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- USING THE PRINCIPLES OF AUTOMATED OPTICAL IMAGE RECOGNITION TO ASSESS THE STRUCTURAL STABILITY OF KNITTED FABRICS
- Kopareva E. M., Zimina M. V., Titov S. N., Chagina L. L. Using the principles of automated optical image recognition to assess the structural stability of knitted fabrics // Tekhnologii i kachestvo = Technologies & Quality. 2021;1(51): 4–8. (In Russ.) https://doi.org/10.34216/2587-6147-2021-1-51-4-8.
- DOI: https://doi.org/10.34216/2587-6147-2021-1-51-4-8
- УДК: 677.025
- Publish date: 2021-03-11
- Annotation: The article shows the possibility of determining the characteristics of stretch deformation of knitted fabrics by optoelectronic processing of digital images using the developed software. The technique is applicable for knitted fabrics of sparse structures of any fibrous composition. The tests are carried out on a developed device that implements the possibility of spatial deformation of the samples. As a quantitative indicator of the change in the structure of the knitted fabric under tension, a coefficient, that characterises the change in the structure by increasing the through porosity of the fabric, is used. The stability of the structure of the knitted fabric is evaluated by an indicator that determines the recoverability of the loop structure after rest. The method was tested on linen knitted fabrics. The results of experimental studies should be used at the design stage of products to create knitted fabrics resistant to the action of operational loads.
- Keywords: knitted webs and articles, tension strain, technique, automated evaluation, digital image histogram, software.
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