Signal transfer via smart conductive networks for high temperature performing wearable electronics

Autor: Senem Kursun Bahadir, Ercan Karabulut
Rok vydání: 2020
Předmět:
Zdroj: Journal of Materials Science: Materials in Electronics. 31:15996-16007
ISSN: 1573-482X
0957-4522
DOI: 10.1007/s10854-020-04161-5
Popis: High temperature performing textile conductive networks for wearable electronic applications are demonstrated. Different types of conductive yarns, namely steel, copper, and silver-coated were used as signal transmission tracks in order to configure the smart conductive network architecture. Conductive networks were formed between the layers of high temperature-resistant fabric substrates which of the following substrates most likely consist of reactively sputtered aluminum particles, polybenzimidazoles (PBI), aramid, and glass fibers. The specimens were constructed using welding and conventional sewing techniques and their operating characteristics in terms of high temperature resistance (limited flame spread, convective heat transfer, radiant heat) and electrical properties (conductivity and signal quality in data transfer) were determined. As a result of thermal tests, the excellent performances among conductive networks are attributed to steel and copper threads used as signal transmission line hidden in the interface among aluminum, 100 % aramid (nonwoven), and epoxy layer used as a substrate. The efficient exploitation of smart conductive networks will boost the viability of data transfer quality among wearable electronic components performing at high temperatures.
Databáze: OpenAIRE