Removal of Particulates on the Fabric Surface and Evaluation by Image Processing 


Vol. 24,  No. 5, pp. 1859-1872, May  2023
10.1007/s12221-023-00167-y


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  Abstract

Three noncontact methods of evaluating the particle removal rate from fabrics were developed using image processing, and the dust particle removal rate by a clothing care machine was evaluated for the six fabric samples with different moisture characteristics and geometric structures. The removal rates calculated for the six samples showed a constant tendency, thereby confirming that the dust removal evaluation methods developed in this study have proved a reliability. It was also found that dust adhesion on the fabrics was affected by the surface structure rather than the moisture characteristics of the fibers, where more dust adhered to knitted fabrics than to woven fabrics. By contrast, the dust removal rate was higher for woven fabrics than for knitted fabrics, and the removal rate for woven polyester fabric, which had low hydrophilicity, was higher than those for woven cotton and wool fabrics. Furthermore, the removal rate tended to be high for samples with a low coefficient of friction. When particle removal during each step of the four-step dust removal course of the machine was evaluated, polyester fabrics had the highest removal rate in the step with high-humidity condition. However, the removal rate for cotton fabrics was the highest when they were treated under relatively low humidity with strong air flow.

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  Cite this article

[IEEE Style]

S. Y. Yoon, K. Baik, S. Lee, C. H. Park, "Removal of Particulates on the Fabric Surface and Evaluation by Image Processing," Fibers and Polymers, vol. 24, no. 5, pp. 1859-1872, 2023. DOI: 10.1007/s12221-023-00167-y.

[ACM Style]

Se Young Yoon, Kyungha Baik, Suhyun Lee, and Chung Hee Park. 2023. Removal of Particulates on the Fabric Surface and Evaluation by Image Processing. Fibers and Polymers, 24, 5, (2023), 1859-1872. DOI: 10.1007/s12221-023-00167-y.

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