AI Article Synopsis
- Spherical joints are increasingly used in various engineering fields, but their measurement accuracy can be compromised by manufacturing and installation imperfections.
- The study focuses on analyzing errors in a spherical capacitive sensor, looking at how different factors like the shape of components and misalignment affect its performance.
- By developing mathematical models and validating them through simulations, the research reveals that certain factors, like the shape and axial offset, greatly impact accuracy, while radial offset has a minimal effect.
Article Abstract
Spherical joints have attracted increasing interest in the engineering applications of machine tools, industrial robots, medical equipment, and so on. As one of the promising methods of detecting the micro-clearance in spherical joints, the measurement accuracy of a spherical capacitive sensor could be affected by imperfectness during the manufacturing and installation of the sensor. This work presents error analysis of a spherical capacitive sensor with a differential structure and explores the dependence of the differential capacitance on manufacturing and the installation imperfectness. Five error sources are examined: the shape of the ball and the capacitive plate, the axial and radial offset of the plate, and the inclined installation of the plate. The mathematical models for calculating the capacitance errors of the spherical capacitive sensor are deduced and validated through a simulation using Ansoft Maxwell. The results show that the measurement accuracy of the spherical capacitive sensor is significantly affected by the shape of plates and ball, the axial offset, and the inclined angle of the plate. In contrast, the effect of the radial offset of the plate is quite small.
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|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7570230 | PMC |
| http://dx.doi.org/10.3390/mi11090837 | DOI Listing |
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