STOP fibrous microplastic pollution from textiles by elucidating fibre damage and manufacturing novel textiles

Lead Research Organisation: University of Edinburgh
Department Name: Sch of Engineering

Abstract

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Publications

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Jabbar A (2022) Impact of conventional and modified ring-spun yarn structures on the generation and release of fragmented fibers (microfibers) during abrasive wear and laundering in Textile Research Journal

 
Description The outcomes from the image-based modelling and novel textile fibre designs would benefit the textile suppliers for mitigation and/or elimination microplastic pollution generated from textile laundering.
Sector Environment,Manufacturing, including Industrial Biotechology
Impact Types Societal
 
Title Image processing algorithms for XCT scans of textile yarns 
Description A set of algorithms that are written as plug-ins for commercial software AVIZO to improve the accuracy of the fibre tracing for XCT scan images of textile yarns. 
Type Of Material Computer model/algorithm 
Year Produced 2024 
Provided To Others? No  
Impact The algorithms are based on open source AI programmes and are specifically suitable for XCT images with spiral structures of fibres. 
 
Title X-ray microtomography image based finite element model 
Description A finite element model is currently being developed using the high-resolution images from X-ray microtomography scans of textile yarns before and after washing. The model aims to better capture the change of fibre tomography and its effects on the fibre-fibre interaction and fibre fragmentation which is believed to be the sauce of the micro-plastic pollution. 
Type Of Material Computer model/algorithm 
Year Produced 2022 
Provided To Others? No  
Impact The developed image-based finite element model could enable the researchers to better understand the mechanisms of micro-plastic generation and thereby informing the strategy to modify the fibre yarn structure to mitigate/eliminate the micro-plastic pollution.