Evidence map›Paper›PMID 34833336›Full record

ArticlePolymers2021

Experimental and Statistical Analysis of Saw Mill Wood Waste Composite Properties for Practical Applications.

Muhammad Usman Khan, Muhammad Abas, Sahar Noor, Bashir Salah, Waqas Saleem, Razaullah Khan

Abstract read
In one paragraph

Article in Polymers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Muhammad Usman KhanDepartment of Industrial Engineering, University of Engineering and Technology, Peshawar 25100, Pakistan.
Muhammad AbasDepartment of Industrial Engineering, University of Engineering and Technology, Peshawar 25100, Pakistan.ORCID 0000-0002-9294-2964
Sahar NoorDepartment of Industrial Engineering, University of Engineering and Technology, Peshawar 25100, Pakistan.
Bashir SalahIndustrial Engineering Department, College of Engineering, King Saud University, P.O. Box 800, Riyadh 11421, Saudi Arabia.ORCID 0000-0001-5254-7698
Waqas SaleemDepartment of Mechanical and Manufacturing Engineering, Institute of Technology, F91 YW50 Sligo, Ireland.ORCID 0000-0001-6454-4814
Razaullah KhanDepartment of Engineering Management, University of Engineering and Applied Sciences, Swat, Mingora 19060, Pakistan.ORCID 0000-0001-8280-5707

Funding

King Saud University RSP-2021/145
6 · The paper itself

Abstract

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

Indexed as

differential scanning calorimeterepoxy resingrey relational analysistaguchi methodthermos gravimetric analysiswood waste

Identifiers

PMID34833336
PMCPMC8623938

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.