Prediction of nanofluid heat transfer characteristic and pressure drop in helical coil via artificial neural networks

Heat transfer and pressure drop performance of Nanofluid: A state-of- the-art review

Muhammad Awais, Najeeb Ullah, Javaid Ahmad et al. · International Journal of Thermofluids · 2021 · 224 citations · Full text

Engineering, Materials Science, Mechanical Engineering +17

Conceptual analysis framework development to understand barriers of nanofluid commercialization

Avinash Alagumalai, Caiyan Qin, K. E. K. Vimal et al. · Nano Energy · 2021 · 159 citations

Engineering, Chemical Engineering, Nanomaterials +9

An artificial neural network model to predict mini/micro-channels saturated flow boiling heat transfer coefficient based on universal consolidated data

Yue Qiu, Deepak Garg, Liwei Zhou et al. · International Journal of Heat and Mass Transfer · 2019 · 159 citations

Engineering, Computational Engineering, Mechanical Engineering +14

Using perceptron feed-forward Artificial Neural Network (ANN) for predicting the thermal conductivity of graphene oxide-Al2O3/water-ethylene glycol hybrid nanofluid

Shaopeng Tian, Noreen Izza Arshad, Davood Toghraie et al. · Case Studies in Thermal Engineering · 2021 · 148 citations · Full text

Engineering, Materials Engineering, Materials Science +17

Prediction of heat transfer and flow characteristics in helically coiled tubes using artificial neural networks

Reza Beigzadeh, Masoud Rahimi · International Communications in Heat and Mass Transfer · 2012 · 104 citations

Engineering, Computational Engineering, Mechanical Engineering +16