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The purpose of this paper is to analyse dynamic drape behaviour of eight different types of woollen fabrics each treated by three different finishing processes.

A new apparatus was used to evaluate the dynamic drape formation process of woollen fabrics during the rotation of the samples at different speed grades of 0 (static drape), 30, 60, 90, 120, 150 and 180 rev/min for each sample. The computerised image analysis method was used to measure the drape coefficients (DCs).

As a result of experiments, it was found that shearing, calendaring, pressing processes affected the drapability and drape behaviour negatively, but belt pressing treatment and decatising process improved the drapability and the drape behaviour for all fabrics. Furthermore, there is a reverse relationship between fabric weight and drape behaviour. As the fabric weight increases, DC value increases due to the increase of fabric tightness.

To date, although many researchers have studied the static draping behaviour, the studies regarding the dynamic drape behaviour of the fabrics are quite limited to an extent. Besides, none of these studies regarding the drape behaviour have investigated the effects of different finishing processes on the drape behaviour of wool fabrics.

During the past decades, several researchers have introduced devices that use sonar systems to detect and/or to determine the object location or to measure the distance to an object using reflected sound waves. The purpose of this paper is to use sonar sensor with textile structure and to test it for detection of objects.

In this study, a sonar system based on intelligent textiles approach for detection of objects has been developed. In order to do this, ultrasonic sensor has been integrated to textile structures by using conductive yarns. Furthermore, an electronic circuit has been designed; PIC 16F877 microcontroller unit has been used to convert the measured signal to meaningful data and to assess the data. The algorithm enabling the objects detection has also been developed. Finally, smart textile structure integrated with ultrasonic sensor has been tested for detection of objects.

Beam shape is presented related to identified object and compared with the actual one given in sensor's datasheet in order to test the efficiency of the proposed method of detection. The achieved results showed that the determined beam pattern matches with the actual one given in its datasheet. Therefore, it can be concluded that the integration of sensor was successful.

This is the first time in the literature that a sonar sensor was integrated into textile structure and tested for detection of objects.