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Novel Method to Evaluate Low-stress Shearing Behavior of Knitted Fabrics
Optimizing Spinning Variables to Reduce the Hairiness of Rotor Yarns Produced from Waste Fibers Collected from the Ginning Process
Determining the Optimum Spinning Conditions to Produce the Rotor Yarns from Cotton Wastes
A Mathematical Model to Compare the Handle of PLA and PET Knitted Fabrics After Different Finishing Stages
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
Optimizing of Processing Variables to Produced the Elastic Core-spun Yarn by Siro Spinning System Using SOM Neural Network
Grey Relational Analysis to Determine the Optimum process parameters for Open-end Spinning Yarns
Comparison of of Softened Polylactic Acid and Polyethylene Terephthalate Fabrics Using KES-FB
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
The Optimization of the Physical and Mechanical Properties of Core-Spun Yarns Produced by Siro Spinning System by Using Neural Network
Applying the Gray Relativity Analysis for Optimizing the Open-End Spun Yarns Production Process from the Cotton/Waste Blended Fibers
Our Research Projects
Research in Industries
Preparation of New DNA Biosensor for Selective Analysis of Important Pharmaceutical Preparation, Riboflavine