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.

RALUCA MARIA AILENI

CRISTINA STROE

Industria Textila

INDUSTRIA TEXTILA 期刊面向大学和研究专家、活跃于纺织和服装行业的公司以及具有技术目的的纺织产品相关行业用户。

The journal "Industria Textila" is aimed at university and research experts, companies active in the textile and apparel industry, and users in the textile product-related industries with technical purposes.

《Industria Textila》期刊主要面向大学和研究专家、活跃于纺织和服装行业的公司，以及与技术相关的纺织产品行业用户。

Category	Quartile
工程技术	4
工程技术, 材料科学纺织	4

Predictive analysis of electroconductive material parameters for system optimisation

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Journal Info

Category	Quartile
MATERIALS SCIENCE, TEXTILES	3