READ ME File For 'Mechanical Cyclic Bending Test on Capacitive Touch and Proximity Sensing E-Textile Yarns'

Dataset DOI: 10.5258/SOTON/D0867

ReadMe Author: Olivia Olamide Ojuroye, University of Southampton

This dataset supports the thesis entitled 'Tailored Polydimethylsiloxane Circuit Encapsulation for Washable and Mechanically-Deformable Proximity and Touch Sensing Electronic Textiles for Wearables and Beyond'
AWARDED BY: Faculty of Engineering and Physical Sciences
DATE OF AWARD: 23/07/2019

DESCRIPTION OF THE DATA
This data for is one of two mechanical experiments completed in this PhD research to investigate the causation of failure due to washing PCF8883US capacitive touch and proximity sensing e-textile circuits. It uses a bending rig developed as part of the FETT project, and used on other circuits made by other researchers in the research project. The PDMS-encapsulated copper-polyimide PCF8883US bare die circuit was embedded into the core of a yarn for this experiment - making an electronic yarn (e-yarn). Each e-yarn had a 14g counter-weight attached to one end to keep the e-yarn straight and taut during each bend, and the e-yarn was bent on a 10mm bending radii at 90 degrees in an automated cyclic motion at 3 minute intervals (equivaqlent to 10 bending cycles).The e-yarn was powered with 4.5 V, 0.003 A, and was checked for functionality using the DSO3062A digital storage oscilloscope at a sampling rate of the oscilloscope, 20 seconds per division and 5 sample readings per second. To verify the e-yarn could still sense after each 3 min interval, proximity and touch sensing using done with  a human hand that resulted with the LED to illuminate to denote successful sensing.

The data in this set were collected at the  University of Southampton, Test Lab, Zepler Building, Level 4. The data can be viewed using Microsoft Excel.

This dataset contains:
Experimental data that was published in chapter 6 of the thesis 'Tailored Polydimethylsiloxane Circuit Encapsulation for Washable and Mechanically-Deformable Proximity and Touch Sensing Electronic Textiles for Wearables and Beyond'


Date of data collection: 25/04/2018

Information about geographic location of data collection: University of Southampton, U.K.

Licence: Attribution-ShareAlike 4.0 International

Related projects/Funders:
This research was funded in the UK by the Engineering and Physical Sciences Research Council (EPSRC) via the project: Novel manufacturing methods for Functional Electronic TexTiles (FETT). Grant number: EP/M015149/1. 


Date that the file was created: April, 2019