Machione learning triboelectric PLA

This project explored the possibility of harvesting static
electricity from a textile surface to use it as an alternative energy
source. The friction that occurs when two surfaces are rubbed
against each other creates static electricity, also called the
triboelectric effect. The cross disciplinary research team used
machine learning to create a method that can predict the optimal
knitted surface when it comes to the tribo effect. The overall
aim was to understand the triboelectric effect on different types
of surface structures and to exploit machine learning methods
to determine the optimal combination of the initial parameters
of the fabric to maximize the charge harvested.
This was done by touching/rubbing together two surfaces
that are connected in a circuit, using copper tape/wires and
measuring the different charges harvested. The textile surface is
knitted and represents a surface typically used in the commercial
market.