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Direct Simulation Monte Carlo Method in Industrial Applications

Authors: ZUPPARDI, GENNARO; Francesco, Romano;

Direct Simulation Monte Carlo Method in Industrial Applications

Abstract

In the present work three different applications of DSMC method to problems of industrial interest are revised and deepen by using both other methodologies and a more updated or advanced DSMC code, compared with those already used by other researchers to solve the same problems. For each problem, a preliminary rarefaction analysis verifies that the molecular approach, therefore the use of a DSMC code, is proper. More specifically, in this work the “sophisticated” DS2V (Ver.4.5) code has been used for the simulation of the flow fields in a deposition chamber and in a micro-channel as well as for the evaluation of viscosity of mixtures. The present work is an improvement of former works about the same topics because: 1) a method is proposed for the evaluation of the film distribution on the substrate. Furthermore, as the thin film deposition process is based on expanding thermal plasma from a torch, the influences of mass flow rate and of electrical power, supplied to the gas, and of the fluid-dynamic characteristics of the plasma jet, linked to geometry of different nozzles, are analyzed. 2) Some fluid-dynamic parameters in a micro-channel, such as load loss and impulse have been evaluated. 3) Computation of the exponent of the temperature viscosity law of a mixture of gases is proposed.

Country
Italy
Related Organizations
Keywords

DSMC; viscosity exponential law; micro-channel; film deposition, viscosity exponential law, micro-channel, film deposition, DSMC

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green