Articles

type: Journal
Title DOI Date
Predicting the Hairiness and Coefficient of Variation of Elastic Core-spun Yarns Produced on Sirofil-Spinning System using Artificial Neural Network #
Investigation into Energy Absorption Capacity of Composites Reinforced by three-dimensional-Weft knitted Fabrics #
Optimization and prediction of the pilling performance of weft knitted fabrics produced from wool/acrylic blended yarns #
Analysis and Prediction of the Noise Reduction Coefficient of Lightlyneedled Estabragh/polypropylene Nonwovens Using Simplex Lattice Design #
Evaluating the Acoustic Properties of Estabragh (Milkweed)/Hollow-Polyester Nonwovens vfor Automotive Applications #
Modeling of Heat Transfer for Interlock Knitted fabric Using Finite Element Method #
بررسي اثر ساختار پارچه و جهت تاب بر لول خوردگي پارچه هاي حلقوي يكروسيلندر #
Analysis of the Thermal Comfort and Impact Properties of the Neoprene-Spacer Fabric Structure for Preventing the Joint Damages #
Investigation into the curling behavior of single jersey weft knitted fabrics and its prediction using neural network model #
Comparison of softened polylactic acid and polyethylene terephthalate fabrics using KES-FB #
Measuring the roughness of knitted fabrics by analysis of the surface signals obtained from image processing #
An Investigation into Fatigue Behavior of Core-spun Yarns under Cyclic Tensile Loading #
Bagging behavior of different fabric structures knitted from blended yarns using image processing #
Regression Model for the Bagging Fatigue of Knitted Fabrics Produced from Viscose/Polyester Blended Rotor Yarns #
Grey Relational Analysis to Determine the Optimum process parameters for Open-end Spinning Yarns #
type: Conference
Title Date
بررسي جذب امواج رادار در منسوجات پوشش داده شده با مواد حاوي نانو لوله كربن
Effect of Nano-Silica Particles on the Mechanical Properties of PP/GF Knitted Composites
بررسي اثر پارامترهاي نخ و پارچه بر لول شدن بافت هاي يكروسيلندر حلقوي پودي
الگوي استاندارد در ارزيابي خواص عملكردي موثر در تعيين طول عمر فرشها
بهبود كيفيت محصولات توليدي از پارچه هاي اسپيسر با استفاده از پيش بيني خواص راحتي و ضربه پذيري توسط تكنيك شبكه عصبي