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Simulation of high Schmidt number fluids with dissipative particle dynamics: Parameter identification and robust viscosity evaluation
Dissipative particle dynamics (DPD) is a widely used coarse-grained technique for the simulation of complex fluids. Although the method is capable of describing the hydrodynamics of any fluid, the common choice of DPD parameters, such as friction coefficient γ, dissipative cutoff radius r c D, coars...
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Published in: | Physics of fluids (1994) 2021-07, Vol.33 (7) |
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container_issue | 7 |
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container_title | Physics of fluids (1994) |
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creator | Lauriello, N. Kondracki, J. Buffo, A. Boccardo, G. Bouaifi, M. Lisal, M. Marchisio, D. |
description | Dissipative particle dynamics (DPD) is a widely used coarse-grained technique for the simulation of complex fluids. Although the method is capable of describing the hydrodynamics of any fluid, the common choice of DPD parameters, such as friction coefficient γ, dissipative cutoff radius
r
c
D, coarse-graining factor Nm and weighting function exponent s, unrealistically leads to the simulation of liquid water with a low Schmidt number Sc at standard pressure and temperature. In this work we explored the influence of these parameters, finding the set of parameters needed to properly simulate liquid water. Particular attention was devoted to the numerical techniques to calculate the transport properties from equilibrium simulations, especially in the calculation of the viscosity, comparing the most commonly adopted techniques and formulating a recipe that can be used for further investigations. |
doi_str_mv | 10.1063/5.0055344 |
format | article |
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r
c
D, coarse-graining factor Nm and weighting function exponent s, unrealistically leads to the simulation of liquid water with a low Schmidt number Sc at standard pressure and temperature. In this work we explored the influence of these parameters, finding the set of parameters needed to properly simulate liquid water. Particular attention was devoted to the numerical techniques to calculate the transport properties from equilibrium simulations, especially in the calculation of the viscosity, comparing the most commonly adopted techniques and formulating a recipe that can be used for further investigations.</description><identifier>ISSN: 1070-6631</identifier><identifier>EISSN: 1089-7666</identifier><identifier>DOI: 10.1063/5.0055344</identifier><identifier>CODEN: PHFLE6</identifier><language>eng</language><publisher>Melville: American Institute of Physics</publisher><subject>Coefficient of friction ; Computational fluid dynamics ; Dissipation factor ; Fluid dynamics ; Fluid flow ; Granulation ; Hydrodynamics ; Parameter identification ; Parameter robustness ; Physics ; Robustness (mathematics) ; Schmidt number ; Simulation ; Transport properties ; Viscosity ; Water ; Weighting functions</subject><ispartof>Physics of fluids (1994), 2021-07, Vol.33 (7)</ispartof><rights>Author(s)</rights><rights>2021 Author(s). Published under an exclusive license by AIP Publishing.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c362t-ea979d6694fb517a0645fd813df91243d37add6d566da391f9303a04426aeae53</citedby><cites>FETCH-LOGICAL-c362t-ea979d6694fb517a0645fd813df91243d37add6d566da391f9303a04426aeae53</cites><orcidid>0000-0003-4387-5205 ; 0000-0003-1264-8237 ; 0000-0002-9104-0571 ; 0000-0002-4152-0593 ; 0000-0001-8005-7143 ; 0000-0003-2539-4862</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,1559,27924,27925</link.rule.ids></links><search><creatorcontrib>Lauriello, N.</creatorcontrib><creatorcontrib>Kondracki, J.</creatorcontrib><creatorcontrib>Buffo, A.</creatorcontrib><creatorcontrib>Boccardo, G.</creatorcontrib><creatorcontrib>Bouaifi, M.</creatorcontrib><creatorcontrib>Lisal, M.</creatorcontrib><creatorcontrib>Marchisio, D.</creatorcontrib><title>Simulation of high Schmidt number fluids with dissipative particle dynamics: Parameter identification and robust viscosity evaluation</title><title>Physics of fluids (1994)</title><description>Dissipative particle dynamics (DPD) is a widely used coarse-grained technique for the simulation of complex fluids. Although the method is capable of describing the hydrodynamics of any fluid, the common choice of DPD parameters, such as friction coefficient γ, dissipative cutoff radius
r
c
D, coarse-graining factor Nm and weighting function exponent s, unrealistically leads to the simulation of liquid water with a low Schmidt number Sc at standard pressure and temperature. In this work we explored the influence of these parameters, finding the set of parameters needed to properly simulate liquid water. 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Although the method is capable of describing the hydrodynamics of any fluid, the common choice of DPD parameters, such as friction coefficient γ, dissipative cutoff radius
r
c
D, coarse-graining factor Nm and weighting function exponent s, unrealistically leads to the simulation of liquid water with a low Schmidt number Sc at standard pressure and temperature. In this work we explored the influence of these parameters, finding the set of parameters needed to properly simulate liquid water. Particular attention was devoted to the numerical techniques to calculate the transport properties from equilibrium simulations, especially in the calculation of the viscosity, comparing the most commonly adopted techniques and formulating a recipe that can be used for further investigations.</abstract><cop>Melville</cop><pub>American Institute of Physics</pub><doi>10.1063/5.0055344</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0003-4387-5205</orcidid><orcidid>https://orcid.org/0000-0003-1264-8237</orcidid><orcidid>https://orcid.org/0000-0002-9104-0571</orcidid><orcidid>https://orcid.org/0000-0002-4152-0593</orcidid><orcidid>https://orcid.org/0000-0001-8005-7143</orcidid><orcidid>https://orcid.org/0000-0003-2539-4862</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Coefficient of friction Computational fluid dynamics Dissipation factor Fluid dynamics Fluid flow Granulation Hydrodynamics Parameter identification Parameter robustness Physics Robustness (mathematics) Schmidt number Simulation Transport properties Viscosity Water Weighting functions |
title | Simulation of high Schmidt number fluids with dissipative particle dynamics: Parameter identification and robust viscosity evaluation |
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