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Работы, на которые ссылается эта работа

Работ: 358

Работа: Prediction methods and influencing factors on the viscosity of nanofluids using machine learning: A comprehensive review

  1. Utilizing machine learning algorithms for prediction of the rheological behavior of ZnO (50%)-MWCNTs (50%)/ Ethylene glycol (20%)-water (80%) nano-refrigerant

    Xiedong Song, Mohammadreza Baghoolizadeh, As’ad Alizadeh +5

    Статья2024Цитирований: 3
    ABI

  2. Recent advances in application of nanofluids in heat transfer devices: A critical review

    Muhammad Usman Sajid, Hafız Muhammad Ali

    Обзорная статья2019Цитирований: 3
    ABI

  3. Alteration of Thermal Conductivity and Viscosity of Liquid by Dispersing Ultra-Fine Particles. Dispersion of Al2O3, SiO2 and TiO2 Ultra-Fine Particles.

    H. Masuda, Akira Ebata, Kazunari Teramae +1

    Статья1993Цитирований: 3
    ABI

  4. A state of the art review on viscosity of nanofluids

    S. M. Sohel Murshed, Patrice Estellé

    Статья2017Цитирований: 3
    ABI

  5. The effect of vortex generators on the hydrodynamic performance of a submarine at a high angle of attack using a multi-objective optimization and computational fluid dynamics

    Mohammad Rostamzadeh‐Renani, Reza Rostamzadeh‐Renani, Mohammadreza Baghoolizadeh +1

    Статья2023Цитирований: 3
    ABI

  6. Multi-objective optimization of rheological behavior of nanofluids containing CuO nanoparticles by NSGA II, MOPSO, and MOGWO evolutionary algorithms and group method of data handling artificial neural networks

    Reza Rostamzadeh‐Renani, Dheyaa J. Jasim, Mohammadreza Baghoolizadeh +4

    Статья2023Цитирований: 3
    ABI

  7. A review on application of nanofluid in various types of heat pipes

    Mohammad Alhuyi Nazari, Mohammad Hossein Ahmadi, Milad Sadeghzadeh +2

    Обзорная статья2019Цитирований: 3
    ABI

  8. Smart modeling by using artificial intelligent techniques on thermal performance of flat‐plate solar collector using nanofluid

    Milad Sadeghzadeh, Mohammad Hossein Ahmadi, Mostafa Kahani +3

    Статья2019Цитирований: 3
    ABI

  9. A well-trained artificial neural network for predicting the rheological behavior of MWCNT–Al2O3 (30–70%)/oil SAE40 hybrid nanofluid

    Mohammad Hemmat Esfe, S. Ali Eftekhari, Maboud Hekmatifar +1

    Статья2021Цитирований: 3
    ABI

  10. An experimental investigation and new correlation of viscosity of ZnO–EG nanofluid at various temperatures and different solid volume fractions

    Mohammad Hemmat Esfe, Seyfolah Saedodin

    Статья2014Цитирований: 3
    ABI

  11. MHD 3D flow and heat transfer analysis of nanofluid by shrinking surface inspired by thermal radiation and viscous dissipation

    M.K. Nayak

    Статья2017Цитирований: 3
    ABI

  12. An Overview of the Latest Progress in Internal Surface Finishing of the Additively Manufactured Metallic Components

    Farideh Davoodi, Mohammad Taghian, Giuseppe Carbone +2

    Обзорная статья2023Цитирований: 3
    ABI

  13. On the viscosity of a concentrated suspension of solid spheres

    N. A. Frankel, Andreas Acrivos

    Статья1967Цитирований: 3
    ABI

  14. Heat transfer and flow behaviour of aqueous suspensions of TiO2 nanoparticles (nanofluids) flowing upward through a vertical pipe

    Yurong He, Yi Jin, Haisheng Chen +3

    Статья2006Цитирований: 3
    ABI

  15. Room-temperature transistor based on a single carbon nanotube

    Sander J. Tans, Alwin R. M. Verschueren, Cees Dekker

    Статья1998Цитирований: 3
    ABI

  16. Synthesis of Al2O3–Cu/water hybrid nanofluids using two step method and its thermo physical properties

    S. Suresh, K.P. Venkitaraj, P. Selvakumar +1

    Статья2011Цитирований: 3
    ABI

  17. RETRACTED: Combination of group method of data handling neural network with multi-objective gray wolf optimizer to predict the viscosity of MWCNT-TiO2 -oil SAE50 nanofluid

    Han Zhou, Ali B.M. Ali, Hussein Zekri +7

    СтатьяNanofluid Flow and Heat TransferCase Studies in Thermal Engineering2024Цитирований: 2
    ABI

  18. An empirical equation of the relative viscosity of polymer melts filled with various inorganic fillers

    Takeshi Kitano, Tadao Kataoka, Takayuki Shirota

    Статья1981Цитирований: 2
    ABI

  19. Advances in Bayesian network modelling: Integration of modelling technologies

    Bruce G. Marcot, Trent D. Penman

    Статья2018Цитирований: 2
    ABI

  20. Rheological behaviour of nanofluids: A review

    Anuj Kumar Sharma, Arun Kumar Tiwari, Amit Rai Dixit

    Обзорная статья2015Цитирований: 2
    ABI

  21. Influence of pH on Nanofluids' Viscosity and Thermal Conductivity

    Wang Xian-Ju, Xinfang Li

    Статья2009Цитирований: 2
    ABI

  22. Analysis of factors influencing thermal conductivity and viscosity in different kinds of surfactant solutions

    Mingzheng Zhou, Xia Guodong, Jian Li +2

    Статья2011Цитирований: 2
    ABI

  23. Application of nanofluids in heating buildings and reducing pollution

    Devdatta Kulkarni, Debendra K. Das, Ravikanth S. Vajjha

    Статья2009Цитирований: 2
    ABI

  24. Hydrogen Storage in Single-Walled Carbon Nanotubes at Room Temperature

    C. Liu, Yueying Fan, M. Liu +3

    Статья1999Цитирований: 2
    ABI

  25. Evaluation of the effects of the presence of ZnO -TiO2 (50 %–50 %) on the thermal conductivity of Ethylene Glycol base fluid and its estimation using Artificial Neural Network for industrial and commercial applications

    Asˈad Alizadeh, Khidhair Jasim Mohammed, Ghassan Fadhil Smaisim +5

    Статья2023Цитирований: 2
    ABI