The ballistic and quasi-static puncture resistance of 3D fabrics impregnated with novel shear thickening fluids and modeling quasi-static behavior using artificial intelligence

The present study deals with the chemical modification of polyethylene glycol (PEG) based on shear thickening fluids (STFs) and their application to improve the ballistic impact and quasi-static resistance performance of 3D E-glass fabrics. The carrier fluid (PEG 200) was modified with two different...

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Published in:Journal of Composite Materials
Main Author: Hai T.; Alhomayani F.M.; Kh T.I.; Chaturvedi R.; Ali M.A.
Format: Article
Language:English
Published: SAGE Publications Ltd 2023
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163039890&doi=10.1177%2f00219983231184941&partnerID=40&md5=6c39ad678fe7f37538db0146ffabf653
id 2-s2.0-85163039890
spelling 2-s2.0-85163039890
Hai T.; Alhomayani F.M.; Kh T.I.; Chaturvedi R.; Ali M.A.
The ballistic and quasi-static puncture resistance of 3D fabrics impregnated with novel shear thickening fluids and modeling quasi-static behavior using artificial intelligence
2023
Journal of Composite Materials
57
21
10.1177/00219983231184941
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163039890&doi=10.1177%2f00219983231184941&partnerID=40&md5=6c39ad678fe7f37538db0146ffabf653
The present study deals with the chemical modification of polyethylene glycol (PEG) based on shear thickening fluids (STFs) and their application to improve the ballistic impact and quasi-static resistance performance of 3D E-glass fabrics. The carrier fluid (PEG 200) was modified with two different agents, oxalic acid and glutaric acid. The modified PEGs were then characterized by FTIR analysis. The rheological analysis of modified STF using glutaric (G/STF) and oxalic acid (O/STF) showed an improvement in peak viscosity by 10.33 and 3.28 times compared to pure STF (P/STF), respectively. Moreover, PEG modification resulted in higher chain length and a higher number of hydrophilic functional groups, representing superior media-particle interaction through abundant H-bonding. As a result of improved viscosity, the ballistic resistance and quasi-static performance of modified STF-treated fabrics were enhanced compared to that of P/STF-treated fabrics. A two-step artificial intelligence regression analysis was performed to predict quasi-static puncture resistance at different puncture speeds. The results showed a strong correlation between the load-deformation behavior and the loading speed. © The Author(s) 2023.
SAGE Publications Ltd
219983
English
Article

author Hai T.; Alhomayani F.M.; Kh T.I.; Chaturvedi R.; Ali M.A.
spellingShingle Hai T.; Alhomayani F.M.; Kh T.I.; Chaturvedi R.; Ali M.A.
The ballistic and quasi-static puncture resistance of 3D fabrics impregnated with novel shear thickening fluids and modeling quasi-static behavior using artificial intelligence
author_facet Hai T.; Alhomayani F.M.; Kh T.I.; Chaturvedi R.; Ali M.A.
author_sort Hai T.; Alhomayani F.M.; Kh T.I.; Chaturvedi R.; Ali M.A.
title The ballistic and quasi-static puncture resistance of 3D fabrics impregnated with novel shear thickening fluids and modeling quasi-static behavior using artificial intelligence
title_short The ballistic and quasi-static puncture resistance of 3D fabrics impregnated with novel shear thickening fluids and modeling quasi-static behavior using artificial intelligence
title_full The ballistic and quasi-static puncture resistance of 3D fabrics impregnated with novel shear thickening fluids and modeling quasi-static behavior using artificial intelligence
title_fullStr The ballistic and quasi-static puncture resistance of 3D fabrics impregnated with novel shear thickening fluids and modeling quasi-static behavior using artificial intelligence
title_full_unstemmed The ballistic and quasi-static puncture resistance of 3D fabrics impregnated with novel shear thickening fluids and modeling quasi-static behavior using artificial intelligence
title_sort The ballistic and quasi-static puncture resistance of 3D fabrics impregnated with novel shear thickening fluids and modeling quasi-static behavior using artificial intelligence
publishDate 2023
container_title Journal of Composite Materials
container_volume 57
container_issue 21
doi_str_mv 10.1177/00219983231184941
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163039890&doi=10.1177%2f00219983231184941&partnerID=40&md5=6c39ad678fe7f37538db0146ffabf653
description The present study deals with the chemical modification of polyethylene glycol (PEG) based on shear thickening fluids (STFs) and their application to improve the ballistic impact and quasi-static resistance performance of 3D E-glass fabrics. The carrier fluid (PEG 200) was modified with two different agents, oxalic acid and glutaric acid. The modified PEGs were then characterized by FTIR analysis. The rheological analysis of modified STF using glutaric (G/STF) and oxalic acid (O/STF) showed an improvement in peak viscosity by 10.33 and 3.28 times compared to pure STF (P/STF), respectively. Moreover, PEG modification resulted in higher chain length and a higher number of hydrophilic functional groups, representing superior media-particle interaction through abundant H-bonding. As a result of improved viscosity, the ballistic resistance and quasi-static performance of modified STF-treated fabrics were enhanced compared to that of P/STF-treated fabrics. A two-step artificial intelligence regression analysis was performed to predict quasi-static puncture resistance at different puncture speeds. The results showed a strong correlation between the load-deformation behavior and the loading speed. © The Author(s) 2023.
publisher SAGE Publications Ltd
issn 219983
language English
format Article
accesstype
record_format scopus
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