May 12, 2024
Meysam Moezzi

Meysam Moezzi

Academic rank: Associate professor
Address: university of bonab
Education: Ph.D in Textile engineering- textile technology
Phone: 04137745000-1611
Faculty: Faculty of Engineering
Department: Textile Engineering

Research

Title
Strain Monitoring in Woven Fabrics with Locally Induced Mass Irregularities Using an Image Based Method
Type Article
Keywords
full field strain monitoring, damage prediction, mass irregularities, slub yarn, digital image correlation.
Researchers Saeed Baghernezhad، Mohammad Ghane، Meysam Moezzi

Abstract

The aim of this work was to study the effect of induced mass irregularities of yarn on the strain monitoring of fabric during a tensile test. Slub yarns with different induced mass irregularities were produced and used as weft yarns in plain woven fabric. The Digital Im- age Correlation (DIC) method was used to evaluate the strain distribution map of the fabric during the tensile test. Images of the reference sample as well as of the strained fabric under the sequential strain applied were captured. By applying the DIC method, a strain distribution map of the fabric at a certain value of the strain applied was calculated for all samples. Results of the strain map calculated were then compared with the image of the ac- tual fabric. It was found that there was good agreement between the map of strain distribution calculated by DIC and the local concentration of strain in the fabric. The results also revealed that the variation in strain distribution in the fabric during the tensile test was correlated exponentially to the breaking stress in cN/tex) of yarn as well as the breaking strength in N of the fabric.