Modeling the electrostatic control over depth of the introduction of intelligent sensors into a polymer composite material
Igor I. Ivitskiy, Vladimir Sivetskiy, Viktor Bazhenov, Darya Ivitska · Eastern-European Journal of Enterprise Technologies · 2017
Intelligent polymeric composites are materials that can remotely transmit data on the properties of material, including the stress-strained state. It is necessary for the implementation of online monitoring of critically important parts and nodes. Obtaining data is achieved by the introduction of intelligent sensors into a polymer composite. Intelligent sensor is a miniature measuring device consisting of one or more transducers of measured magnitudes. They form an output signal, which is used for the remote transmission, storage and use in the control systems.A problem of obtaining data about the depth of the introduction of intelligent sensors into polymer composites is a multifaceted one. On one hand, the question is about technology and equipment for the introduction of sensors into polymer composites, the interpretation of data on deformations and other properties received from the sensors, and is connected to polymer engineering. On the other hand, the question of receiving signals about the depth of placement of intelligent sensors and their further processing is associated with nondestructive control.The present article investigated the possibility of receiving a signal about the depth of placement of intelligent sensors that are introduced at a certain depth into a polymer composite material, using the electrostatic method of nondestructive testing. We performed a simulation of the distribution of electric potential in the material. Through modeling, we determined maximum possible depth of the introduction of intelligent sensor into polymer material, which can be measured with a given accuracy, which is 40H, where H is the relative magnitude of the size of electrodes.The technique applied might be used to any dielectric material after adjusting the properties of material. The obtained results allow the determination by numerical simulation of maximum depth of the introduction of intelligent sensors into a polymer material.