A5074748870- Nanofluid Flow and Heat Transfer
- Heat Transfer Mechanisms
- Solar Thermal and Photovoltaic Systems
- Phase Change Materials Research
- Heat Transfer and Optimization
- Hydraulic Fracturing and Reservoir Analysis
- Fluid Dynamics and Turbulent Flows
- Adsorption and Cooling Systems
- Heat Transfer and Boiling Studies
- Hydrocarbon exploration and reservoir analysis
- Fuel Cells and Related Materials
- Advanced Combustion Engine Technologies
- Drilling and Well Engineering
- Electrocatalysts for Energy Conversion
- Reservoir Engineering and Simulation Methods
- Advancements in Solid Oxide Fuel Cells
- Solar Energy Systems and Technologies
- Combustion and flame dynamics
- Heat transfer and supercritical fluids
- Photovoltaic System Optimization Techniques
- Enhanced Oil Recovery Techniques
- Advanced battery technologies research
- Fluid Dynamics and Heat Transfer
- Advanced Thermoelectric Materials and Devices
- Numerical methods in inverse problems
Persian Gulf University
2018-2025
Babol University of Medical Sciences
2015-2025
Babol Noshirvani University of Technology
2015-2024
Mazandaran University of Science and Technology
2021-2023
Universidad de Sevilla
2023
Amirkabir University of Technology
2017-2019
Institute of Technology of Cambodia
2012
University of Mazandaran
2006-2007
ABSTRACT In the present research, entropy generation (EG) for a nanofluid through vertical channels is analyzed numerically. The water‐based suspension of alumina nanoparticles with different volume fractions considered heat transfer fluid. flow in channel under effects forced and natural convection simultaneously. For EG assessment, values number, Bejan ratio, average number are evaluated comprehensively. effect changes some parameters including Brinkman (Br) temperature difference,...
In this essay, the physical aspects of steady laminar boundary layer flow CNTs/(C2H6O2–H2O) hybrid base nanofluid over a porous stretching cylinder under impact magnetic force has been explored using 4th order Runge-kutta (RKF 4) numerical method. The changeable, various parameters like: Reynolds number (Re), CNTs volume fraction (ϕ), Squeeze (S), and Magnetic parameter (M) on thermal layers are exemplified quantitatively through figures. As well as, impacts nanoparticles analyzed...
Abstract Shear wave transit time is a crucial parameter in petroleum engineering and geomechanical modeling with significant implications for reservoir performance rock behavior prediction. Without accurate shear velocity information, models are unable to fully characterize behavior, impacting operations such as hydraulic fracturing, production planning, well stimulation. While traditional direct measurement methods but resource-intensive, indirect utilizing seismic petrophysical data,...