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Accelerated testing methodology for long-term life prediction of cellulose-based polymeric composite materials


Citation

Muhamad, Ida Idayu and Zahan, Khairul Azly and Pa'e, Norhayati and Salehudin, Mohd Harfiz and Khairuddin, Nozieana and Mohd Marsin, Aishah and Mohd Yusof, Abd Halim and Salleh, Eraricar (2019) Accelerated testing methodology for long-term life prediction of cellulose-based polymeric composite materials. In: Durability and life prediction in biocomposites, fibre-reinforced composites and hybrid composites. Woodhead Publisher, United Kingdom, 149 - 171. ISBN 9780081022900

Abstract

This chapter reviews literature concerning reports on the failure mechanisms that are commonly experienced in the techniques that have been developed to predict life expectancy of polymeric composite materials. It summarizes the main degradation mechanisms in polymeric composite materials, techniques used for estimating the life expectancy of polymers, standards for life prediction, and the properties of cellulose-based polymeric composites. The case study demonstrated the effects of incorporating cellulose derived from several resources to the properties of sand-cement block. The compressive strength of sand-cement block incorporated with bacterial cellulose was evaluated for three different periods. Results showed that bacterial cellulose nanofibers enhance the durability of bricks by increasing their compressive strength up to 27% and reducing the permeability and density of the sand-cement block. In conclusion, accelerated methodology is useful as a potential tool or vehicle for shelf life prediction of composite polymeric materials.


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Additional Metadata

Item Type: Book Section
Divisions: Faculty of Agriculture and Food Sciences
DOI Number: https://doi.org/10.1016/B978-0-08-102290-0.00008-8
Publisher: Woodhead Publisher
Keywords: Accelerated method; Biocement composites; Durability; Polymeric materials; Shelf life prediction
Depositing User: Azhar Abdul Rahman
Date Deposited: 03 Jan 2021 00:32
Last Modified: 03 Jan 2021 00:32
Altmetrics: http://altmetrics.com-details.php?domain=psair.upm.edu.my&doi=10.1016/B978-0-08-102290-0.00008-8
URI: http://psasir.upm.edu.my/id/eprint/78656
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