Moisture transport in polymer composite materials : computational modelling and experiments / J.M.P.Q. Delgado, A. G. Barbosa de Lima, Laura H. Carvalho.
Delgado, João M. P. Q., author.; Lima, A. G. Barbosa de (Antonio Gilson Barbosa de), author.; Carvalho, Laura H. author.
2022
TA418.9.C6
Available Online

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Title
Moisture transport in polymer composite materials : computational modelling and experiments / J.M.P.Q. Delgado, A. G. Barbosa de Lima, Laura H. Carvalho.
Author
Delgado, João M. P. Q., author.
ISBN
9783030778262 (electronic bk.)
3030778266 (electronic bk.)
9783030778255 (print)
3030778258
DOI
https://doi.org/10.1007/978-3-030-77826-2
Published
Cham, Switzerland : Springer, 2022.
Language
English
Description
1 online resource (xii, 101 pages) : illustrations (some color).
Item Number
10.1007/978-3-030-77826-2 doi
Call Number
TA418.9.C6
Dewey Decimal Classification
620.1/92
Summary
This book provides valuable information about fiber-reinforced polymer composites, with emphasis in the process of water absorption by experiments and simulation. In this monograph, we present and discuss emerging topics related to fundamentals, engineering applications, advanced mathematical modeling applied to Fickian and non-Fickian diffusion processes, analytical and computational procedures and experiments on water absorption of polymer composites reinforced by vegetable fibers. The book serves as a comprehensive learning tool for engineers, professionals, and researchers involved in this advanced interdisciplinary field, and as a reference work for both undergraduate and graduate courses.
Bibliography, etc. Note
Includes bibliographical references.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed March 24, 2022).
Added Author
Lima, A. G. Barbosa de (Antonio Gilson Barbosa de), author.
Carvalho, Laura H. author.
Series
Advanced structured materials ; 160. 1869-8441
Available in Other Form
Print version: 9783030778255
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Introduction
Fundamentals
Experimental Analysis
Fick´s Model Analysis
Langmuir-type Model Analysis
Conclusions.

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