價格:免費
更新日期:2018-11-19
檔案大小:10M
目前版本:1.0
版本需求:Android 4.0.3 以上版本
官方網站:http://www.softecks.in
Email:contact@softecks.in
聯絡地址:201-B,Nishadham Blgd,1/5, Chipale,Panvel,Navi Mumbai-410206,Maharashtra, India
► This Fabric Engineering app consists various important topics, which is very useful for every Fabric engineers.✦
【Topics Covered Based On Below Concepts】
*Anisotropy in Woven Fabric Stress and Elongation at Break
*Models of woven fabrics rupture properties
*Model for infinite sample length
*Measuring of rupture properties
*Discussion, current trends and future challenges in investigated problems
*Mechanical Properties of Fabrics from Cotton and Biodegradable Yarns Bamboo, SPF, PLA in Weft
*Mechanical properties of woven fabrics
*Tensile properties of fabrics
*Mechanical properties measured with KES evaluation system
*Tensile properties of yarns
*Other mechanical properties measured with KES evaluation system
*Wing Tear: Identification of Stages of Static Process
*Methods used for determination of static tear strength
*Tear force as the criterion of fabric assessment
*Analysis of stages of cotton fabric static tearing process for the wing shape specimen
*Experiment
*Testing materials
*Analysis and modelling the fabric tearing zone geometry
*Effects of Topographic Structure on Wettability of Woven Fabrics
*Yarns texture
*Importance of the Cloth Fell Position and Its Specification Methods
*A review of the cloth fell position and the interaction between weaving factors
*The effect of the cloth fell position on pickspacing
*The effect of warp tension on cloth fell position and pickspacing
*The effect of loom speed on cloth fell position
*Methods of measuring the cloth fell position
*Using the lengths of cloth and warp thread
*The methods of measuring the cloth fell position during loom stoppage
*Using the laser analogue displacement sensor
*Artificial Neural Networks and Their Applications in the Engineering of Fabrics
*ANN applications in the textile engineering field
*Artificial Neural Networks
*Architecture and training algorithms