Towards Mesoscience

Produktinformationen "Towards Mesoscience"
This brief is devoted to providing a complete outline of meso-science by briefing the relevant contents from the published book and by updating evidences and concepts of meso-science. The importance of meso-science in solving various problems in energy, resource, and the environment is introduced.  The whole evolutionary development of the EMMS principle is reviewed to show how a simple idea on the customized modeling of particle clustering in gas-solid systems was developed, verified, extended, and finally generalized into the common principle of compromise in competition between dominant mechanisms for all mesoscale phenomena in science and engineering, leading to the proposition of meso-science. More importantly, updates on the concept of meso-science and perspectives are presented, along with new insights and findings from after the publication of the original book. In this way, we hope to help readers more easily familiarize themselves with meso-science, and to trigger interest and attention to this interdisciplinary field.  Application areas include: multiphase flow and fluid dynamicschemical, biochemical and process engineeringmineral processing and metallurgical engineeringenergy and resourcesmaterial science and engineeringJinghai Li is vice president of Chinese Academy of Sciences (CAS), professor at Institute of Process Engineering of CAS. Wenlai Huang is associate professor at Institute of Process Engineering of CAS. This book has been translated into Chinese and published by Science Press, please visit here for the Chinese version: http://www.sciencep.com/s_single.php?id=35751
Autor: Huang, Wenlai Li, Jinghai
ISBN: 9783642417894
Verlag: Springer Berlin
Auflage: 1
Sprache: Englisch
Seitenzahl: 78
Produktart: Kartoniert / Broschiert
Erscheinungsdatum: 04.02.2014
Verlag: Springer Berlin
Untertitel: The Principle of Compromise in Competition
Schlagworte: Chemical engineering Complexity Compromise in competition Computational fluid dynamics Drag EMMS model EMMS paradigm Fluidized bed GPU Mesoscale