IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v103y2013icp116-127.html
   My bibliography  Save this article

Characterization of a radial turbocharger turbine in pulsating flow by means of CFD and its application to engine modeling

Author

Listed:
  • Galindo, J.
  • Fajardo, P.
  • Navarro, R.
  • García-Cuevas, L.M.

Abstract

This paper presents a numerical study analyzing the effect of pulsating flow in a variable geometry radial inflow turbine. The turbine behavior is analyzed under isentropic pulses, which are similar to those created by a rotating disk in a turbocharger test rig. Three different pulse frequencies (50, 90 and 130Hz) and two pulse amplitudes (100 and 180kPa) were considered. Turbine flow was studied throughout the pressure pulsation cycles in a wide range of off-design operating conditions, from low pressure ratio flow detachment to high pressure ratio choked flow. An overall analysis of the phasing of instantaneous mass flow and pressure ratio was first performed and the results show the non-quasi-steady behavior of the turbine as a whole as described in the literature. However, the analysis of the flow in the different turbine components independently gives a different picture. As the turbine volute has greater length and volume than the other components, it is the main source of non-quasi-steadiness of the turbine. The stator nozzles cause fewer accumulation effects than the volute, but present a small degree of hysteretic behavior due to flow separation and reattachment cycle around the vanes. Finally, the flow in the moving rotor behaves as quasi-steady, as far as flow capacity is concerned, although the momentum transfer between exhaust gas and blades (and thus work production and thermal efficiency) is affected by a hysteretic cycle against pressure ratio, but not if blade speed ratio is considered instead. A simple model to simulate the turbine stator and rotor is proposed, based on the results obtained from the CFD computations.

Suggested Citation

  • Galindo, J. & Fajardo, P. & Navarro, R. & García-Cuevas, L.M., 2013. "Characterization of a radial turbocharger turbine in pulsating flow by means of CFD and its application to engine modeling," Applied Energy, Elsevier, vol. 103(C), pages 116-127.
  • Handle: RePEc:eee:appene:v:103:y:2013:i:c:p:116-127
    DOI: 10.1016/j.apenergy.2012.09.013
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261912006538
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2012.09.013?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, Weihao & Zou, Zhengping & Ye, Jian, 2012. "Leading-edge redesign of a turbomachinery blade and its effect on aerodynamic performance," Applied Energy, Elsevier, vol. 93(C), pages 655-667.
    2. Jiao, Kui & Sun, Harold & Li, Xianguo & Wu, Hao & Krivitzky, Eric & Schram, Tim & Larosiliere, Louis M., 2009. "Numerical simulation of air flow through turbocharger compressors with dual volute design," Applied Energy, Elsevier, vol. 86(11), pages 2494-2506, November.
    3. Marelli, Silvia & Capobianco, Massimo, 2011. "Steady and pulsating flow efficiency of a waste-gated turbocharger radial flow turbine for automotive application," Energy, Elsevier, vol. 36(1), pages 459-465.
    4. Arcaklioglu, Erol & Çelikten, Ismet, 2005. "A diesel engine's performance and exhaust emissions," Applied Energy, Elsevier, vol. 80(1), pages 11-22, January.
    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. José Galindo & Andrés Tiseira & Roberto Navarro & Lukas Benjamin Inhestern & Juan David Echavarría, 2022. "Numerical Analysis of the Effects of Different Rotor Tip Gaps in a Radial Turbine Operating at High Pressure Ratios Reaching Choked Flow," Energies, MDPI, vol. 15(24), pages 1-30, December.
    2. Wang, Chongming & Xu, Hongming & Herreros, Jose Martin & Wang, Jianxin & Cracknell, Roger, 2014. "Impact of fuel and injection system on particle emissions from a GDI engine," Applied Energy, Elsevier, vol. 132(C), pages 178-191.
    3. Liu, Xingrang & Bansal, R.C., 2014. "Integrating multi-objective optimization with computational fluid dynamics to optimize boiler combustion process of a coal fired power plant," Applied Energy, Elsevier, vol. 130(C), pages 658-669.
    4. Kim, Jeong Ho & Kim, Tong Seop, 2019. "A new approach to generate turbine map data in the sub-idle operation regime of gas turbines," Energy, Elsevier, vol. 173(C), pages 772-784.
    5. Serrano, José Ramón & Navarro, Roberto & García-Cuevas, Luis Miguel & Inhestern, Lukas Benjamin, 2018. "Turbocharger turbine rotor tip leakage loss and mass flow model valid up to extreme off-design conditions with high blade to jet speed ratio," Energy, Elsevier, vol. 147(C), pages 1299-1310.
    6. Liu, Zheng & Copeland, Colin, 2018. "New method for mapping radial turbines exposed to pulsating flows," Energy, Elsevier, vol. 162(C), pages 1205-1222.
    7. Rong Huang & Jimin Ni & Houchuan Fan & Xiuyong Shi & Qiwei Wang, 2023. "Investigating a New Method-Based Internal Joint Operation Law for Optimizing the Performance of a Turbocharger Compressor," Sustainability, MDPI, vol. 15(2), pages 1-23, January.
    8. Bontempo, R. & Cardone, M. & Manna, M. & Vorraro, G., 2017. "A statistical approach to the analysis of the surge phenomenon," Energy, Elsevier, vol. 124(C), pages 502-509.
    9. Powell, D. & Ebrahimi, A. & Nourbakhsh, S. & Meshkahaldini, M. & Bilton, A.M., 2018. "Design of pico-hydro turbine generator systems for self-powered electrochemical water disinfection devices," Renewable Energy, Elsevier, vol. 123(C), pages 590-602.
    10. 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.
    11. Afrouzi, Hamid Hassanzadeh & Ahmadian, Majid & Moshfegh, Abouzar & Toghraie, Davood & Javadzadegan, Ashkan, 2019. "Statistical analysis of pulsating non-Newtonian flow in a corrugated channel using Lattice-Boltzmann method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 535(C).
    12. Mahabadipour, Hamidreza & Srinivasan, Kalyan Kumar & Krishnan, Sundar Rajan & Subramanian, Swami Nathan, 2018. "Crank angle-resolved exergy analysis of exhaust flows in a diesel engine from the perspective of exhaust waste energy recovery," Applied Energy, Elsevier, vol. 216(C), pages 31-44.
    13. Serrano, J.R. & Climent, H. & Piqueras, P. & Angiolini, E., 2014. "Analysis of fluid-dynamic guidelines in diesel particulate filter sizing for fuel consumption reduction in post-turbo and pre-turbo placement," Applied Energy, Elsevier, vol. 132(C), pages 507-523.
    14. Zhu, Dengting & Zheng, Xinqian, 2018. "A new asymmetric twin-scroll turbine with two wastegates for energy improvements in diesel engines," Applied Energy, Elsevier, vol. 223(C), pages 263-272.
    15. Zhao, Rongchao & Li, Weihua & Zhuge, Weilin & Zhang, Yangjun & Yin, Yong & Wu, Yonghui, 2018. "Characterization of two-stage turbine system under steady and pulsating flow conditions," Energy, Elsevier, vol. 148(C), pages 407-423.
    16. Tregenza, Owen & Olshina, Noam & Hield, Peter & Manzie, Chris & Hulston, Chris, 2022. "A comparison of turbine mass flow models based on pragmatic identification data sets for turbogenerator model development," Energy, Elsevier, vol. 247(C).
    17. Sakellaridis, Nikolaos F. & Raptotasios, Spyridon I. & Antonopoulos, Antonis K. & Mavropoulos, Georgios C. & Hountalas, Dimitrios T., 2015. "Development and validation of a new turbocharger simulation methodology for marine two stroke diesel engine modelling and diagnostic applications," Energy, Elsevier, vol. 91(C), pages 952-966.
    18. Ding, Zhanming & Zhuge, Weilin & Zhang, Yangjun & Chen, Hua & Martinez-Botas, Ricardo & Yang, Mingyang, 2017. "A one-dimensional unsteady performance model for turbocharger turbines," Energy, Elsevier, vol. 132(C), pages 341-355.
    19. 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.
    20. Sheng Yin & Jimin Ni & Houchuan Fan & Xiuyong Shi & Rong Huang, 2022. "A Study of Evaluation Method for Turbocharger Turbine Based on Joint Operation Curve," Sustainability, MDPI, vol. 14(16), pages 1-18, August.

    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. Bontempo, R. & Cardone, M. & Manna, M. & Vorraro, G., 2017. "A statistical approach to the analysis of the surge phenomenon," Energy, Elsevier, vol. 124(C), pages 502-509.
    2. Marelli, Silvia & Marmorato, Giulio & Capobianco, Massimo, 2016. "Evaluation of heat transfer effects in small turbochargers by theoretical model and its experimental validation," Energy, Elsevier, vol. 112(C), pages 264-272.
    3. Najjar, Yousef S.H., 2011. "Comparison of performance of a Greener direct-injection stratified-charge (DISC) engine with a spark-ignition engine using a simplified model," Energy, Elsevier, vol. 36(7), pages 4136-4143.
    4. Zhao, Rongchao & Li, Weihua & Zhuge, Weilin & Zhang, Yangjun & Yin, Yong & Wu, Yonghui, 2018. "Characterization of two-stage turbine system under steady and pulsating flow conditions," Energy, Elsevier, vol. 148(C), pages 407-423.
    5. Xue, Yingxian & Yang, Mingyang & Pan, Lei & Deng, Kangyao & Wu, Xintao & Wang, Cuicui, 2021. "Gasdynamic behaviours of a radial turbine with pulsating incoming flow," Energy, Elsevier, vol. 218(C).
    6. Serrano, José Ramón & Olmeda, Pablo & Tiseira, Andrés & García-Cuevas, Luis Miguel & Lefebvre, Alain, 2013. "Theoretical and experimental study of mechanical losses in automotive turbochargers," Energy, Elsevier, vol. 55(C), pages 888-898.
    7. Shivakumar & Srinivasa Pai, P. & Shrinivasa Rao, B.R., 2011. "Artificial Neural Network based prediction of performance and emission characteristics of a variable compression ratio CI engine using WCO as a biodiesel at different injection timings," Applied Energy, Elsevier, vol. 88(7), pages 2344-2354, July.
    8. Yap, Wai Kean & Karri, Vishy, 2011. "ANN virtual sensors for emissions prediction and control," Applied Energy, Elsevier, vol. 88(12), pages 4505-4516.
    9. Li, Qubo & Piechna, Janusz & Müller, Norbert, 2011. "Design of a novel axial impeller as a part of counter-rotating axial compressor to compress water vapor as refrigerant," Applied Energy, Elsevier, vol. 88(9), pages 3156-3168.
    10. Luján, José Manuel & Bermúdez, Vicente & Piqueras, Pedro & García-Afonso, Óscar, 2015. "Experimental assessment of pre-turbo aftertreatment configurations in a single stage turbocharged diesel engine. Part 1: Steady-state operation," Energy, Elsevier, vol. 80(C), pages 599-613.
    11. Babu, D. & Thangarasu, Vinoth & Ramanathan, Anand, 2020. "Artificial neural network approach on forecasting diesel engine characteristics fuelled with waste frying oil biodiesel," Applied Energy, Elsevier, vol. 263(C).
    12. Ng, Hoon Kiat & Gan, Suyin & Ng, Jo-Han & Pang, Kar Mun, 2013. "Simulation of biodiesel combustion in a light-duty diesel engine using integrated compact biodiesel–diesel reaction mechanism," Applied Energy, Elsevier, vol. 102(C), pages 1275-1287.
    13. Wei Tian & Defeng Du & Juntong Li & Zhiqiang Han & Wenbin Yu, 2020. "Establishment of a Two-Stage Turbocharging System Model and Analysis on Influence Rules of Key Parameters," Energies, MDPI, vol. 13(8), pages 1-20, April.
    14. Afrouzi, Hamid Hassanzadeh & Ahmadian, Majid & Moshfegh, Abouzar & Toghraie, Davood & Javadzadegan, Ashkan, 2019. "Statistical analysis of pulsating non-Newtonian flow in a corrugated channel using Lattice-Boltzmann method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 535(C).
    15. 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.
    16. Kara Togun, Necla & Baysec, Sedat, 2010. "Prediction of torque and specific fuel consumption of a gasoline engine by using artificial neural networks," Applied Energy, Elsevier, vol. 87(1), pages 349-355, January.
    17. Wang, Xiaojing & Zou, Zhengping, 2019. "Uncertainty analysis of impact of geometric variations on turbine blade performance," Energy, Elsevier, vol. 176(C), pages 67-80.
    18. Zamboni, Giorgio & Malfettani, Stefano & André, Michel & Carraro, Chiara & Marelli, Silvia & Capobianco, Massimo, 2013. "Assessment of heavy-duty vehicle activities, fuel consumption and exhaust emissions in port areas," Applied Energy, Elsevier, vol. 111(C), pages 921-929.
    19. Nithesh, K.G. & Chatterjee, Dhiman & Oh, Cheol & Lee, Young-Ho, 2016. "Design and performance analysis of radial-inflow turboexpander for OTEC application," Renewable Energy, Elsevier, vol. 85(C), pages 834-843.
    20. Manieniyan, V. & Vinodhini, G. & Senthilkumar, R. & Sivaprakasam, S., 2016. "Wear element analysis using neural networks of a DI diesel engine using biodiesel with exhaust gas recirculation," Energy, Elsevier, vol. 114(C), pages 603-612.

    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:appene:v:103:y:2013:i:c:p:116-127. 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.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.