Strain measurement of medical textile using 2d digital image correlation method
Апстракт
Medical textile plays an important role in the technical textiles sector as one of the most rapidly growing sectors in the technical textile market. The textile materials should have some adequate mechanical properties to be useful as medical textile. Tensile strength presents one of the basic mechanical properties used to describe textile specimens. Standardized tensile testing procedures on textile specimens were commonly used in the past. The aim of this paper was to measure in-plane strain field on the tensile medical textile specimen using 2D Digital Image Correlation method (2D-DIC). 2D-DIC is a non-contact optical method for accurate displacement and strain full-field measurement. In this study, two medical cotton textiles, with density 120 and 130 g/m2, were used to create three specimens for each material. Each specimen was placed in the tensile testing machine and measured until the break. During the tensile testing, camera was automatically recording full-field displacement ...in X and Y directions. Textile 1 and Textile 2 showed significant differences in point distance values, despite the small deviation in densities (less than 10%). Mean value of the elongation for Textile 1 is more than a double than the elongation for Textile 2, although the difference for mean value of Maximum force if negligible. Also, it has been showed that 2D-DIC can play significant role for measurement in textile mechanical properties measurement.
Кључне речи:
Tensile testing / Medical textile / Deformations / 2D Digital Image Correlation methodИзвор:
Lecture Notes in Networks and Systems, 2021, 153, 447-464Издавач:
- Springer
Финансирање / пројекти:
- Развој и примена метода и лабораторијске опреме за оцењивање усаглашености техничких производа (RS-MESTD-Technological Development (TD or TR)-35031)
Колекције
Институција/група
Mašinski fakultetTY - CHAP AU - Mitrović, Nenad AU - Mitrović, A. AU - Reljić, M. PY - 2021 UR - https://machinery.mas.bg.ac.rs/handle/123456789/3676 AB - Medical textile plays an important role in the technical textiles sector as one of the most rapidly growing sectors in the technical textile market. The textile materials should have some adequate mechanical properties to be useful as medical textile. Tensile strength presents one of the basic mechanical properties used to describe textile specimens. Standardized tensile testing procedures on textile specimens were commonly used in the past. The aim of this paper was to measure in-plane strain field on the tensile medical textile specimen using 2D Digital Image Correlation method (2D-DIC). 2D-DIC is a non-contact optical method for accurate displacement and strain full-field measurement. In this study, two medical cotton textiles, with density 120 and 130 g/m2, were used to create three specimens for each material. Each specimen was placed in the tensile testing machine and measured until the break. During the tensile testing, camera was automatically recording full-field displacement in X and Y directions. Textile 1 and Textile 2 showed significant differences in point distance values, despite the small deviation in densities (less than 10%). Mean value of the elongation for Textile 1 is more than a double than the elongation for Textile 2, although the difference for mean value of Maximum force if negligible. Also, it has been showed that 2D-DIC can play significant role for measurement in textile mechanical properties measurement. PB - Springer T2 - Lecture Notes in Networks and Systems T1 - Strain measurement of medical textile using 2d digital image correlation method EP - 464 SP - 447 VL - 153 DO - 10.1007/978-3-030-58362-0_26 ER -
@inbook{ author = "Mitrović, Nenad and Mitrović, A. and Reljić, M.", year = "2021", abstract = "Medical textile plays an important role in the technical textiles sector as one of the most rapidly growing sectors in the technical textile market. The textile materials should have some adequate mechanical properties to be useful as medical textile. Tensile strength presents one of the basic mechanical properties used to describe textile specimens. Standardized tensile testing procedures on textile specimens were commonly used in the past. The aim of this paper was to measure in-plane strain field on the tensile medical textile specimen using 2D Digital Image Correlation method (2D-DIC). 2D-DIC is a non-contact optical method for accurate displacement and strain full-field measurement. In this study, two medical cotton textiles, with density 120 and 130 g/m2, were used to create three specimens for each material. Each specimen was placed in the tensile testing machine and measured until the break. During the tensile testing, camera was automatically recording full-field displacement in X and Y directions. Textile 1 and Textile 2 showed significant differences in point distance values, despite the small deviation in densities (less than 10%). Mean value of the elongation for Textile 1 is more than a double than the elongation for Textile 2, although the difference for mean value of Maximum force if negligible. Also, it has been showed that 2D-DIC can play significant role for measurement in textile mechanical properties measurement.", publisher = "Springer", journal = "Lecture Notes in Networks and Systems", booktitle = "Strain measurement of medical textile using 2d digital image correlation method", pages = "464-447", volume = "153", doi = "10.1007/978-3-030-58362-0_26" }
Mitrović, N., Mitrović, A.,& Reljić, M.. (2021). Strain measurement of medical textile using 2d digital image correlation method. in Lecture Notes in Networks and Systems Springer., 153, 447-464. https://doi.org/10.1007/978-3-030-58362-0_26
Mitrović N, Mitrović A, Reljić M. Strain measurement of medical textile using 2d digital image correlation method. in Lecture Notes in Networks and Systems. 2021;153:447-464. doi:10.1007/978-3-030-58362-0_26 .
Mitrović, Nenad, Mitrović, A., Reljić, M., "Strain measurement of medical textile using 2d digital image correlation method" in Lecture Notes in Networks and Systems, 153 (2021):447-464, https://doi.org/10.1007/978-3-030-58362-0_26 . .