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Analysis of the Effect of Parameters on Fracture Toughness of Hemp Fiber Reinforced Hybrid Composites Using the ANOVA Method
In today’s world, global warming has become a concern. To overcome this, we need to reduce the carbon footprints caused by the production of materials. Much of the time, this is equivalent to the same amount of CO(2) emissions per tonne of production. This is a serious concern and needs to be overco...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8433991/ https://www.ncbi.nlm.nih.gov/pubmed/34503052 http://dx.doi.org/10.3390/polym13173013 |
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author | Madhusudhana, H. K. Kumar, M. Prasanna Patil, Arun Y. Keshavamurthy, R. Khan, T. M. Yunus Badruddin, Irfan Anjum Kamangar, Sarfaraz |
author_facet | Madhusudhana, H. K. Kumar, M. Prasanna Patil, Arun Y. Keshavamurthy, R. Khan, T. M. Yunus Badruddin, Irfan Anjum Kamangar, Sarfaraz |
author_sort | Madhusudhana, H. K. |
collection | PubMed |
description | In today’s world, global warming has become a concern. To overcome this, we need to reduce the carbon footprints caused by the production of materials. Much of the time, this is equivalent to the same amount of CO(2) emissions per tonne of production. This is a serious concern and needs to be overcome by identifying alternative materials to have as minimal a carbon footprint as possible. In this context, hemp fiber is by far the best natural fiber when compared to its peers. As per the survey conducted by the Nova institute, hemp has CO(2) emissions of only 360 Kg/tonne, whereas jute has CO(2) emissions of 550 Kg/tonne, kenaf 420 Kg/tonne, and flax 350 Kg/tonne. This paper presents an experimental study of the fracture toughness of hemp-reinforced hybrid composites (HRHC). The effect of the parameters on the fracture toughness behavior of HRHC is studied using the Taguchi technique. It uses different filler combinations with hemp fiber and epoxy. Hemp fiber is used as the reinforcement, epoxy resin is used as a matrix, and banana fiber, coconut shell powder, and sawdust are used as fillers. The experimental plan is prepared using an orthogonal array and analyzed using Minitab software. The obtained results were analyzed using ANOVA and main effects plots. It was observed that the fracture toughness increases with a decrease in thickness. The fracture toughness is affected by the fiber content in the range of 25%–35% and is also affected by the filler materials. |
format | Online Article Text |
id | pubmed-8433991 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-84339912021-09-12 Analysis of the Effect of Parameters on Fracture Toughness of Hemp Fiber Reinforced Hybrid Composites Using the ANOVA Method Madhusudhana, H. K. Kumar, M. Prasanna Patil, Arun Y. Keshavamurthy, R. Khan, T. M. Yunus Badruddin, Irfan Anjum Kamangar, Sarfaraz Polymers (Basel) Article In today’s world, global warming has become a concern. To overcome this, we need to reduce the carbon footprints caused by the production of materials. Much of the time, this is equivalent to the same amount of CO(2) emissions per tonne of production. This is a serious concern and needs to be overcome by identifying alternative materials to have as minimal a carbon footprint as possible. In this context, hemp fiber is by far the best natural fiber when compared to its peers. As per the survey conducted by the Nova institute, hemp has CO(2) emissions of only 360 Kg/tonne, whereas jute has CO(2) emissions of 550 Kg/tonne, kenaf 420 Kg/tonne, and flax 350 Kg/tonne. This paper presents an experimental study of the fracture toughness of hemp-reinforced hybrid composites (HRHC). The effect of the parameters on the fracture toughness behavior of HRHC is studied using the Taguchi technique. It uses different filler combinations with hemp fiber and epoxy. Hemp fiber is used as the reinforcement, epoxy resin is used as a matrix, and banana fiber, coconut shell powder, and sawdust are used as fillers. The experimental plan is prepared using an orthogonal array and analyzed using Minitab software. The obtained results were analyzed using ANOVA and main effects plots. It was observed that the fracture toughness increases with a decrease in thickness. The fracture toughness is affected by the fiber content in the range of 25%–35% and is also affected by the filler materials. MDPI 2021-09-06 /pmc/articles/PMC8433991/ /pubmed/34503052 http://dx.doi.org/10.3390/polym13173013 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 Madhusudhana, H. K. Kumar, M. Prasanna Patil, Arun Y. Keshavamurthy, R. Khan, T. M. Yunus Badruddin, Irfan Anjum Kamangar, Sarfaraz Analysis of the Effect of Parameters on Fracture Toughness of Hemp Fiber Reinforced Hybrid Composites Using the ANOVA Method |
title | Analysis of the Effect of Parameters on Fracture Toughness of Hemp Fiber Reinforced Hybrid Composites Using the ANOVA Method |
title_full | Analysis of the Effect of Parameters on Fracture Toughness of Hemp Fiber Reinforced Hybrid Composites Using the ANOVA Method |
title_fullStr | Analysis of the Effect of Parameters on Fracture Toughness of Hemp Fiber Reinforced Hybrid Composites Using the ANOVA Method |
title_full_unstemmed | Analysis of the Effect of Parameters on Fracture Toughness of Hemp Fiber Reinforced Hybrid Composites Using the ANOVA Method |
title_short | Analysis of the Effect of Parameters on Fracture Toughness of Hemp Fiber Reinforced Hybrid Composites Using the ANOVA Method |
title_sort | analysis of the effect of parameters on fracture toughness of hemp fiber reinforced hybrid composites using the anova method |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8433991/ https://www.ncbi.nlm.nih.gov/pubmed/34503052 http://dx.doi.org/10.3390/polym13173013 |
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