Predictive analysis of electroconductive material parametersfor system optimisation

This paper presents mathematical modelling based on predictive and correlation analysis of independent and dependent variables of conductive materials to develop sensors or actuators. The resulting analysis and optimisation develop improved systems based on sensors or actuators, including selecting the appropriate conductive materials for development. Toward this purpose, 46 materials with electroconductive properties were selected and analysed. The independent variables considered were mass, air permeability and thickness, and the dependent variable was defined as the electrical surface resistance of the conductive fabric used.