Experimental Research on PVDF Sensing Surface Characteristic Curve Applied to Topography Perception

Author:

Yu ZhenORCID,Yu Jing-Xian,Zhang Chen-Yang

Abstract

With the development of intelligent technology, it is of great significance to develop intelligent equipment with topography self-sensing function. The micro morphology perception technology applied to intelligent equipment is the key technology for development. In this paper, at first, topography perception theory based on the PVDF (Polyvinylidene Fluoride) technology is researched, then an experimental study is conducted to sense the characteristic points of the geometric curve of the preset topography surface used in the PVDF film, and then the Ferguson curve model is used to reconstruct the topography characteristic curve. The experimental results show that the reconstruction curve can truly reflect the features of the characteristic curve of the surface of the preset topography, and the feasibility of topography surface sensing technology by PVDF sensing technology is verified. The research provides technical support for the development of intelligent equipment with topography self-sensing function.

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Control and Systems Engineering

Reference31 articles.

1. A detection method based on line-structured light sensor for geometrical morphology of track slab

2. Continuum robot shape estimation using permanent magnets and magnetic sensors

3. Shape monitoring of morphing wing using micro optical sensors with different embedded depth

4. A near infrared system of three dimensional facial shape recovery based on PSFS;Guo-hui;Video Eng.,2018

5. Three dimensional shape reconstruction based on digital holography of stereo matching technology;Zan-zan;Chin. J. Lasers,2014

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