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متن کامل مقالات فارسی (چاپ شده در مجلات داخلی)

Surface Roughness of Weft Knitted Fabric Using Image Processing

The Optimization of the Physical and Mechanical Properties of Core-Spun Yarns Produced by Siro Spinning System by Using Neural Network

Measuring the Roughness of Knitted Fabrics by Analysis of the Surface Signals Obtained from Image Processing

Modeling of Heat Transfer for Interlock Knitted Fabric Using Finite Element Method

Comparison of of Softened Polylactic Acid and Polyethylene Terephthalate Fabrics Using KES-FB

Analysis the Effect of Fiber, Yarn and Fabric Variables on Bagging Behavior of Single Jersey Weft Knitted Fabrics

Investigation into Energy Absorption Capacity of Composites Reinforced by Three-Dimensional-Weft knitted Fabrics

Grey Relational Analysis to Determine the Optimum process parameters for Open-end Spinning Yarns

Investigation into the Curling Behavior of Single Jersey Weft Knitted Fabrics and its Prediction using Neural Network Model

Regression Model for the Bagging Fatigue of Knitted Fabrics Produced from Viscose/Polyester Blended Rotor Yarns

Analyzing the Effect of Yarn and Fabrics parameters on Electromagnetic Shielding of Metalized Fabrics Coated with Polyaniline

Bagging Behavior of Different fabrics Structures knitted from blended yarns using image processing

Analysis and Prediction of the Noise Reduction Coefficient of Lightly needled Estabragh/polypropylene Nonwovens Using Simplex Lattice Design

An Investigation into the Fatigue Behavior of Core-spun Yarns under Tensile Cyclic Loading

Analysis of the Thermal Comfort and Impact Properties of the Neoprene-Spacer Fabric Structure for Preventing the Joint Damages

Determination of Handle of Knitted Fabric using an Objective Measuring Technique

A Mathematical Model to Compare the Handle of PLA and PET Knitted Fabrics After Different Finishing Stages

Analysis of the Physical Fundamentals of an Objective Integral Measuring System for the Determination of the Handle of Knitted Fabrics

Modelling and Predicting the Breaking Strength and Mass Irregularity of Cotton Rotor Spun Yarns Containing Cotton Fiber Recovered from Ginning Process by Using Artificial Neural Network Algorithm