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Computational Fluid and Particle Dynamics (CFPD): An Introduction

Computational Fluid Particle Dynamics (CFPD) is an emerging research field that involves interdisciplinary research areas with a broad range of applications. Fluid-particle flows can be found all around us, from the airborne particles we breathe to industrial applications such as fuel spray in inter...

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Detalles Bibliográficos
Autores principales: Tu, Jiyuan, Inthavong, Kiao, Ahmadi, Goodarz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7123128/
http://dx.doi.org/10.1007/978-94-007-4488-2_1
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author Tu, Jiyuan
Inthavong, Kiao
Ahmadi, Goodarz
author_facet Tu, Jiyuan
Inthavong, Kiao
Ahmadi, Goodarz
author_sort Tu, Jiyuan
collection PubMed
description Computational Fluid Particle Dynamics (CFPD) is an emerging research field that involves interdisciplinary research areas with a broad range of applications. Fluid-particle flows can be found all around us, from the airborne particles we breathe to industrial applications such as fuel spray in internal combustion engines, fluidised bed combustors, and mineral processing to name a few. In the health, pharmaceutical, and biomedical fields, interest is increasing in the use of computational modelling for inhalation toxicology analysis, effectiveness of drug delivery systems, respiratory and physiological flows. Computational modelling is being used in many industries as a valuable tool for cost and cycle time reductions during product development, and it can provide proof of concept for model designs. This technique has been encouraged by the rapid developments in computational models to reflect the physics, which is in line with the increase in computing power.
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spelling pubmed-71231282020-04-06 Computational Fluid and Particle Dynamics (CFPD): An Introduction Tu, Jiyuan Inthavong, Kiao Ahmadi, Goodarz Computational Fluid and Particle Dynamics in the Human Respiratory System Article Computational Fluid Particle Dynamics (CFPD) is an emerging research field that involves interdisciplinary research areas with a broad range of applications. Fluid-particle flows can be found all around us, from the airborne particles we breathe to industrial applications such as fuel spray in internal combustion engines, fluidised bed combustors, and mineral processing to name a few. In the health, pharmaceutical, and biomedical fields, interest is increasing in the use of computational modelling for inhalation toxicology analysis, effectiveness of drug delivery systems, respiratory and physiological flows. Computational modelling is being used in many industries as a valuable tool for cost and cycle time reductions during product development, and it can provide proof of concept for model designs. This technique has been encouraged by the rapid developments in computational models to reflect the physics, which is in line with the increase in computing power. 2012-09-18 /pmc/articles/PMC7123128/ http://dx.doi.org/10.1007/978-94-007-4488-2_1 Text en © Springer Science+Business Media Dordrecht 2013 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Tu, Jiyuan
Inthavong, Kiao
Ahmadi, Goodarz
Computational Fluid and Particle Dynamics (CFPD): An Introduction
title Computational Fluid and Particle Dynamics (CFPD): An Introduction
title_full Computational Fluid and Particle Dynamics (CFPD): An Introduction
title_fullStr Computational Fluid and Particle Dynamics (CFPD): An Introduction
title_full_unstemmed Computational Fluid and Particle Dynamics (CFPD): An Introduction
title_short Computational Fluid and Particle Dynamics (CFPD): An Introduction
title_sort computational fluid and particle dynamics (cfpd): an introduction
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7123128/
http://dx.doi.org/10.1007/978-94-007-4488-2_1
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