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Development of fabric surface with sensor properties for smart textile applications

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2022
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Abstract (EN)

Textile products meet the most basic needs of people, such as dressing, covering, protection, as well as nutritional and sheltering needs. In today's conditions, thanks to the interdisciplinary studies carried out with the development of technology, the increase in research and the acceleration of industrial applications, these basic structures have developed, and value-added and innovative products have been revealed by evolving into the production of smart textiles that can take the information from the textile surface and use it according to the desired purpose, and respond to the needs in various fields. Thanks to these products, textile products have a much wider area of use, and they have entered many different fields of application by working with common disciplines. In this study, it is aimed to use the fabric made to obtain an electrotextile surface, to use the placed conductors as probes, and to measure the capacitive change that occurs when the fabric surface is touched with human hands. Within the scope of the study, 0.30 micron copper wire was added to the yarn by applying the folding process and turned into conductive yarn. With the produced conductive yarn, nine different woven fabrics were systematically produced in three different weaving types and three different density levels. In a circuit designed circuit, the output of the resonator part is connected to the probes on the textile surface with a multiplexer (MUX). Output selection process is done with the help of microcontroller (ATMega328). As a result, when a human touches the fabric surface, the data collected is statistically significant and the results are interpreted with the comfort tests in order to obtain a greater capacitive interaction. The developed fabric surface is suitable for use in many areas and has been produced to contribute to the literature.

Author

Dilara Egeli

How to Cite

Dilara Egeli (Master Thesis). Development of fabric surface with sensor properties for smart textile applications, 2022, Uşak University.

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