hydrogen by novel bluff-body," Energy, Elsevier, vol. 295(C).

    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. Wang, Huaiyu & Ji, Changwei & Wang, Du & Wang, Zhe & Yang, Jinxin & Meng, Hao & Shi, Cheng & Wang, Shuofeng & Wang, Xin & Ge, Yunshan & Yang, Wenming, 2023. "Investigation on the potential of using carbon-free ammonia and hydrogen in small-scaled Wankel rotary engines," Energy, Elsevier, vol. 283(C).
    2. Bo Zhang & Huaiyu Wang & Shuofeng Wang, 2023. "Computational Investigation of Combustion, Performance, and Emissions of a Diesel-Hydrogen Dual-Fuel Engine," Sustainability, MDPI, vol. 15(4), pages 1-15, February.
    3. Wang, Huaiyu & Ji, Changwei & Shi, Cheng & Yang, Jinxin & Wang, Shuofeng & Ge, Yunshan & Chang, Ke & Meng, Hao & Wang, Xin, 2023. "Multi-objective optimization of a hydrogen-fueled Wankel rotary engine based on machine learning and genetic algorithm," Energy, Elsevier, vol. 263(PD).
    4. Wang, Chongyao & Wang, Xin & Wang, Huaiyu & Xu, Yonghong & Ge, Yunshan & Tan, Jianwei & Hao, Lijun & Wang, Yachao & Zhang, Mengzhu & Li, Ruonan, 2024. "Co-optimizing NOx emission and power output of a natural gas engine-ORC combined system through neural networks and genetic algorithms," Energy, Elsevier, vol. 289(C).
    5. Chang, Ke & Ji, Changwei & Wang, Shuofeng & Yang, Jinxin & Wang, Huaiyu & Xin, Gu & Meng, Hao, 2022. "Numerical investigation of the combined effect of injection angle and injection pressure in a gasoline direct injection rotary engine," Energy, Elsevier, vol. 254(PB).
    6. Shi, Cheng & Zhang, Zheng & Wang, Huaiyu & Wang, Jingyi & Cheng, Tengfei & Zhang, Liang, 2024. "Parametric analysis and optimization of the combustion process and pollutant performance for ammonia-diesel dual-fuel engines," Energy, Elsevier, vol. 296(C).
    7. Shi, Ting & Wang, Huaiyu & Yang, Wenming & Peng, Xueyuan, 2024. "Mathematical modeling and optimization of gas foil bearings-rotor system in hydrogen fuel cell vehicles," Energy, Elsevier, vol. 290(C).
    8. Gong, Changming & Li, Dong & Liu, Jiajun & Liu, Fenghua, 2024. "Computational study of excess air ratio impacts on performances of a spark-ignition H2/methanol dual-injection engine," Energy, Elsevier, vol. 289(C).
    9. Zhu, Yizi & He, Zhixia & Xuan, Tiemin & Shao, Zhuang, 2024. "An enhanced automated machine learning model for optimizing cycle-to-cycle variation in hydrogen-enriched methanol engines," Applied Energy, Elsevier, vol. 362(C).
    10. Farhan, Muhammad & Chen, Tianhao & Rao, Anas & Shahid, Muhammad Ihsan & Xiao, Qiuhong & Liu, Yongzheng & Ma, Fanhua, 2024. "Performance, emissions and combustion analysis of hydrogen-enriched compressed natural gas spark ignition engine by optimized Gaussian process regression and neural network at low speed on different l," Energy, Elsevier, vol. 302(C).
    11. Jiao, Huichao & Ye, Xianlei & Zou, Run & Wang, Nana & Liu, Jinxiang, 2022. "Comparative study on ignition and combustion between conventional spark-ignition method and near-wall surface ignition method for small-scale Wankel rotary engine," Energy, Elsevier, vol. 255(C).
    12. Shi, Cheng & Chai, Sen & Di, Liming & Ji, Changwei & Ge, Yunshan & Wang, Huaiyu, 2023. "Combined experimental-numerical analysis of hydrogen as a combustion enhancer applied to wankel engine," Energy, Elsevier, vol. 263(PC).
    13. Chang, Ke & Ji, Changwei & Wang, Shuofeng & Yang, Jinxin & Wang, Huaiyu & Meng, Hao & Liu, Dianqing, 2023. "Numerical investigation of the synchronous and asynchronous changes of ignition timing in a double spark plugs direct injection rotary engine," Energy, Elsevier, vol. 268(C).
    14. Gong, Changming & Li, Dong & Liu, Jiajun & Liu, Fenghua, 2024. "Numerical evaluation of ignition timing influences on performance of a stratified-charge H2/methanol dual-injection automobile engine under lean-burn condition," Energy, Elsevier, vol. 290(C).
    15. Liming Di & Zhuogang Sun & Fuxiang Zhi & Tao Wan & Qixin Yang, 2023. "Assessment of an Optimal Design Method for a High-Energy Ultrasonic Igniter Based on Multi-Objective Robustness Optimization," Sustainability, MDPI, vol. 15(3), pages 1-19, January.
    16. Hai, Tao & Hussein Kadir, Dler & Ghanbari, Afshin, 2023. "Modeling the emission characteristics of the hydrogen-enriched natural gas engines by multi-output least-squares support vector regression: Comprehensive statistical and operating analyses," Energy, Elsevier, vol. 276(C).
    17. Meng, Qinglong & Wei, Ying'an & Fan, Jingjing & Li, Yanbo & Zhao, Fan & Lei, Yu & Sun, Hang & Jiang, Le & Yu, Lingli, 2024. "Peak regulation strategies for ground source heat pump demand response of based on load forecasting: A case study of rural building in China," Renewable Energy, Elsevier, vol. 224(C).
    18. Rong Huang & Jimin Ni & Pengli Qiao & Qiwei Wang & Xiuyong Shi & Qi Yin, 2023. "An Explainable Prediction Model for Aerodynamic Noise of an Engine Turbocharger Compressor Using an Ensemble Learning and Shapley Additive Explanations Approach," Sustainability, MDPI, vol. 15(18), pages 1-22, September.
    19. Kim, Joonsuk & Chun, Kwang Min & Song, Soonho & Baek, Hong-Kil & Lee, Seung Woo, 2018. "Hydrogen effects on the combustion stability, performance and emissions of a turbo gasoline direct injection engine in various air/fuel ratios," Applied Energy, Elsevier, vol. 228(C), pages 1353-1361.
    20. Yin, Xiaojun & Sun, Nannan & Sun, Ting & Shen, Hongguang & Mehra, Roopesh Kumar & Liu, Junlong & Wang, Ying & Yang, Bo & Zeng, Ke, 2022. "Experimental investigation the effects of spark discharge characteristics on the heavy-duty spark ignition natural gas engine at low load condition," Energy, Elsevier, vol. 239(PC).

    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:273:y:2023:i:c:s0360544223005418. 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.