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....

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Autores principales: Muhammad Usman Khan, Muhammad Abas, Sahar Noor, Bashir Salah, Waqas Saleem, Razaullah Khan
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/0a357d2118ed43aa9e0b63c298f3da1f
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spelling oai:doaj.org-article:0a357d2118ed43aa9e0b63c298f3da1f2021-11-25T18:49:35ZExperimental and Statistical Analysis of Saw Mill Wood Waste Composite Properties for Practical Applications10.3390/polym132240382073-4360https://doaj.org/article/0a357d2118ed43aa9e0b63c298f3da1f2021-11-01T00:00:00Zhttps://www.mdpi.com/2073-4360/13/22/4038https://doaj.org/toc/2073-4360The 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<sub>g</sub> is detected in 10% of the hardwood waste composite, and a reducing tendency of glass transition temperature T<sub>g</sub> is observed with exceeding wood waste content. Moreover, hardwood waste at 10% demonstrated improved decomposition temperature T<sub>d</sub>, due to strong adhesion between waste and matrix.Muhammad Usman KhanMuhammad AbasSahar NoorBashir SalahWaqas SaleemRazaullah KhanMDPI AGarticlewood wasteepoxy resindifferential scanning calorimeterthermos gravimetric analysistaguchi methodgrey relational analysisOrganic chemistryQD241-441ENPolymers, Vol 13, Iss 4038, p 4038 (2021)
institution DOAJ
collection DOAJ
language EN
topic wood waste
epoxy resin
differential scanning calorimeter
thermos gravimetric analysis
taguchi method
grey relational analysis
Organic chemistry
QD241-441
spellingShingle wood waste
epoxy resin
differential scanning calorimeter
thermos gravimetric analysis
taguchi method
grey relational analysis
Organic chemistry
QD241-441
Muhammad Usman Khan
Muhammad Abas
Sahar Noor
Bashir Salah
Waqas Saleem
Razaullah Khan
Experimental and Statistical Analysis of Saw Mill Wood Waste Composite Properties for Practical Applications
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<sub>g</sub> is detected in 10% of the hardwood waste composite, and a reducing tendency of glass transition temperature T<sub>g</sub> is observed with exceeding wood waste content. Moreover, hardwood waste at 10% demonstrated improved decomposition temperature T<sub>d</sub>, due to strong adhesion between waste and matrix.
format article
author Muhammad Usman Khan
Muhammad Abas
Sahar Noor
Bashir Salah
Waqas Saleem
Razaullah Khan
author_facet Muhammad Usman Khan
Muhammad Abas
Sahar Noor
Bashir Salah
Waqas Saleem
Razaullah Khan
author_sort Muhammad Usman Khan
title 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_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_sort experimental and statistical analysis of saw mill wood waste composite properties for practical applications
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/0a357d2118ed43aa9e0b63c298f3da1f
work_keys_str_mv AT muhammadusmankhan experimentalandstatisticalanalysisofsawmillwoodwastecompositepropertiesforpracticalapplications
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