EXPERIMENTAL STUDY OF TEXTILE DEFORMATION USING 3D DIGITAL IMAGE CORRELATION METHOD
Апстракт
Textiles are unique due to their structure and formability properties. In order to predict the behaviour and properties of textile materials, standard investigation methods are not always sufficient. In this paper, a more detailed study is performed and additional results were obtained when the 3D Digital Image Correlation (DIC) method was adjusted to the standard test method. The digital image analysis method is one of the newly proposed methods used to determine textile deformation behaviour. It is possible to capture the formation of localized deformation zone, besides capturing the deformation of the woven fabric. The procedure of digital video camera recording is simple, but preparation and processing on a computer are relatively demanding concerning processing time and data preparation for analysis. The processing time for displacement calculation depends on the image resolution, number of images, chosen area sizes on images for analysis, number of facet centers and characteristi...cs of the computer used for results processing. Obtained results are adequate and satisfy the requirements of accuracy applied to material science. Therefore, the application of the image analysis method for the investigation of deformed textile materials is possible.
Кључне речи:
Textile / deformation / 3D Digital Image Correlation MethodИзвор:
International Conference of Experimental and Numerical Investigations and New Technologies CNN TECH 2018, 2018, 18-Издавач:
- Innovation Center of Faculty of Mechanical Engineering
Колекције
Институција/група
Mašinski fakultetTY - CONF AU - Mitrović, Aleksandra AU - Mitrović, Nenad AU - Popović, Dejana AU - Milošević, Miloš AU - Miljković, Vladimir PY - 2018 UR - https://machinery.mas.bg.ac.rs/handle/123456789/7688 AB - Textiles are unique due to their structure and formability properties. In order to predict the behaviour and properties of textile materials, standard investigation methods are not always sufficient. In this paper, a more detailed study is performed and additional results were obtained when the 3D Digital Image Correlation (DIC) method was adjusted to the standard test method. The digital image analysis method is one of the newly proposed methods used to determine textile deformation behaviour. It is possible to capture the formation of localized deformation zone, besides capturing the deformation of the woven fabric. The procedure of digital video camera recording is simple, but preparation and processing on a computer are relatively demanding concerning processing time and data preparation for analysis. The processing time for displacement calculation depends on the image resolution, number of images, chosen area sizes on images for analysis, number of facet centers and characteristics of the computer used for results processing. Obtained results are adequate and satisfy the requirements of accuracy applied to material science. Therefore, the application of the image analysis method for the investigation of deformed textile materials is possible. PB - Innovation Center of Faculty of Mechanical Engineering C3 - International Conference of Experimental and Numerical Investigations and New Technologies CNN TECH 2018 T1 - EXPERIMENTAL STUDY OF TEXTILE DEFORMATION USING 3D DIGITAL IMAGE CORRELATION METHOD SP - 18 UR - https://hdl.handle.net/21.15107/rcub_machinery_7688 ER -
@conference{ author = "Mitrović, Aleksandra and Mitrović, Nenad and Popović, Dejana and Milošević, Miloš and Miljković, Vladimir", year = "2018", abstract = "Textiles are unique due to their structure and formability properties. In order to predict the behaviour and properties of textile materials, standard investigation methods are not always sufficient. In this paper, a more detailed study is performed and additional results were obtained when the 3D Digital Image Correlation (DIC) method was adjusted to the standard test method. The digital image analysis method is one of the newly proposed methods used to determine textile deformation behaviour. It is possible to capture the formation of localized deformation zone, besides capturing the deformation of the woven fabric. The procedure of digital video camera recording is simple, but preparation and processing on a computer are relatively demanding concerning processing time and data preparation for analysis. The processing time for displacement calculation depends on the image resolution, number of images, chosen area sizes on images for analysis, number of facet centers and characteristics of the computer used for results processing. Obtained results are adequate and satisfy the requirements of accuracy applied to material science. Therefore, the application of the image analysis method for the investigation of deformed textile materials is possible.", publisher = "Innovation Center of Faculty of Mechanical Engineering", journal = "International Conference of Experimental and Numerical Investigations and New Technologies CNN TECH 2018", title = "EXPERIMENTAL STUDY OF TEXTILE DEFORMATION USING 3D DIGITAL IMAGE CORRELATION METHOD", pages = "18", url = "https://hdl.handle.net/21.15107/rcub_machinery_7688" }
Mitrović, A., Mitrović, N., Popović, D., Milošević, M.,& Miljković, V.. (2018). EXPERIMENTAL STUDY OF TEXTILE DEFORMATION USING 3D DIGITAL IMAGE CORRELATION METHOD. in International Conference of Experimental and Numerical Investigations and New Technologies CNN TECH 2018 Innovation Center of Faculty of Mechanical Engineering., 18. https://hdl.handle.net/21.15107/rcub_machinery_7688
Mitrović A, Mitrović N, Popović D, Milošević M, Miljković V. EXPERIMENTAL STUDY OF TEXTILE DEFORMATION USING 3D DIGITAL IMAGE CORRELATION METHOD. in International Conference of Experimental and Numerical Investigations and New Technologies CNN TECH 2018. 2018;:18. https://hdl.handle.net/21.15107/rcub_machinery_7688 .
Mitrović, Aleksandra, Mitrović, Nenad, Popović, Dejana, Milošević, Miloš, Miljković, Vladimir, "EXPERIMENTAL STUDY OF TEXTILE DEFORMATION USING 3D DIGITAL IMAGE CORRELATION METHOD" in International Conference of Experimental and Numerical Investigations and New Technologies CNN TECH 2018 (2018):18, https://hdl.handle.net/21.15107/rcub_machinery_7688 .