M
Michael N. Macrossan
Researcher at University of Queensland
Publications - 62
Citations - 711
Michael N. Macrossan is an academic researcher from University of Queensland. The author has contributed to research in topics: Monte Carlo method & Direct simulation Monte Carlo. The author has an hindex of 16, co-authored 62 publications receiving 697 citations. Previous affiliations of Michael N. Macrossan include Imperial College London.
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Journal ArticleDOI
The equilibrium flux method for the calculation of flows with non-equilibrium chemical reactions
TL;DR: The equilibrium flux method as mentioned in this paper is a kinetic theory based finite volume method for calculating the flow of a compressible ideal gas, which is a natural upwinding scheme for the Euler equation.
Journal ArticleDOI
Flowfields on feed and permeate sides of tubular molecular sieving silica (MSS) membranes
Madhat Abdel-jawad,Suraj Gopalakrishnan,Mikel Duke,Michael N. Macrossan,P. Smith Schneider,J. C. Diniz da Costa +5 more
TL;DR: In this paper, a computational fluid dynamic approach to integrate diffusion through inorganic molecular sieve silica (MSS) membranes and continuum flows on the feed/retentate and permeate sides of these membranes is presented.
Flowfields on Feed and Permeate Sides of Tubular Molecular Sieving Silica
Madhat Abdel-jawad,S Goplalakrishnan,Mikel Duke,Michael N. Macrossan,Paulo Smith Schneider,J. C. Diniz da Costa +5 more
Proceedings ArticleDOI
A particle simulation method for the BGK equation
TL;DR: In this paper, a particle simulation method called Relaxation Time Simulation Method (RTSM) is described, where the collision phase in standard DSMC is replaced by a procedure whereby some of the particle velocities in each cell at each time step are selected from an equilibrium distribution, while conserving the total energy and momentum in the cell.
Journal ArticleDOI
v -DSMV: a fast simulation method for rarefield flow
TL;DR: In this article, a new approximate simulation method for rarefied flows, ν-DSMC, is described and tested by comparison with results from Bird's direct simulation Monte-Carlo (DSMC) method, and with a previously proposed ‘relaxation time’ simulation method (RTSM) which solves the BGK equation.