Javid, M., Qadir, M.B., Jabbar, A. orcid.org/0000-0002-7751-5489 et al. (1 more author) (2024) Statistical study and investigation of the cut-resistant and thermo-physiological performance of protective gloves: a new prospective. International Journal of Occupational Safety and Ergonomics, 30 (2). pp. 399-411. ISSN 1080-3548
Abstract
Objectives. This research investigated the performance properties of protective gloves alongside improvement in thermo-physiological comfort properties. Methods. Knitted gloves prepared from filament stainless steel, filament Kevlar, staple spun Kevlar and filament glass were used in the core, while 100% viscose rayon and 50/50% polyester/viscose rayon were used in the sheath. Gloves were tested for cut resistance, tear resistance, puncture resistance and abrasion resistance as the prime focus, and thermo-physiological comfort properties were also tested. In this research, a multi-response optimization technique, i.e., principal component analysis, was applied to identify the best yarn combination for gloves based on the aforementioned properties. Thermal images were also taken in constant ambient conditions for temperature distribution maps across the hand's surface. Results. All of the results were evaluated statistically with analysis of variance, and concluded that the effects of the core yarn on thermo-physiological properties were less significant. Conclusion. The results revealed that samples having dual-core yarn exhibited better in terms of overall properties. The sample having dual-core filament Kevlar and staple spun Kevlar ranked the best. In addition, developed samples exhibited better comfort properties than the control sample.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Keywords: | protective gloves; core-spun yarn; principal component analysis; high performance fibers; thermography; thermal insulation |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Arts, Humanities and Cultures (Leeds) > School of Design (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 22 Aug 2024 10:47 |
Last Modified: | 22 Aug 2024 10:47 |
Status: | Published |
Publisher: | Taylor & Francis |
Identification Number: | 10.1080/10803548.2024.2313915 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:216342 |