Abstract
CuO and V2O5 graphene quantum tunneling composites (GQTC) presented in this article were produced and their sensory properties were analyzed. The composites were synthesised using two stage high-power milling process, which resulted in materials that have good temeprature and pressure sensory properties. Described production process defines internal structure of materials such that when used as sensor in the desired range, it exhibits a strong percolation effect. The experiment, with controlled changing physical conditions during electrotribological measurement, enabled analyzing of the composites’ conductivity as a function of the sensory properties: applied temperature, pressure, tangential force and wear. The sensory characteristic was successfully modelled by invertible generalized equations, and used to create sensor capable of estimating temperature or pressure in the real time. The developed materials have the potential to be applied in the areas where miniaturization is essential, due to the materials exhibiting good sensory properties in mini and micro scale.
Highlights
Quantum tunneling composites (QTC) exhibiting very strong piezoresistive [1,2,3,4,5,6] as well as thermoresistive [7,8,9,10,11] sensory properties undergone extensive research in the last five years
Graphene quantum tunneling composites (GQTC) can be characterized by smooth conductance space which is more accurate than QTC [30] and can be successfully modelled by invertible equations, which enables them to be reliably used as sensors
As the temperature coefficient of resistivity (TCR) of the CuO GQTC is high (1.5%/K), and the model can be analytically inverted, the material can be used as a temperature sensor with very high sensitivity and very fast response time (Figure 8b)
Summary
Quantum tunneling composites (QTC) exhibiting very strong piezoresistive [1,2,3,4,5,6] as well as thermoresistive [7,8,9,10,11] sensory properties undergone extensive research in the last five years. 10%–40%/K [9,23] Those materials with giant temperature coefficients exhibit extremely non-linear and non-consistent behavior and are hard to accurately model and reproduce. Graphene quantum tunneling composites (GQTC) are synthesized using two stage high-power milling process [26,27,28], and are characterized by the critical filler density of the percolation curve [29]. In order to analyze these materials and their behavior, a special measuring station (called electrotribotester) was designed which allows measuring a wide range of parameters of the materials
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