IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v290y2024ics036054422400104x.html
   My bibliography  Save this article

CFD and Taguchi based optimization of air driven single stage partial admission axial turbine blade profiles

Author

Listed:
  • Zengin, İbrahim
  • Erdoğan, Beytullah
  • Benim, Ali Cemal

Abstract

Single-stage axial flow turbines are typically used in underground mining machines and underwater vehicles due to their safety and small size. However, the high-pressure ratio and small mass flow rates force the flow inside the turbine to be supersonic. The blade design of such turbines with high-flow velocity leads to high losses and low turbine efficiencies at conventional design values. In this paper, the 1D design of the turbine is carried out using the meanline design method. The results of the design algorithm are compared with both experimental, CFD (Computational Fluid Dynamics), and a well-known commercial software AxSTREAM. After validating the design, Taguchi method is used to analyze 6 different parameters (Blade Shape, Nozzle Shape, Cord Length, Solidity Ratio, Nozzle Angle and Blade Thickness) affecting the turbine performance and the optimum blade profile is compared with the conventional blade design. The optimum design isentropic efficiency (68.267%) outperformed the conventional design turbine isentropic efficiency (61.759%) by about 11%. This paper provides a different insight into the conventional turbine design method.

Suggested Citation

  • Zengin, İbrahim & Erdoğan, Beytullah & Benim, Ali Cemal, 2024. "CFD and Taguchi based optimization of air driven single stage partial admission axial turbine blade profiles," Energy, Elsevier, vol. 290(C).
    • Handle: RePEc:eee:energy:v:290:y:2024:i:c:s036054422400104x
    DOI: 10.1016/j.energy.2024.130333
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S036054422400104X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2024.130333?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. Zhang, Jianan & Qin, Kan & Li, Daijin & Luo, Kai & Dang, Jianjun, 2020. "Potential of Organic Rankine Cycles for Unmanned Underwater Vehicles," Energy, Elsevier, vol. 192(C).
    2. Peng, Ningjian & Wang, Enhua & Wang, Wenli, 2023. "Design and analysis of a 1.5 kW single-stage partial-admission impulse turbine for low-grade energy utilization," Energy, Elsevier, vol. 268(C).
    3. Zhang, Tiantian & Yan, Xiaoting & Huang, Wei & Che, Xueke & Wang, Zhenguo, 2021. "Multidisciplinary design optimization of a wide speed range vehicle with waveride airframe and RBCC engine," Energy, Elsevier, vol. 235(C).
    4. Hanwei Wang & Yue Chao & Tian Tang & Kai Luo & Kan Qin, 2021. "A Comparison of Partial Admission Axial and Radial Inflow Turbines for Underwater Vehicles," Energies, MDPI, vol. 14(5), pages 1-20, March.
    5. Qin, Kan & Wang, Hanwei & Qi, Jianhui & Sun, Junliang & Luo, Kai, 2022. "Aerodynamic design and experimental validation of high pressure ratio partial admission axial impulse turbines for unmanned underwater vehicles," Energy, Elsevier, vol. 239(PD).
    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. Qin, Kan & Wang, Hanwei & Qi, Jianhui & Sun, Junliang & Luo, Kai, 2022. "Aerodynamic design and experimental validation of high pressure ratio partial admission axial impulse turbines for unmanned underwater vehicles," Energy, Elsevier, vol. 239(PD).
    2. Wang, Hanwei & Luo, Kai & Huang, Chuang & Zou, Aihong & Li, Daijin & Qin, Kan, 2022. "Numerical investigation of partial admission losses in radial inflow turbines," Energy, Elsevier, vol. 239(PA).
    3. Enhua Wang & Ningjian Peng, 2023. "A Review on the Preliminary Design of Axial and Radial Turbines for Small-Scale Organic Rankine Cycle," Energies, MDPI, vol. 16(8), pages 1-20, April.
    4. Luo, Qiaodan & Zhao, Shengfeng & Zhou, Shiji & Yao, Lipan & Yang, Chengwu & Lu, Xingen & Zhu, Junqiang, 2024. "Influence of diversified dihedral stator on the thermodynamic performance and flow loss characteristics of a variable core driven fan stage," Energy, Elsevier, vol. 294(C).
    5. Dang, Chaolei & Cheng, Kunlin & Fan, Junhao & Wang, Yilin & Qin, Jiang & Liu, Guodong, 2023. "Performance analysis of fuel vapor turbine and closed-Brayton-cycle combined power generation system for hypersonic vehicles," Energy, Elsevier, vol. 266(C).
    6. Chen, Jikai & Sun, Mingbo & Li, Peibo & An, Bin & Jiaoru, Wang & Li, Menglei, 2024. "Effects of excess oxidizer coefficient on RBCC engine performance in ejector mode: A theoretical investigation," Energy, Elsevier, vol. 289(C).
    7. Cheng, Kunlin & Xu, Jing & Dang, Chaolei & Qin, Jiang & Jing, Wuxing, 2022. "Performance evaluation of fuel indirect cooling based thermal management system using liquid metal for hydrocarbon-fueled scramjet," Energy, Elsevier, vol. 260(C).
    8. Dariusz Kozak & Paweł Mazuro, 2023. "Numerical Analysis of Two-Stage Turbine System for Multicylinder Engine under Pulse Flow Conditions with High Pressure-Ratio Turbine Rotor," Energies, MDPI, vol. 16(2), pages 1-46, January.
    9. 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).
    10. Hsieh, Jui-Ching & Lai, Chun-Chieh & Chen, Yen-Hsun, 2022. "Thermoeconomic analysis of a waste heat recovery system with fluctuating flue gas scenario," Energy, Elsevier, vol. 258(C).
    11. Nie, Xianhua & Xue, Juan & Zhao, Li & Deng, Shuai & Xiong, Hanping, 2024. "New insight of thermodynamic cycle in thermoelectric power generation analyses: Literature review and perspectives," Energy, Elsevier, vol. 292(C).
    12. Peng, Ningjian & Wang, Enhua & Wang, Wenli, 2023. "Design and analysis of a 1.5 kW single-stage partial-admission impulse turbine for low-grade energy utilization," Energy, Elsevier, vol. 268(C).

    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:290:y:2024:i:c:s036054422400104x. 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.