Predictive analysis of electroconductive material parameters for system optimisation
Year: 2024
Type: article
Abstract: 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.
Source: Industria Textila
Authors: RALUCA MARIA AILENI, CRISTINA STROE
Language: English
Subfield: Polymers and Plastics
Field: Materials Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4403785285