EconPapers    
Economics at your fingertips  
 

Monte Carlo simulation of nonlinear gravity driven Poiseuille–Couette flow in a dilute gas

Baliti Jamal (), Hssikou Mohamed () and Alaoui Mohammed ()
Additional contact information
Baliti Jamal: Université Moulay Ismail, Meknès, Morocco
Hssikou Mohamed: Université Moulay Ismail, Meknès, Morocco
Alaoui Mohammed: Université Moulay Ismail, Meknès, Morocco

Monte Carlo Methods and Applications, 2018, vol. 24, issue 3, 153-163

Abstract: Through the direct simulation Monte Carlo, the Boltzmann equation is solved numerically for dilute hard spheres gas between two infinite parallel plates in relative motion and at the same time the particles feel the action of a uniform body force along the same direction as the moving plate. The study is conducted on the effect of the external force on the nonlinear properties of the Poiseuille–Couette flow. We have been interested in the bulk properties, to inhibit the influence of finite-size effects, while ignoring linear effects like Knudsen boundary layer to investigate the generalised transport coefficients depending on the shear rate nonlinearly: the two nonlinear thermal conductivity function of normal heat flux and parallel one, the viscosity function, the tangential friction function, and the thermal curvature. The results indicate that the effect of the external force is significant on the nonlinear functions, where the viscosity function and normal thermal conductivity are increasing functions of this field.

Keywords: Monte Carlo simulation; Couette; Poiseuille; gravity (search for similar items in EconPapers)
Date: 2018
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://doi.org/10.1515/mcma-2018-0014 (text/html)
For access to full text, subscription to the journal or payment for the individual article is required.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bpj:mcmeap:v:24:y:2018:i:3:p:153-163:n:1

Ordering information: This journal article can be ordered from
https://www.degruyter.com/journal/key/mcma/html

DOI: 10.1515/mcma-2018-0014

Access Statistics for this article

Monte Carlo Methods and Applications is currently edited by Karl K. Sabelfeld

More articles in Monte Carlo Methods and Applications from De Gruyter
Bibliographic data for series maintained by Peter Golla ().

 
Page updated 2025-03-19
Handle: RePEc:bpj:mcmeap:v:24:y:2018:i:3:p:153-163:n:1