Calibration of low-pressure MEMS gas sensor for detection of hydrogen gas

Gerdroodbary, M. Barzegar; Anazadehsayed, Abdolhamid; Hassanvand, Amin; Moradi, Rasoul

doi:10.1016/j.ijhydene.2017.11.087

Cited by 70 publications

(29 citation statements)

References 23 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%

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%

Application of neural network on heat transfer enhancement of magnetohydrodynamic nanofluid

Gerdroodbary

2019

Heat Trans. Asian Res.

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“…According to this equation, high Knudsen number is obtained by decreasing either the pressure of the domain or size of our model. Previous studies [8][9][10][11][12][13][14][15][16] clearly showed that the Knudsen force is highly proportional to the main characteristics of the gas inside the domain. Actually, thermal stresses are produced by the non-uniformity of the temperature within rarefied gases and create bulk fluid flows that could employ forces on solid body [17,18].…”

Section: Introductionmentioning

confidence: 99%

“…One of the significant aspects of this micro gas sensor is the micro size of this device that enables it to work in the various operating condition. Since this device is highly significant, considerable works have been performed to evaluate this micro gas sensor [11][12][13]. In our these papers, the main characteristics of this sensor are investigated and the precision of measured Knudsen force for different gas mixtures, for instance, hydrogen, methane/helium, methane/SO 2 , carbon dioxide, ammonia, and inert gas.…”

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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“…Recently, different researchers have scrutinized heat transfer improvement in nanouids. [31][32][33][34][35][36][37][38][39][40][41] In this study, the inuence of an exterior axial magnetic eld used for the obliging convection nanouid ow among two horizontal concentric tubes was numerically investigated considering the impacts of thermal radiation and viscous heat dissipation. A rotary internal tube with a low constant angular velocity value induced the forced ow, and the external tube was xed.…”

Section: Introductionmentioning

confidence: 99%

A numerical simulation for magnetohydrodynamic nanofluid flow and heat transfer in rotating horizontal annulus with thermal radiation

et al. 2019

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The impact of an axial magnetic field on the heat transfer and nanofluid flow among two horizontal coaxial tubes in the presence of thermal radiation was considered in this study. The impact of viscous dissipation was also considered. The well-known KKL (Koo-Kleinsteuer-Li) model was applied to approximate the viscosity of the nanofluid and the effective thermal conductivity. Furthermore, proper transformations for the velocity and temperature were applied in this study to obtain a set of ODEs (ordinary differential equations) for basic equations governing the flow, heat and mass transfer. In addition, the 4th order Runge-Kutta (RK) numerical scheme was applied to solve the differential equations along with the associated boundary conditions. The impacts of different parameters, including Hartmann number, Reynolds number, radiation parameter and aspect ratio, on the heat transfer and flow features were studied. According to the results, the value of the Nusselt number increases with an increase in the radiation parameter, Hartmann number and aspect ratio and a decrease in the Reynolds number and Eckert number. Fig. 8 Effect of aspect ratio on the Nusselt number and skin friction coefficient when Pr ¼ 6.8, h ¼ 0.5, Ec ¼ 0.01, Rd ¼ 0.1, Re ¼ 1, f ¼ 0.04.

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Calibration of low-pressure MEMS gas sensor for detection of hydrogen gas

Cited by 70 publications

References 23 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

A numerical simulation for magnetohydrodynamic nanofluid flow and heat transfer in rotating horizontal annulus with thermal radiation

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