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Particulate Morphology - Mathematics Applied to Particle Assemblies (Hardcover, New) Loot Price: R1,592
Discovery Miles 15 920
You Save: R447 (22%)
Particulate Morphology - Mathematics Applied to Particle Assemblies (Hardcover, New): Keishi Gotoh

Particulate Morphology - Mathematics Applied to Particle Assemblies (Hardcover, New)

Keishi Gotoh

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List price R2,039 Loot Price R1,592 Discovery Miles 15 920 | Repayment Terms: R149 pm x 12* You Save R447 (22%)

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Encompassing over fifty years of research, Professor Gotoh addresses the correlation function of spatial structures and the statistical geometry of random particle assemblies. In this book morphological study is formed into random particle assemblies to which various mathematics are applied such as correlation function, radial distribution function and statistical geometry. This leads to the general comparison between the thermodynamic state such as gases and liquids and the random particle assemblies. Although structures of molecular configurations change at every moment due to thermal vibration, liquids can be regarded as random packing of particles. Similarly, gaseous states correspond to particle dispersion. If physical and chemical properties are taken away from the subject, the remainder is the structure itself. Hence, the structural study is ubiquitous and of fundamental importance. This book will prove useful to chemical engineers working on powder technology as well as mathematicians interested in learning more about the subject.
Concisely explains various mathematics and tools applied to the subject.Incorporates multiple fields to give a clear view of the application of mathematics in powder technology.

General

Imprint: Elsevier Science Publishing Co Inc
Country of origin: United States
Release date: March 2012
First published: 2012
Authors: Keishi Gotoh
Dimensions: 229 x 152 x 6mm (L x W x T)
Format: Hardcover
Pages: 96
Edition: New
ISBN-13: 978-0-12-396974-3
Categories: Books > Science & Mathematics > Mathematics > Algebra > General
Books > Science & Mathematics > Mathematics > Geometry > General
Books > Science & Mathematics > Mathematics > Applied mathematics > General
Books > Academic & Education > Professional & Technical > Mathematics
LSN: 0-12-396974-3
Barcode: 9780123969743

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