Parametric analysis and optimization of entropy generation in unsteady MHD flow over a stretching rotating disk using artificial neural network and particle swarm optimization algorithm
By Mohammad Mehdi Rashidi, Mohamed El-Sayed Ali, Navid Freidoonimehr, Foad Nazari. 2013
221 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Computational Mechanics, Mechanical Engineering
View Paper: https://www.semanticscholar.org/paper/be5f6a0a35c7c8c0afa79c1fa864094b8850e143
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
- Navid Freidoonimehr
- Mohammad Mehdi Rashidi
- Foad Nazari
- M. Abolbashari
- Behnam Rostami
- O. A. Bég
- A. Hosseini
- Tin-Kan Hung
In Computational Mechanics
- Navid Freidoonimehr
- Mohammad Mehdi Rashidi
- Behnam Rostami
- Foad Nazari
- M. Abolbashari
- A. Hosseini
- Mohamed El-Sayed Ali
- M. Anwar Hossain
In Mechanical Engineering
- Navid Freidoonimehr
- Mohammad Mehdi Rashidi
- Foad Nazari
- M. Abolbashari
- O. A. Bég
- A. Hosseini
- Tin-Kan Hung
- M. Anwar Hossain
Citations in the corpus
- Homotopy simulation of nanofluid dynamics from a non-linearly stretching isothermal permeable sheet with transpiration (2014, methodology): “HAM has been successfully applied to solve many types of nonlinear fluid mechanics problems including viscoelastic flows with cross-diffusion effects [33], magnetic Von Karman swirling flows [34], rotating flows in porous media [35], unsteady MHD flow over a stretching rotating disk [36] and biologi”
- Entropy analysis for an unsteady MHD flow past a stretching permeable surface in nano-fluid (2014, methodology): “[21] studied the first and second law analyses of an electrically conductingfluid past a rotatingdisk in the presence of a uniformvertical magnetic field analytically and then applied Artificial Neural Network and Particle Swarm Optimization algorithm to minimize the entropy generation.”
- Mixed Convective Heat Transfer for MHD Viscoelastic Fluid Flow over a Porous Wedge with Thermal Radiation (2014, methodology): “[26] demonstrated the parametric analysis and optimization of entropy generation in unsteady MHD flow past a stretching rotating disk using artificial neural network (ANN), particle swarm optimization (PSO) algorithm, and HAM.”