The ballistic and quasi-static puncture resistance of 3D fabrics impregnated with novel shear thickening fluids and modeling quasi-static behavior using artificial intelligence-Reference-Cited by-同舟云学术

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

Published:2023-06-23 Issue:21 Volume:57 Page:3417-3432
ISSN:0021-9983
Container-title:Journal of Composite Materials
language:en
Short-container-title:Journal of Composite Materials

Author:

Hai Tao¹²³,Alhomayani Fahad Mohammed⁴,Kh Teeba Ismail⁵,Chaturvedi Rishabh⁶,Ali Masood Ashraf⁷

Affiliation:

1. School of Computer and Information, Qiannan Normal University for Nationalities, Duyun, China

2. Key Laboratory of Complex Systems and Intelligent Optimization of Guizhou Province, Duyun, China

3. Institute for Big Data Analytics and Artifcial Intelligence (IBDAAI), Universiti Teknologi MARA, Shah Alam, Malaysia

4. College of Computers and Information Technology, Taif University, Saudi Arabia

5. Department of Computer Engineering, College of Engineering and Computer Science, Lebanese French University, Kurdistan Region, Iraq

6. Institute of Engineering and Technology, GLA University, Mathura, India

7. Department of Industrial Engineering, College of Engineering, Prince Sattam Bin Abdulaziz University, Alkharj, Saudi Arabia

Abstract

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.

Publisher

SAGE Publications

Subject

Materials Chemistry,Mechanical Engineering,Mechanics of Materials,Ceramics and Composites

Link

http://journals.sagepub.com/doi/pdf/10.1177/00219983231184941

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