Please choose your delivery country and your customer group
Smart fabrics are a breakthrough in textile development. They are used for advanced garment functions as heating, computing, sensing etc. Their technologies are variable as electronics and chemical finishing. The purpose of this paper is to introduce different embroidered samples by a conductive yarn to heat the garment samples. Experiment consists of woven and knitted samples made from fiber type (natural, synthetic and blends of them). By changing embroidery parameters (as design shape, distance between rows and stitches per cm) and embroidery shape in each sample forms an electrical circuit. Temperature measured in case of charging (buttery on) and discharging (buttery off). Significant tests applied to determine the significance of fiber and embroidery parameters on temperature. In addition, ANN and Multiple regression analysis are used to predict temperature for each sample. Results show that temperature prediction by ANN has less error than it by Regression. Distance between rows, stitches per cm, fiber type and embroidery design have a significant effect on temperature in both cases (on and off) charging.