Viscoelasticity of Polymers - Theory and Numerical Algorithms (Hardcover, 1st ed. 2016)

This book offers a comprehensive introduction to polymer rheology with a focus on the viscoelastic characterization of polymeric materials. It contains various numerical algorithms for the processing of viscoelastic data, from basic principles to advanced examples which are hard to find in the existing literature. The book takes a multidisciplinary approach to the study of the viscoelasticity of polymers, and is self-contained, including the essential mathematics, continuum mechanics, polymer science and statistical mechanics needed to understand the theories of polymer viscoelasticity. It covers recent achievements in polymer rheology, such as theoretical and experimental aspects of large amplitude oscillatory shear (LAOS), and numerical methods for linear viscoelasticity, as well as new insights into the interpretation of experimental data. Although the book is balanced between the theoretical and experimental aspects of polymer rheology, the author's particular interest in the theoretical side will not remain hidden. Aimed at readers familiar with the mathematics and physics of engineering at an undergraduate level, the multidisciplinary approach employed enables researchers with various scientific backgrounds to expand their knowledge of polymer rheology in a systematic way.

General

Imprint:	Springer
Country of origin:	Netherlands
Series:	Springer Series in Materials Science, 241
Release date:	March 2016
First published:	2016
Authors:	Kwang Soo Cho
Dimensions:	235 x 155 x 39mm (L x W x T)
Format:	Hardcover
Pages:	612
Edition:	1st ed. 2016
ISBN-13:	978-9401775625
Categories:	Books > Science & Mathematics > Physics > States of matter > General Books > Professional & Technical > Mechanical engineering & materials > Materials science > Mechanics of fluids > Flow, turbulence, rheology Books > Professional & Technical > Mechanical engineering & materials > Materials science > Testing of materials > General Promotions
LSN:	9401775621
Barcode:	9789401775625

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