Preparation method for PbZr0.52Ti0.48O3 intelligent coating and PbZr0.52Ti0.48O3 intelligent coating

Abstract

The embodiment of the invention discloses a preparation method of a PbZr0.52Ti0.48O3 intelligent coating. The preparation method comprises the following steps: forming an insulating layer on the surface of a substrate; forming a PbZr0.52Ti0.48O3 sensing layer on the surface of the insulating layer; carrying out polarization treatment on the PbZr0.52Ti0.48O3 sensing layer, so as to lead the PbZr0.52Ti0.48O3 sensing layer has piezoelectric effect. The acquired PbZr0.52Ti0.48O3 sensing layer has the function of a piezoelectric sensor, and is capable of monitoring and feeding back the abrasion status of the substrate surface in real time, so that the sensor needs not to be adhered, thereby the problem that the degree of adhesion between the sensor and the substrate is poor is avoided; and moreover, the insulating layer is provided between the PbZr0.52Ti0.48O3 sensing layer and the substrate, and a piezoelectric signal generated by the PbZr0.52Ti0.48O3 sensing layer to the substrate surface abrasion is very weak, thus the the piezoelectric signal generated by the PbZr0.52Ti0.48O3 sensing layer can be prevented from entering the substrate by insulating layer, thereby the piezoelectric signal loss by the substrate is avoided, the acquiring capability for the piezoelectric signal is enhanced, and the sensitivity for real-time monitoring and feeding back the abrasion status of the substrate surface is improved.

Description

technical field [0001] The present invention relates to the technical field of surface coating, more specifically, to a kind of PbZr 0.52 Ti 0.48 o 3 Preparation method of smart coating and PbZr 0.52 Ti 0.48 o 3 Smart coating. Background technique [0002] When the existing part surface is in service, if the dynamic damage cannot be sensed, the wear state of the part surface cannot be controlled. [0003] The current fatigue and wear tests on the surface of parts mostly use the changes of vibration, friction coefficient, temperature and other factors as the judgment basis for evaluating the wear state of the part surface. When the actual value of the selected judgment factor exceeds the preset threshold value, it means that the surface of the part has failed, and then the fracture analysis of the failed part is carried out, and the failure mechanism is reversely deduced through experience or classical theory. However, this kind of failure behavior and mechanism resear...

AI Technical Summary

Problems solved by technology

[0006] However, due to the complex structure of some mechanical equipment or the harsh working environment, the combination between the piezoelectric sensor and the equipment is poor, resulting in poor detection accuracy of the piezoelectric sensor and even the problem of falling off.

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