Experimental investigation of self-cleaning behaviour of 3D-printed textile fabrics with various printing parameters

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dc.contributor.authorChan, Ka Po
dc.contributor.authorHe, Feiyang
dc.contributor.authorAtwah, Ayat Adnan
dc.contributor.authorKhan, Muhammad
dc.date.accessioned2023-02-08T09:53:07Z
dc.date.available2023-02-08T09:53:07Z
dc.date.issued2023-01-31
dc.description.abstractSelf-cleaning of textile fabrics is defined as the ability that the pollutants particles can be removed from the fabric surface without any external source. The application of the technology is beneficial to the environment since it conserves water, energy and laundry costs. In the past, it is typically obtained by chemical coatings, which develop low surface energy and high roughness on the fabric surface, allowing the pollutant particles or droplets to float over the surface rather than adhesion. These chemical coating methods are effective for fabrics manufactured by traditional woven-based textile technology. However, the recent advancements in 3D printing technology have evolved the manufacturing of textile fabrics but with equal challenges in self-cleaning as previous chemical coating-based methods are not useful for printed fabrics. A recent study has successfully established a linear regression model to demonstrate the relationship between secondary 3D printing parameters and the self-cleaning properties of different polymeric fabrics. This paper is intended to analyse the impact of the primary printing parameters on the self-cleaning attributes, including infill rate (IR), flow rate (FR), printing temperature (PT), printing speed (PS), and printing acceleration (PA). The experimental results were used to construct a regression polynomial to quantify the self-cleaning behaviour of the selected thermoplastic polyurethane (TPU) fabric. The models were validated experimentally to highlight the critical values of considered primary parameters for optimal self-cleaning behaviour. The obtained results indicated that FR was the most significant parameter, and all parameters affected the fabric's wettability almost equally.en_UK
dc.identifier.citationChan KP, He F, Atwah AA, Khan M. (2023) Experimental investigation of self-cleaning behaviour of 3D-printed textile fabrics with various printing parameters, Polymer Testing, Volume 119, February 2023, Article number 107941en_UK
dc.identifier.issn0142-9418
dc.identifier.urihttps://doi.org/10.1016/j.polymertesting.2023.107941
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/19144
dc.language.isoenen_UK
dc.publisherElsevieren_UK
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectWettabilityen_UK
dc.subjectSurface roughnessen_UK
dc.subjectPorosityen_UK
dc.subject3D printingen_UK
dc.titleExperimental investigation of self-cleaning behaviour of 3D-printed textile fabrics with various printing parametersen_UK
dc.typeArticleen_UK

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