In this research, the thermal comfort properties of a newly known fiber called Estabragh (Milkweed) have been investigated. Estabragh is a natural hollow fiber which is expected to provide excellent insulation properties due to their individual characteristics.
This study aims to predict the hairiness (Number of hairs = 3mm) and coefficient of variation (%CVm) of elastic core-spun yarns produced on Sirofil spinning system using artificial neural network method.
Present work was undertaken to study the effects of yarn, fabric, and machine parameters on crease recovery and pilling performance of woven fabrics containing the elastane yarn.
Sound pollution has become an important issue that has been addressed by scientists of various disciplines. Control of sound in areas of transport and building industries is of paramount importance. Textiles are widely used as sound insulators.
Reduction in noise pollution in general and particularly in automotive industry has become an important
This work aims to predict the noise reduction coefficient (NRC) of nonwoven layers produced from Estabragh/polypropylene blends of fibers. Estabragh is a natural hollow fiber which can be expected to have excellent sound insulation properties.
The most performance quality of cut-pile carpets is related to mechanical behavior of surface piles under compression loading in use.
In this paper, the loop structure of plain knitted fabric, constructed from multifilament yarns is geom
In this study, the main purpose is to predict the performance properties of woolen hand-knotted carpets
Associate Professor of the Textile Engineering Faculty Isfahan University of Technology