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نمایش تعداد 1-10 از 75

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    Radiometric flow in periodically patterned channels: fluid physics and improved configurations 

    نوع: Journal Paper
    نویسنده : علی لطفیان; احسان روحی گل خطمی; Ali Lotfian; Ehsan Roohi
    سال: 2019
    خلاصه:

    With the aid of direct simulation Monte Carlo (DSMC), we conduct a detailed investigation

    pertaining to the fluid and thermal characteristics of rarefied gas flow with regard to various

    arrangements for radiometric pumps featuring vane...

    Effects of thermal creep and high order slip/jump on natural convection in microchannels 

    نوع: Conference Paper
    نویسنده : بهنام رحیمی; حمید نیازمند; Behnam Rahimi; Hamid Niazmand
    سال: 2012
    خلاصه:

    Natural convection gaseous slip flows in open-ended vertical parallel-plate microchannels with symmetric wall heat fluxes are numerically investigated. A second-order model, including thermal creep effects, is considered ...

    A Parallel DSMC Investigation of Monatomic/Diatomic Gas Flow in Micro/Nano Cavity 

    نوع: Journal Paper
    نویسنده : علیرضا محمدزاده; احسان روحی گل خطمی; حمید نیازمند; Alireza Mohammadzadeh; Ehsan Roohi; Hamid Niazmand
    سال: 2013
    خلاصه:

    In the current study we performed a DSMC investigation to study the non-equilibrium effects on monatomic and diatomic rarefied flows in micro/nano lid-driven cavity. Our DSMC solver is parallel and benefits from a variable ...

    Intensification of flotation treatment by exposure to vibration. 

    نوع: Journal Paper
    نویسنده : Ivanov, M. V. - Ksenofontov, B. S.
    ناشر: IWA Publishing
    سال: 2014

    A new form of the second order temperature jump boundary condition for the low-speed nanoscale and hypersonic rarefied gas flow simulations 

    نوع: Journal Paper
    نویسنده : Nam T. P. Le; احسان روحی گل خطمی; Ehsan Roohi
    سال: 2015
    خلاصه:

    The accuracy of the numerical simulation of rarefied gas flows, in particular the Navier-Stokes-Fourier (N-S-F) equations, depends on the employed surface boundary conditions. In the literature, the combination of the second order slip...

    DSMC Investigation of Rarefied Gas Flow through Diverging Micro/Nano-channels 

    نوع: Journal Paper
    نویسنده : احسان روحی گل خطمی; امین ابراهیمی; Ehsan Roohi; Amin Ebrahimi
    سال: 2017
    خلاصه:

    Direct simulation Monte Carlo (DSMC) method with simplified Bernoulli-trials (SBT) collision

    scheme has been used to study the rarefied pressure-driven nitrogen flow through diverging

    microchannels. The fluid ...

    On the Thermally-Driven Gas Flow through Divergent Micro/Nanochannels 

    نوع: Journal Paper
    نویسنده : محمد سجاد مظفری; احسان روحی گل خطمی; Mohammad Sajjad Mozaffari; Ehsan Roohi
    سال: 2017
    خلاصه:

    A detailed study on thermally driven flows through divergent micro/nanochannels is presented. Rarefied gas flow behavior and thermal mass flow rate were investigated with different divergence angles ranging between 0° and 7° at two aspect ratios (AR...

    On the vortical characteristics and cold-to-hot transfer of rarefied flow in a lid-driven isosceles orthogonal triangular cavity with isothermal walls 

    نوع: Journal Paper
    نویسنده : احسان روحی گل خطمی; وحید شهابی; Amir Bagherzadeh; Ehsan Roohi; Vahid Shahabi
    سال: 2018
    خلاصه:

    Rarefied gas flows in nano-scale isosceles triangular cavities with a motion away from the square corner are considered over a wide range of flow rarefactions regimes, i.e., 0.01≤Kn≤10, using the direct simulation Monte Carlo (DSMC) method. We put...

    DSMC Modeling of Rarefied Flow through Micro/Nano Backward-Facing Steps 

    نوع: Conference Paper
    نویسنده : امیرمهران مهدوی شهری; احسان روحی گل خطمی; Amirmehran Mahdavi; Ehsan Roohi
    سال: 2013
    خلاصه:

    .

    Additionally, gas flow becomes more uniform at

    higher flow Knudsen number....

    Artificial Neural Network (ANN) to Predict the Reaction Furnace Temperature 

    نوع: Conference Paper
    نویسنده : ثامر اسعدی; محمدتقی حامدموسویان; علی احمدپور; samer asadi; Mohammad Taghi Hamed Mosavian; Ali Ahmadpour
    سال: 2014
    خلاصه:

    An artificial neural network (ANN) was developed on MATLAB platform for predicting the reaction furnace temperature. Three important variable of the reaction furnace: fuel gas spiking, air and acid gas temperature and H2S ...

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