IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v82y2015icp23-30.html
   My bibliography  Save this article

Entropy generation and energy conversion rate for the peristaltic flow in a tube with magnetic field

Author

Listed:
  • Akbar, Noreen Sher

Abstract

Impact of entropy generation for the peristaltic flow in a tube is investigated. The entropy generation number due to heat transfer and fluid friction is formulated. The velocity and temperature distributions across the tube are presented along with pressure attributes. Exact analytical solution for velocity and temperature profile is obtained. Velocity, temperature, pressure gradient, pressure rise, Bejan number and streamlines are presented for radius of the tube a, Hartmann number M, amplitude ratio ε, Brinkman number Br and flow Q presented graphically. It is found that the entropy generation number attains high values in the region close to the walls of the tube, while it gains low values near the center of the tube.

Suggested Citation

  • Akbar, Noreen Sher, 2015. "Entropy generation and energy conversion rate for the peristaltic flow in a tube with magnetic field," Energy, Elsevier, vol. 82(C), pages 23-30.
  • Handle: RePEc:eee:energy:v:82:y:2015:i:c:p:23-30
    DOI: 10.1016/j.energy.2014.12.034
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544214014017
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2014.12.034?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. Basak, Tanmay & Anandalakshmi, R. & Kumar, Pushpendra & Roy, S., 2012. "Entropy generation vs energy flow due to natural convection in a trapezoidal cavity with isothermal and non-isothermal hot bottom wall," Energy, Elsevier, vol. 37(1), pages 514-532.
    2. Guelpa, Elisa & Sciacovelli, Adriano & Verda, Vittorio, 2013. "Entropy generation analysis for the design improvement of a latent heat storage system," Energy, Elsevier, vol. 53(C), pages 128-138.
    3. Abu-Hijleh, B.A/K & Abu-Qudais, M & Abu Nada, E, 1999. "Numerical prediction of entropy generation due to natural convection from a horizontal cylinder," Energy, Elsevier, vol. 24(4), pages 327-333.
    4. Anand, Vishal, 2014. "Slip law effects on heat transfer and entropy generation of pressure driven flow of a power law fluid in a microchannel under uniform heat flux boundary condition," Energy, Elsevier, vol. 76(C), pages 716-732.
    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. Ranjit, N.K. & Shit, G.C., 2017. "Entropy generation on electro-osmotic flow pumping by a uniform peristaltic wave under magnetic environment," Energy, Elsevier, vol. 128(C), pages 649-660.
    2. Manikandan, S. & Rajan, K.S., 2016. "Sand-propylene glycol-water nanofluids for improved solar energy collection," Energy, Elsevier, vol. 113(C), pages 917-929.
    3. Hayat, Tasawar & Nawaz, Sadaf & Alsaedi, Ahmed, 2019. "Entropy generation and endoscopic effects on peristalsis with modified Darcy’s law," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 536(C).
    4. Zhang, Kaiyu & Wang, Yibai & Tang, Haibin & Li, Yong & Wang, Baojun & York, Thomas M. & Yang, Lijun, 2020. "Two-dimensional analytical investigation into energy conversion and efficiency maximization of magnetohydrodynamic swirling flow actuators," Energy, Elsevier, vol. 209(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. Ranjit, N.K. & Shit, G.C., 2017. "Entropy generation on electro-osmotic flow pumping by a uniform peristaltic wave under magnetic environment," Energy, Elsevier, vol. 128(C), pages 649-660.
    2. Biswal, Pratibha & Basak, Tanmay, 2017. "Entropy generation vs energy efficiency for natural convection based energy flow in enclosures and various applications: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 1412-1457.
    3. Liu, Di & Zhao, Fu-Yun & Wang, Han-Qing, 2011. "Passive heat and moisture removal from a natural vented enclosure with a massive wall," Energy, Elsevier, vol. 36(5), pages 2867-2882.
    4. Zhu, Yejun & Huang, Baoling & Wu, Jingshen, 2014. "Optimization of filler distribution for organic phase change material composites: Numerical investigation and entropy analysis," Applied Energy, Elsevier, vol. 132(C), pages 543-550.
    5. Zhaonian Ye & Yongzhen Wang & Kai Han & Changlu Zhao & Juntao Han & Yilin Zhu, 2023. "Bi-Objective Optimization and Emergy Analysis of Multi-Distributed Energy System Considering Shared Energy Storage," Sustainability, MDPI, vol. 15(2), pages 1-23, January.
    6. Wang, Yongzhen & Zhang, Lanlan & Song, Yi & Han, Kai & Zhang, Yan & Zhu, Yilin & Kang, Ligai, 2024. "State-of-the-art review on evaluation indicators of integrated intelligent energy from different perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PA).
    7. Wenwen Ye & Dourna Jamshideasli & Jay M. Khodadadi, 2023. "Improved Performance of Latent Heat Energy Storage Systems in Response to Utilization of High Thermal Conductivity Fins," Energies, MDPI, vol. 16(3), pages 1-83, January.
    8. Srinivasacharya, D. & Bindu, K. Hima, 2016. "Entropy generation in a porous annulus due to micropolar fluid flow with slip and convective boundary conditions," Energy, Elsevier, vol. 111(C), pages 165-177.
    9. Kaluri, Ram Satish & Basak, Tanmay, 2010. "Analysis of distributed thermal management policy for energy-efficient processing of materials by natural convection," Energy, Elsevier, vol. 35(12), pages 5093-5107.
    10. Shahsavar, Amin & Majidzadeh, Amir Hossein & Mahani, Roohollah Babaei & Talebizadehsardari, Pouyan, 2021. "Entropy and thermal performance analysis of PCM melting and solidification mechanisms in a wavy channel triplex-tube heat exchanger," Renewable Energy, Elsevier, vol. 165(P2), pages 52-72.
    11. Bhardwaj, Saurabh & Dalal, Amaresh & Pati, Sukumar, 2015. "Influence of wavy wall and non-uniform heating on natural convection heat transfer and entropy generation inside porous complex enclosure," Energy, Elsevier, vol. 79(C), pages 467-481.
    12. Junting Wu & Yingjin Zhang & Kanglong Sun & Qicheng Chen, 2022. "Heat Transfer Enhancement of Phase Change Material in Triple-Tube Latent Heat Thermal Energy Storage Units: Operating Modes and Fin Configurations," Energies, MDPI, vol. 15(15), pages 1-26, August.
    13. Yang, Xiaohu & Yu, Jiabang & Xiao, Tian & Hu, Zehuan & He, Ya-Ling, 2020. "Design and operating evaluation of a finned shell-and-tube thermal energy storage unit filled with metal foam," Applied Energy, Elsevier, vol. 261(C).
    14. Kan, Kan & Xu, Zhe & Chen, Huixiang & Xu, Hui & Zheng, Yuan & Zhou, Daqing & Muhirwa, Alexis & Maxime, Binama, 2022. "Energy loss mechanisms of transition from pump mode to turbine mode of an axial-flow pump under bidirectional conditions," Energy, Elsevier, vol. 257(C).
    15. Pakrouh, R. & Hosseini, M.J. & Ranjbar, A.A. & Bahrampoury, R., 2017. "Thermodynamic analysis of a packed bed latent heat thermal storage system simulated by an effective packed bed model," Energy, Elsevier, vol. 140(P1), pages 861-878.
    16. Srinivasacharya, D. & Hima Bindu, K., 2015. "Entropy generation in a micropolar fluid flow through an inclined channel with slip and convective boundary conditions," Energy, Elsevier, vol. 91(C), pages 72-83.
    17. Safari, Mehdi & Sheikhi, M. Reza H., 2014. "Large eddy simulation-based analysis of entropy generation in a turbulent nonpremixed flame," Energy, Elsevier, vol. 78(C), pages 451-457.
    18. Lior, Noam & Sarmiento-Darkin, Wladimir & Al-Sharqawi, Hassan S., 2006. "The exergy fields in transport processes: Their calculation and use," Energy, Elsevier, vol. 31(5), pages 553-578.
    19. Hu, Xiao & Zhang, Heng & Chen, Dongwen & Li, Yong & Wang, Li & Zhang, Feng & Cheng, Haozhong, 2020. "Multi-objective planning for integrated energy systems considering both exergy efficiency and economy," Energy, Elsevier, vol. 197(C).
    20. Rashidi, M.M. & Ali, M. & Freidoonimehr, N. & Nazari, F., 2013. "Parametric analysis and optimization of entropy generation in unsteady MHD flow over a stretching rotating disk using artificial neural network and particle swarm optimization algorithm," Energy, Elsevier, vol. 55(C), pages 497-510.

    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:82:y:2015:i:c:p:23-30. 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.