TY  - GEN
N2  - This book is for engineers and students to solve issues concerning the fluidized bed systems. It presents an analysis that focuses directly on the problem of predicting the fluid dynamic behavior which empirical data is limited or unavailable. The second objective is to provide a treatment of computational fluidization dynamics that is readily accessible to the non-specialist. The approach adopted in this book, starting with the formulation of predictive expressions for the basic conservation equations for mass and momentum using kinetic theory of granular flow. The analyses presented in this book represent a body of simulations and experiments research that has appeared in numerous publications over the last 20 years. This material helps to form the basis for university course modules in engineering and applied science at undergraduate and graduate level, as well as focused, post-experienced courses for the process, and allied industries.
DO  - 10.1007/978-981-16-1558-0
DO  - doi
AB  - This book is for engineers and students to solve issues concerning the fluidized bed systems. It presents an analysis that focuses directly on the problem of predicting the fluid dynamic behavior which empirical data is limited or unavailable. The second objective is to provide a treatment of computational fluidization dynamics that is readily accessible to the non-specialist. The approach adopted in this book, starting with the formulation of predictive expressions for the basic conservation equations for mass and momentum using kinetic theory of granular flow. The analyses presented in this book represent a body of simulations and experiments research that has appeared in numerous publications over the last 20 years. This material helps to form the basis for university course modules in engineering and applied science at undergraduate and graduate level, as well as focused, post-experienced courses for the process, and allied industries.
T1  - Computational fluid dynamics and the theory of fluidization :applications of the kinetic theory of granular flow /
DA  - 2021.
CY  - Singapore :
AU  - Lu, Huilin.
AU  - Gidaspow, Dimitri,
AU  - Wang, Shuyan.
CN  - TA357.5.D37
PB  - Springer,
PP  - Singapore :
PY  - 2021.
ID  - 1436395
KW  - Computational fluid dynamics.
KW  - Dynamique des fluides numérique.
SN  - 9789811615580
SN  - 9811615586
TI  - Computational fluid dynamics and the theory of fluidization :applications of the kinetic theory of granular flow /
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-16-1558-0
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-16-1558-0
ER  -