The influence of non-uniform magnetic field on heat transfer intensification of ferrofluid inside a T-junction

Gerdroodbary, M. Barzegar; Sheikholeslami, M.; Mousavi, S. Valiallah; Anazadehsayed, Abdolhamid; Moradi, Rasoul

doi:10.1016/j.cep.2017.10.021

Cited by 61 publications

(11 citation statements)

References 42 publications

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“…Recently, the applications of Neural Network have been significantly increased in various engineering and industrial applications . Scholars and researchers have widely applied this method for the estimation of the results.…”

Section: Application Of Gmdh‐type Nn For Modeling Of the Problemmentioning

confidence: 99%

“…Kumar et al investigated irreversibility analysis of the three‐dimensional flow of carbon nanotubes due to nonlinear thermal radiation and quartic chemical reactions. Lately, diverse methods have been modified by various scholars to investigate the impact of the presence of nanoparticle on hydrodynamic and thermal analysis …”

Section: Introductionmentioning

confidence: 99%

“…The key clue of GMDH is to shape a methodical utility in a feed‐forward network according to a quadratic node rate task whose factors are achieved via the regression procedure . This technique is applied by various scientists in their research …”

Section: Introductionmentioning

confidence: 99%

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Application of neural network on heat transfer enhancement of magnetohydrodynamic nanofluid

Gerdroodbary

2019

Heat Trans. Asian Res.

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Section: Application Of Gmdh‐type Nn For Modeling Of the Problemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Application of neural network on heat transfer enhancement of magnetohydrodynamic nanofluid

Gerdroodbary

2019

Heat Trans. Asian Res.

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“…This method is highly popular and conventional for the simulation of the problems with low-pressure condition. Hence, numerous scholars and scientists [31][32][33][34][35][36][37][38][39][40] applied this for the simulation of scientific and engineering problems.…”

Section: Introductionmentioning

confidence: 99%

Application of Knudsen Force for Development of Modern Micro Gas Sensors

Gerdroodbary¹

2020

Gas Sensors

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Development of new simple gas sensor is highly significant due to its various industrial applications. In this chapter, comprehensive studies on the new micro gas sensor of Micro In-plane Knudsen Radiometric Actuator (MIKRA) are done to evaluate the performance of its technique on the detection of gas. This new micro gas sensor works by the radiometric phenomena, which occurs due to temperature difference in rarefied gas. In order to simulate this micro gas sensor, direct simulation Mont Carlo (DSMC) is recognized as a reliable method. This study highly focused on the main mechanisms of the flow feature and force generation in low-pressure domain. In order to study this micro gas sensor, comprehensive numerical results are thoroughly investigated and the effects of primary factors and parameters are revealed. In addition, the main details of computational approach for the simulation of this micro gas sensor are fully presented. Finally, the performance of this sensor in various operating conditions is explained and main findings are discussed.

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“…Numerical simulations showed that there are two other types of the mechanism which induce force on the cold arm. should be mentioned that numerical approach is widely applied for simulation of industrial problems [35][36][37][38][39][40][41][42][43][44][45][46][47][48][49][50][51][52][53].…”

Section: Introductionmentioning

confidence: 99%

Development of MEMS gas actuator for analyzing a gas mixture

Moradi

Gerdroodbary

et al. 2019

Scientia Iranica

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In this study, a computational technique is used to investigate the ability of a new MEMS gas actuator (MIKRA) for detection and sensation of the gas mixture. In this actuator, the temperature difference of two arms inside a rectangular domain at rarefied condition induces a Knudsen force which is relative to physical properties of the gas. Both 2d and 3D approaches are applied for the simulation of the flow inside the model. In order to define the flow feature of a low-pressure gas inside the micro gas actuator, a high order equation of Boltzmann should be solved to attain reliable results. Since the domain of this micro gas is non-equilibrium, Direct Simulation Monte Carlo (DSMC) method is applied for the simulation of the model. According to obtained results, a three-dimensional model presents more reliable results and the effect of a gap for three-dimensional model clearly demonstrates the impact of this parameter on the effective Knudsen force.

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The influence of non-uniform magnetic field on heat transfer intensification of ferrofluid inside a T-junction

Cited by 61 publications

References 42 publications

Application of neural network on heat transfer enhancement of magnetohydrodynamic nanofluid

Application of neural network on heat transfer enhancement of magnetohydrodynamic nanofluid

Application of Knudsen Force for Development of Modern Micro Gas Sensors

Development of MEMS gas actuator for analyzing a gas mixture

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