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Introduction to computational mass transfer: with applications to chemical engineering

This book presents a new computational methodology called Computational Mass Transfer (CMT). It offers an approach to rigorously simulating the mass, heat and momentum transfer under turbulent flow conditions with the help of two newly published models, namely the C’2—εC’ model and the Reynolds  mas...

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Detalles Bibliográficos
Autores principales: Yu, Kuo-Tsong, Yuan, Xigang
Lenguaje:eng
Publicado: Springer 2014
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-642-53911-4
http://cds.cern.ch/record/1666194
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author Yu, Kuo-Tsong
Yuan, Xigang
author_facet Yu, Kuo-Tsong
Yuan, Xigang
author_sort Yu, Kuo-Tsong
collection CERN
description This book presents a new computational methodology called Computational Mass Transfer (CMT). It offers an approach to rigorously simulating the mass, heat and momentum transfer under turbulent flow conditions with the help of two newly published models, namely the C’2—εC’ model and the Reynolds  mass flux model, especially with regard to predictions of concentration, temperature and velocity distributions in chemical and related processes. The book will also allow readers to understand the interfacial phenomena accompanying the mass transfer process and methods for modeling the interfacial effect, such as the influences of Marangoni convection and Rayleigh convection. The CMT methodology is demonstrated by means of its applications to typical separation and chemical reaction processes and equipment, including distillation, absorption, adsorption and chemical reactors. Professor Kuo-Tsong Yu is a Member of the Chinese Academy of Sciences. Dr. Xigang Yuan is a Professor at the School of Chemical Engineering and Technology, Tianjin University, China.
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spelling cern-16661942021-04-21T21:16:04Zdoi:10.1007/978-3-642-53911-4http://cds.cern.ch/record/1666194engYu, Kuo-TsongYuan, XigangIntroduction to computational mass transfer: with applications to chemical engineeringEngineeringThis book presents a new computational methodology called Computational Mass Transfer (CMT). It offers an approach to rigorously simulating the mass, heat and momentum transfer under turbulent flow conditions with the help of two newly published models, namely the C’2—εC’ model and the Reynolds  mass flux model, especially with regard to predictions of concentration, temperature and velocity distributions in chemical and related processes. The book will also allow readers to understand the interfacial phenomena accompanying the mass transfer process and methods for modeling the interfacial effect, such as the influences of Marangoni convection and Rayleigh convection. The CMT methodology is demonstrated by means of its applications to typical separation and chemical reaction processes and equipment, including distillation, absorption, adsorption and chemical reactors. Professor Kuo-Tsong Yu is a Member of the Chinese Academy of Sciences. Dr. Xigang Yuan is a Professor at the School of Chemical Engineering and Technology, Tianjin University, China.Springeroai:cds.cern.ch:16661942014
spellingShingle Engineering
Yu, Kuo-Tsong
Yuan, Xigang
Introduction to computational mass transfer: with applications to chemical engineering
title Introduction to computational mass transfer: with applications to chemical engineering
title_full Introduction to computational mass transfer: with applications to chemical engineering
title_fullStr Introduction to computational mass transfer: with applications to chemical engineering
title_full_unstemmed Introduction to computational mass transfer: with applications to chemical engineering
title_short Introduction to computational mass transfer: with applications to chemical engineering
title_sort introduction to computational mass transfer: with applications to chemical engineering
topic Engineering
url https://dx.doi.org/10.1007/978-3-642-53911-4
http://cds.cern.ch/record/1666194
work_keys_str_mv AT yukuotsong introductiontocomputationalmasstransferwithapplicationstochemicalengineering
AT yuanxigang introductiontocomputationalmasstransferwithapplicationstochemicalengineering