Review of pool boiling enhancement with additives and nanofluids

G Liang, I Mudawar - International Journal of Heat and Mass Transfer, 2018 - Elsevier
Enhancement of nucleate pool boiling by modifying fluid properties has drawn considerable
attention in recent years. This paper provides a comprehensive review of published …

Artificial intelligence in the field of nanofluids: A review on applications and potential future directions

M Bahiraei, S Heshmatian, H Moayedi - Powder Technology, 2019 - Elsevier
Artificial Intelligence (AI) algorithms are becoming beneficial as substitute methods to
conventional approaches or as components of incorporated systems. They have been …

Effects of boiling heat transfer on the performance enhancement of a medium speed diesel engine fueled with diesel and rapeseed methyl ester

Z Zhang, E Jiaqiang, J Chen, X Zhao, B Zhang… - Applied thermal …, 2020 - Elsevier
In order to better evaluate the nucleate boiling heat transfer, a new heat transfer model is
developed in the AVL-Boost environment. The improved heat transfer model considers the …

Designing a neural network for predicting the heat transfer and pressure drop characteristics of Ag/water nanofluids in a heat exchanger

MH Esfe - Applied Thermal Engineering, 2017 - Elsevier
Nanofluids are advanced liquids with a relatively high production cost. Experiments that are
performed to detect nanofluid characteristics in various thermal systems could be replaced …

ANN-Based Prediction of Laboratory-Scale Performance of CO2-Foam Flooding for Improving Oil Recovery

SR Moosavi, DA Wood, MA Ahmadi… - Natural Resources …, 2019 - Springer
Improving oil recovery by CO 2 injection continues to gain momentum in mature oil fields
due to its favorable industrial and environmental benefits. One remediation for the poor …

Experimental and modeling studies on adsorption of a nonionic surfactant on sandstone minerals in enhanced oil recovery process with surfactant flooding

A Barati-Harooni, A Najafi-Marghmaleki, A Tatar… - Journal of Molecular …, 2016 - Elsevier
Surfactants have ability to reduce the interfacial tension between residual oil and water and
give high recovery factor. Adsorption of surfactant onto the solid surface makes it less …

A comparison of performance of several artificial intelligence methods for predicting the dynamic viscosity of TiO2/SAE 50 nano-lubricant

MH Esfe, A Tatar, MRH Ahangar… - Physica E: Low …, 2018 - Elsevier
Since the conventional thermal fluids such as water, oil, and ethylene glycol have poor
thermal properties, the tiny solid particles are added to these fluids to increase their heat …

[HTML][HTML] Prediction of oil flow rate through an orifice flow meter: Artificial intelligence alternatives compared

H Ghorbani, DA Wood, A Choubineh, A Tatar… - Petroleum, 2020 - Elsevier
Fluid-flow measurements of petroleum can be performed using a variety of equipment such
as orifice meters and wellhead chokes. It is useful to understand the relationship between …

Surface qualitative analysis and ANN modelling for pool boiling heat transfer using Al2O3-water based nanofluids

A Pare, SK Ghosh - Colloids and Surfaces A: Physicochemical and …, 2021 - Elsevier
The present investigation is focussed on the surface associated qualitative analysis for
nucleate pool boiling heat transfer characteristics of alumina-water based nanofluids. An …

Performance comparison of bubble point pressure from oil PVT data: Several neurocomputing techniques compared

H Ghorbani, DA Wood, A Choubineh… - Experimental and …, 2020 - Springer
Abstract Pressure–Volume–Temperature (PVT) characterization of a crude oil involves
establishing its bubble point pressure, which is the pressure at which the first gas bubble …