Heat transfer enhancement, intensification and optimisation in heat exchanger network retrofit and operation
The improvement of heat recovery in the industry has traditionally been approached from
two different viewpoints–Process Intensification and Process Integration. Many of the …
two different viewpoints–Process Intensification and Process Integration. Many of the …
Application of porous metal foam heat exchangers and the implications of particulate fouling for energy-intensive industries
Curtailing the ever-increasing global energy demand remains an arduous challenge. The
US Energy Information Administration emphasized that the deployment of new heat …
US Energy Information Administration emphasized that the deployment of new heat …
Modeling of CO2 capture ability of [Bmim][BF4] ionic liquid using connectionist smart paradigms
The burning of fossil fuels produces large amounts of exhaust gases containing carbon
dioxide (CO 2). The emission of CO 2 into the atmosphere is widely known as the leading …
dioxide (CO 2). The emission of CO 2 into the atmosphere is widely known as the leading …
Prediction of viscosity of biodiesel blends using various artificial model and comparison with empirical correlations
Y Zheng, MS Shadloo, H Nasiri, A Maleki… - Renewable Energy, 2020 - Elsevier
From the perspective of renewability and environmental pollution, biodiesels are appropriate
alternatives to conventional diesel fuels due to their proper combustion behavior and …
alternatives to conventional diesel fuels due to their proper combustion behavior and …
Multi-objective optimization of a tubular heat exchanger enhanced with delta winglet vortex generator and nanofluid using a hybrid CFD-SVR method
SM Ekrani, S Ganjehzadeh, JA Esfahani - International Journal of Thermal …, 2023 - Elsevier
The present study improves the thermal-hydraulic performance of a circular tube equipped
with a delta winglet vortex generator by providing a numerical model, investigating the effect …
with a delta winglet vortex generator by providing a numerical model, investigating the effect …
Application of hybrid artificial neural networks for predicting rate of penetration (ROP): A case study from Marun oil field
SB Ashrafi, M Anemangely, M Sabah… - Journal of petroleum …, 2019 - Elsevier
Rate of Penetration (ROP) can be considered as a crucial factor in optimization and cost
minimization of drilling operations. In order to predict ROP with satisfactory precision, some …
minimization of drilling operations. In order to predict ROP with satisfactory precision, some …
Hydrogen solubility in aromatic/cyclic compounds: Prediction by different machine learning techniques
Y Jiang, G Zhang, J Wang, B Vaferi - International Journal of Hydrogen …, 2021 - Elsevier
A systematic procedure based on adaptive neuro-fuzzy inference systems (ANFIS), artificial
neural networks, and least-squares support vector machines develop to estimate hydrogen …
neural networks, and least-squares support vector machines develop to estimate hydrogen …
Monitoring the effect of surface functionalization on the CO2 capture by graphene oxide/methyl diethanolamine nanofluids
Z Zhou, E Davoudi, B Vaferi - Journal of Environmental Chemical …, 2021 - Elsevier
Different processes exist to capture carbon dioxide (CO 2) and reduce its undesirable effects
on the atmosphere. Stable suspensions of graphene oxide (GO) nanosheets in aqueous …
on the atmosphere. Stable suspensions of graphene oxide (GO) nanosheets in aqueous …
A machine learning approach to predict drilling rate using petrophysical and mud logging data
Predicting the drilling rate of penetration (ROP) is one approach to optimizing drilling
performance. However, as ROP behavior is unique to specific geological conditions its …
performance. However, as ROP behavior is unique to specific geological conditions its …
Effects of variable magnetic field on particle fouling properties of magnetic nanofluids in a novel thermal exchanger system
Magnetic nanofluids, as a new type of heat transfer media, propose a possible way to
achieve low energy consumption and carbon neutrality, which has attracted a lot of attention …
achieve low energy consumption and carbon neutrality, which has attracted a lot of attention …