From Multiscale Modeling to Meso-Science

A Chemical Engineering Perspective. Principles, Modeling, Simulation, and Applications

From Multiscale Modeling to Meso-Science

A Chemical Engineering Perspective. Principles, Modeling, Simulation, and Applications

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Multiscale modeling is becoming essential for accurate, rapid simulation in science and engineering. This book presents the results of three decades of research on multiscale modeling in process engineering from principles to application, and its generalization for different fields. This book considers the universality of meso-scale phenomena for the first time, and provides insight into the emerging discipline that unifies them, meso-science, as well as new perspectives for virtual process engineering.

Multiscale modeling is applied in areas including:

  • multiphase flow and fluid dynamics
  • chemical, biochemical and process engineering
  • mineral processing and metallurgical engineering
  • energy and resources
  • materials science and engineering

Jinghai Li is Vice-President of the Chinese Academy of Sciences (CAS), a professor at the Institute of Process Engineering, CAS, and leader of the EMMS (Energy-minimizing multiscale) Group.

Wei Ge, Wei Wang, Ning Yang and Junwu Wang are professors at the EMMS Group, part of the Institute of Process Engineering, CAS.

Xinhua Liu, Limin Wang, Xianfeng He and Xiaowei Wang are associate professors at the EMMS Group, part of the Institute of Process Engineering, CAS.

Mooson Kwauk is an emeritus director of the Institute of Process Engineering, CAS, and is an advisor to the EMMS Group.



Footprint and Profile
Meso-scale Modeling-the EMMS Model for Gas-Solid Systems
Verification of the EMMS model with pseudo-particle modeling
Extension of the EMMS Model to Gas-Liquid Systems
From EMMS Model to EMMS Paradigm
Partial Realization of the EMMS Paradigm
Complete Realization of the EMMS Paradigm
Applications in Industry
Academic Applications of EMMS-based Models
Many-core Programming
Software
Experimental Characterization of Meso-scale Behaviors
Perspectives: Meso-science and Virtual Process Engineering.

ISBN 978-3-642-35188-4
Artikelnummer 9783642351884
Medientyp Buch
Copyrightjahr 2013
Verlag Springer, Berlin
Umfang XXVI, 484 Seiten
Abbildungen XXVI, 484 p.
Sprache Englisch