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Modeling of Gas-to-Particle Mass Transfer in Turbulent Flows (Paperback, 1st ed. 2018) Loot Price: R1,710
Discovery Miles 17 100
Repayment Terms: R160 pm x 12*
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Modeling of Gas-to-Particle Mass Transfer in Turbulent Flows (Paperback, 1st ed. 2018): Sean C. Garrick, Michael Buhlmann

Modeling of Gas-to-Particle Mass Transfer in Turbulent Flows (Paperback, 1st ed. 2018)

Sean C. Garrick, Michael Buhlmann

Series: SpringerBriefs in Thermal Engineering and Applied Science

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Loot Price R1,710 Discovery Miles 17 100 | Repayment Terms: R160 pm x 12*

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This Brief focuses on the dispersion of high-porosity particles, their entrainment into the vapor-laden stream, and the condensation of vapor onto the particles. The authors begin with a simple/static problem, focusing on transport within the particle. They go on to consider the high-resolution simulation of particles in a turbulent flow and the time-dependent evolution of the fluid-particle fields. Finally, they examine the more computationally-affordable large-eddy simulation of gas-to-particle mass-transfer. The book ends with a summary and challenges as well as directions for the area.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: SpringerBriefs in Thermal Engineering and Applied Science
Release date: July 2017
First published: 2018
Authors: Sean C. Garrick • Michael Buhlmann
Dimensions: 235 x 155 x 23mm (L x W x T)
Format: Paperback
Pages: 61
Edition: 1st ed. 2018
ISBN-13: 978-3-319-59583-2
Categories: Books > Science & Mathematics > Physics > Atomic & molecular physics
Books > Science & Mathematics > Physics > Thermodynamics & statistical physics > Thermodynamics
Books > Professional & Technical > Industrial chemistry & manufacturing technologies > Industrial chemistry > General
Books > Professional & Technical > Mechanical engineering & materials > Materials science > Engineering thermodynamics
Books > Professional & Technical > Mechanical engineering & materials > Materials science > Mechanics of fluids > General
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LSN: 3-319-59583-0
Barcode: 9783319595832

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