Cargando…
Experimental and Statistical Analysis of Saw Mill Wood Waste Composite Properties for Practical Applications
The utilization of composite materials is increasing at a growing rate in almost all types of products, due to their strength-to-stiffness ratio. From this perspective, natural waste composites, i.e., wood waste composites, have also been investigated for their effective and sustainable employment....
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8623938/ https://www.ncbi.nlm.nih.gov/pubmed/34833336 http://dx.doi.org/10.3390/polym13224038 |
_version_ | 1784606052077010944 |
---|---|
author | Khan, Muhammad Usman Abas, Muhammad Noor, Sahar Salah, Bashir Saleem, Waqas Khan, Razaullah |
author_facet | Khan, Muhammad Usman Abas, Muhammad Noor, Sahar Salah, Bashir Saleem, Waqas Khan, Razaullah |
author_sort | Khan, Muhammad Usman |
collection | PubMed |
description | The utilization of composite materials is increasing at a growing rate in almost all types of products, due to their strength-to-stiffness ratio. From this perspective, natural waste composites, i.e., wood waste composites, have also been investigated for their effective and sustainable employment. This paper deals with the application of hard and soft wood waste (i.e., acacia and cedar wood) with epoxy resin polymer to develop high strength and thermally stable wood composites. Mechanical (tensile, flexural, impact, and hardness) and thermal properties of samples are studied using Differential Scanning Calorimeter (DSC) and Thermo Gravimetric Analysis (TGA), respectively. The properties are evaluated by varying the type of wood waste and its percentage by weight. Based on the Taguchi Orthogonal Array Mixture Design, eighteen experiments are investigated. Analysis of variance (ANOVA) results show that wood waste type and wood waste content have a significant effect on all mechanical properties. From the TGA analysis, it is predicted that both types of wood waste composites exhibit similar thermal-induced degradation profiles in terms of the initial and final degradation temperatures. From the DSC results, higher glass transition temperature T(g) is detected in 10% of the hardwood waste composite, and a reducing tendency of glass transition temperature T(g) is observed with exceeding wood waste content. Moreover, hardwood waste at 10% demonstrated improved decomposition temperature T(d), due to strong adhesion between waste and matrix. |
format | Online Article Text |
id | pubmed-8623938 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-86239382021-11-27 Experimental and Statistical Analysis of Saw Mill Wood Waste Composite Properties for Practical Applications Khan, Muhammad Usman Abas, Muhammad Noor, Sahar Salah, Bashir Saleem, Waqas Khan, Razaullah Polymers (Basel) Article The utilization of composite materials is increasing at a growing rate in almost all types of products, due to their strength-to-stiffness ratio. From this perspective, natural waste composites, i.e., wood waste composites, have also been investigated for their effective and sustainable employment. This paper deals with the application of hard and soft wood waste (i.e., acacia and cedar wood) with epoxy resin polymer to develop high strength and thermally stable wood composites. Mechanical (tensile, flexural, impact, and hardness) and thermal properties of samples are studied using Differential Scanning Calorimeter (DSC) and Thermo Gravimetric Analysis (TGA), respectively. The properties are evaluated by varying the type of wood waste and its percentage by weight. Based on the Taguchi Orthogonal Array Mixture Design, eighteen experiments are investigated. Analysis of variance (ANOVA) results show that wood waste type and wood waste content have a significant effect on all mechanical properties. From the TGA analysis, it is predicted that both types of wood waste composites exhibit similar thermal-induced degradation profiles in terms of the initial and final degradation temperatures. From the DSC results, higher glass transition temperature T(g) is detected in 10% of the hardwood waste composite, and a reducing tendency of glass transition temperature T(g) is observed with exceeding wood waste content. Moreover, hardwood waste at 10% demonstrated improved decomposition temperature T(d), due to strong adhesion between waste and matrix. MDPI 2021-11-22 /pmc/articles/PMC8623938/ /pubmed/34833336 http://dx.doi.org/10.3390/polym13224038 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Khan, Muhammad Usman Abas, Muhammad Noor, Sahar Salah, Bashir Saleem, Waqas Khan, Razaullah Experimental and Statistical Analysis of Saw Mill Wood Waste Composite Properties for Practical Applications |
title | Experimental and Statistical Analysis of Saw Mill Wood Waste Composite Properties for Practical Applications |
title_full | Experimental and Statistical Analysis of Saw Mill Wood Waste Composite Properties for Practical Applications |
title_fullStr | Experimental and Statistical Analysis of Saw Mill Wood Waste Composite Properties for Practical Applications |
title_full_unstemmed | Experimental and Statistical Analysis of Saw Mill Wood Waste Composite Properties for Practical Applications |
title_short | Experimental and Statistical Analysis of Saw Mill Wood Waste Composite Properties for Practical Applications |
title_sort | experimental and statistical analysis of saw mill wood waste composite properties for practical applications |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8623938/ https://www.ncbi.nlm.nih.gov/pubmed/34833336 http://dx.doi.org/10.3390/polym13224038 |
work_keys_str_mv | AT khanmuhammadusman experimentalandstatisticalanalysisofsawmillwoodwastecompositepropertiesforpracticalapplications AT abasmuhammad experimentalandstatisticalanalysisofsawmillwoodwastecompositepropertiesforpracticalapplications AT noorsahar experimentalandstatisticalanalysisofsawmillwoodwastecompositepropertiesforpracticalapplications AT salahbashir experimentalandstatisticalanalysisofsawmillwoodwastecompositepropertiesforpracticalapplications AT saleemwaqas experimentalandstatisticalanalysisofsawmillwoodwastecompositepropertiesforpracticalapplications AT khanrazaullah experimentalandstatisticalanalysisofsawmillwoodwastecompositepropertiesforpracticalapplications |