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358 та иш

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

  1. Effective viscosity of nanofluids — A modified Krieger–Dougherty model based on particle size distribution (PSD) analysis

    R. Deepak Selvakumar, S. Dhinakaran

    Мақола20162 иқтибос
    ABI

  2. Benchmarking Least Squares Support Vector Machine Classifiers

    Tony Van Gestel, Johan A. K. Suykens, Bart Baesens +5

    Мақола20032 иқтибос
    ABI

  3. Experimental determination of thermal conductivity and dynamic viscosity of Ag–MgO/water hybrid nanofluid

    Mohammad Hemmat Esfe, Ali Akbar Abbasian Arani, M. R. Rezaie +2

    Мақола20152 иқтибос
    ABI

  4. A well-trained feed-forward perceptron Artificial Neural Network (ANN) for prediction the dynamic viscosity of Al2O3–MWCNT (40:60)-Oil SAE50 hybrid nano-lubricant at different volume fraction of nanoparticles, temperatures, and shear rates

    Haohua Qing, Sajad Hamedi, S. Ali Eftekhari +5

    Мақола20212 иқтибос
    ABI

  5. Review on viscosity measurement: devices, methods and models

    Atul Bhattad

    Мақола20232 иқтибос
    ABI

  6. Transport characteristics of suspension: VIII. A note on the viscosity of Newtonian suspensions of uniform spherical particles

    David G. Thomas

    Мақола19652 иқтибос
    ABI

  7. Viscosity of copper oxide nanoparticles dispersed in ethylene glycol and water mixture

    Praveen K. Namburu, Devdatta Kulkarni, Debasmita Misra +1

    Мақола20072 иқтибос
    ABI

  8. Viscosity data for Al2O3–water nanofluid—hysteresis: is heat transfer enhancement using nanofluids reliable?

    Cong Tam Nguyen, F. Desgranges, Nicolas Galanis +4

    Мақола20072 иқтибос
    ABI

  9. Enhanced thermal conductivity and viscosity of copper nanoparticles in ethylene glycol nanofluid

    Jivtesh Garg, Bed Poudel, Matteo Chiesa +9

    Мақола20082 иқтибос
    ABI

  10. A new model for calculating the effective viscosity of nanofluids

    Nafiseh Masoumi, Neaman Sohrabi, A. Behzadmehr

    Мақола20092 иқтибос
    ABI

  11. Measurement of the dynamic viscosity of hybrid engine oil -Cuo-MWCNT nanofluid, development of a practical viscosity correlation and utilizing the artificial neural network

    Alireza Aghaei, Hossein Khorasanizadeh, Ghanbar Ali Sheikhzadeh

    Мақола20172 иқтибос
    ABI

  12. Thermal conductivity, viscosity and surface tension of nanofluids based on FeC nanoparticles

    Angel Huminic, Gabriela Huminic, C. Fleaca +2

    Мақола20152 иқтибос
    ABI

  13. A new frontier of nanofluid research – Application of nanofluids in heat pipes

    Zhenhua Liu, Yuan-Yang Li

    Мақола20122 иқтибос
    ABI

  14. Heat transfer to a silicon carbide/water nanofluid

    Wenhua Yu, David M. France, David S. Smith +3

    Мақола20092 иқтибос
    ABI

  15. Application of nanofluids in thermosyphons: A review

    Mahdi Ramezanizadeh, Mohammad Alhuyi Nazari, Mohammad Hossein Ahmadi +1

    Шарҳ мақола20182 иқтибос
    ABI

  16. Applying GMDH neural network to estimate the thermal resistance and thermal conductivity of pulsating heat pipes

    Mohammad Hossein Ahmadi, Milad Sadeghzadeh, Amir Hossein Raffiee +1

    Мақола20192 иқтибос
    ABI

  17. Rheological characterization of polyethylene glycol based TiO2 nanofluids

    Kerim Yapıcı, Neşe Keklikçioğlu Çakmak, Naciye Ilhan +1

    Мақола20142 иқтибос
    ABI

  18. Heat transfer characteristics in nanofluid—A review

    R.B. Ganvir, Pramod Walke, V. M. Kriplani

    Мақола20162 иқтибос
    ABI

  19. Effects of temperature and particles concentration on the dynamic viscosity of MgO-MWCNT/ethylene glycol hybrid nanofluid: Experimental study

    Omid Soltani, Mohammad Akbari

    Мақола20162 иқтибос
    ABI

  20. Comparison of experimental and calculated thermophysical properties of alumina/cupric oxide hybrid nanofluids

    Sathishkumar Kannaiyan, Chitra Boobalan, Avinash Umasankaran +3

    Мақола20172 иқтибос
    ABI

  21. Estimating the Physical Properties of Nanofluids Using a Connectionist Intelligent Model Known as Gaussian Process Regression Approach

    Tzu-Chia Chen, Ali Thaeer Hammid, Avzal N. Akbarov +3

    МақолаPhase Equilibria and ThermodynamicsInternational Journal of Chemical Engineering20221 иқтибос
    ABI

  22. Accurate prediction of the rheological behavior of MWCNT-Al2O3/water-ethylene glycol nanofluid with metaheuristic-optimized machine learning models

    Yi Ru, Ali B.M. Ali, Karwan Hussein Qader +5

    МақолаNanofluid Flow and Heat TransferInternational Journal of Thermal Sciences20251 иқтибос
    ABI

  23. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI

  24. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI

  25. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI