Aspheric Surface Measurement Using Capacitive Sensors

Yuan, Daocheng; Zhao, Huiying; Tao, Xin; Li, Shaobo; Zhu, Xueliang; Zhang, Chupeng

doi:10.3390/s17061355

Cited by 6 publications

(4 citation statements)

References 13 publications

(15 reference statements)

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“…In [84]- [86], segment cylindrical capacitive sensors are used to measure the radial and axial error motion of rotating machinery. In [87], capacitive probes are used to measure the aspheric surface. In [88], a CPS with interdigital fingers is used for detection of microdroplet size and speed (as shown in Figure 15).…”

Section: B Capacitive Displacement Sensing For Indirect Measurementsmentioning

confidence: 99%

A Review on Applications of Capacitive Displacement Sensing for Capacitive Proximity Sensor

et al. 2020

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Capacitive proximity sensors (CPSs) are ubiquitous because of their simple design, low cost and low consumption. Capacitive displacement sensing, as one of the three sensing modalities, works for long distance and can be unitized to measure more physical quantities compared with capacitive volume and deformation sensing. In this paper, we firstly introduce the concept of capacitive displacement sensing. After that, we present applications of capacitive displacement sensing under three broad categories: distance measurements, indirect measurements, and the applications applied in smart environments. Finally, we discuss the challenges and possible solutions for CPSs development. We show that both the detection range and accuracy of CPS can be improved by multi-sensor fusion, and the application scenarios can be extensive through machine/deep learning approaches. We aim to provide a comprehensive, and state-of-theart review of the capacitive displacement sensing, and inspire more researchers and developers to find wide application perspectives.INDEX TERMS Capacitive proximity sensor (CPS), capacitive displacement sensing, distance measurement, indirect measurement, smart environment.

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Section: B Capacitive Displacement Sensing For Indirect Measurementsmentioning

confidence: 99%

A Review on Applications of Capacitive Displacement Sensing for Capacitive Proximity Sensor

et al. 2020

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“…The Shack Hartmann wavefront detector (hereafter referred to as Hartmann) is one of the core devices of the adaptive optics system. Its detection ability directly determines the resolution of the target imaging [1][2][3][4]. In order to improve its spatial resolution, we introduce compression perception technology.…”

Section: Introductionmentioning

confidence: 99%

Research on Atmospheric Turbulence Distortion Measurement Based on Compressed Sensing Technology

Huang

Deng²,

Lin³

2023

J. Phys.: Conf. Ser.

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The Hartmann wavefront sensor can measure the phase change of atmospheric turbulence in real time and realize the measurement of the distorted wavefront signal of atmospheric turbulence. However, existing Hartmann wavefront sensor microlens arrays are generally small, which limits their spatial resolution capabilities. By introducing compressed sensing technology into wavefront detection, this paper breaks through the limitations of the traditional Nyquist sampling theorem and achieves higher resolution spatial wavefront detection with a smaller microlens array.

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“…With the rapid development of ultra-precision machining technology, aspheric detection technology, and error compensation technology, the demand for optical components has immensely increased; this is because optical lenses play a vital role in modern machining & vision systems [1][2][3] . The application of optical lenses can be traced within diverse industries, Such as Medical, Aerospace & Defense, Life science, Semiconductor, Entertainment, Imaging, etc.…”

Section: Introductionmentioning

confidence: 99%

Integration of metrology in the manufacturing processes with smart control systems

Singh

XUE

Chen

2022

Thirteenth International Conference on Information Optics and Photonics (CIOP 2022)

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The metrology for quality control is mostly the last step in the traditional manufacturing processes. According to the measuring results, the produced parts are separated into “good” (within tolerance) and “bad” (out of tolerance) parts. The “bad” parts will be treated as a loss of production. Due to many unpredictable factors, some like tool wear, room temperature change, size variation of the row workpiece, and so on, could lead to some parts out of tolerance and many “bad” parts will be produced day by day. This paper will present an innovative method to integrate metrology in the manufacturing processes with smart control systems which could reduce the amount of “bad” parts tremendously. The metrology will be realized in-process, in-situ, or between two process steps. The measuring results will be used as feedback information to correct the command parameters for the control of the process. In such a way, the quality control of the manufacturing process will be carried out in a closed loop. The loss of production could be reduced to the minimum level.

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Aspheric Surface Measurement Using Capacitive Sensors

Cited by 6 publications

References 13 publications

A Review on Applications of Capacitive Displacement Sensing for Capacitive Proximity Sensor

A Review on Applications of Capacitive Displacement Sensing for Capacitive Proximity Sensor

Research on Atmospheric Turbulence Distortion Measurement Based on Compressed Sensing Technology

Integration of metrology in the manufacturing processes with smart control systems

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