Amin Asadi

ORCID: 0000-0002-3290-3162
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About
Contact & Profiles
Research Areas
  • Nanofluid Flow and Heat Transfer
  • Heat Transfer and Optimization
  • Heat Transfer Mechanisms
  • Solar Thermal and Photovoltaic Systems
  • Power Transformer Diagnostics and Insulation
  • Heat Transfer and Boiling Studies
  • Rheology and Fluid Dynamics Studies
  • Fluid Dynamics and Turbulent Flows
  • Enhanced Oil Recovery Techniques
  • Solar-Powered Water Purification Methods
  • Crystallization and Solubility Studies
  • Smart Grid Energy Management
  • scientometrics and bibliometrics research
  • Tribology and Wear Analysis
  • Fluid Dynamics and Vibration Analysis
  • Thermal Radiation and Cooling Technologies
  • Magnesium Oxide Properties and Applications
  • Wind and Air Flow Studies
  • Misinformation and Its Impacts
  • High voltage insulation and dielectric phenomena
  • Thermodynamic and Exergetic Analyses of Power and Cooling Systems
  • Speech Recognition and Synthesis
  • Academic Writing and Publishing
  • Academic Publishing and Open Access
  • Dam Engineering and Safety

Duy Tan University
2020-2021

Las Vegas Academy of the Arts
2021

Ton Duc Thang University
2019-2020

Aalborg University
2014-2019

Islamic Azad University Semnan
2015-2018

Institute for Energy Technology
2017

Payame Noor University
2015

Islamic Azad University, Tehran
2014-2015

Islamic Azad University, Sirjan Branch
2014

Sirjan University of Technology
2014

A thermo-elastic contact problem of functionally graded materials (FGMs) rotating brake disk with different pure pad areas under temperature dependent material properties is solved by Finite Element Method (FEM). The change gradually from metal to ceramic power-law distribution along the radial direction inner outer surface. Areas are changing while vertical force constant. ratio thickness FGMs assumed 0.66. Two sources thermal loads considered: (1) Heat generation between and due friction,...

10.1038/s41598-019-51450-z article EN cc-by Scientific Reports 2019-10-25

The main purpose of the present paper is to improve performance adaptive neuro-fuzzy inference system (ANFIS) in predicting thermophysical properties Al2O3-MWCNT/thermal oil hybrid nanofluid through mixing using metaheuristic optimization techniques. A literature survey showed that use an artificial neural network (ANN) most widely used method, although there are other methods better performance. Moreover, it was found intelligence have been for thermal conductivity nanofluids. Thus, study,...

10.3390/ma12213628 article EN Materials 2019-11-04
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