Date
2022-04-06Metadata
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Aufsatz
Modeling of fiber-coupled confocal and interferometric confocal distance sensors
Abstract
Laser distance sensors are a widespread, fast and contactless approach for distance and surface topography measurements. Main characteristics of those sensors are given by resolution, measurement speed and sensor geometry. With decreasing sensor size, the alignment of the optical components in sensor setup becomes more challenging. The depth response of optical profilers is analyzed to obtain characteristic parameters and, thus, to value the alignment and the transfer behavior of those sensors. We present a novel miniaturized sensor setup comprising of confocal and interferometric confocal signals within one sensor in order to compare both principles simply by obscuring the reference arm by an absorber. Further, we introduce a theoretical signal modeling in order to analyze influences such as spatial coherence, Gaussian beam characteristics and tilted reflectors on depth response signals. In addition to this, we show that the coherent superposition significantly reduces the axial resolution due to the confocal effect in interferometric signals compared to simple confocal signals in measurement and simulation results. Finally, an appropriate fit function is presented, in order to figure out characteristic sensor parameters from the obtained depth response signal. In this context, a good agreement to simulated and measured signals is achieved.
Citation
In: Measurement Science and Technology Volume 33 / Number 7 (2022-04-06) eissn:1361-6501Sponsorship
Gefördert im Rahmen eines Open-Access-Transformationsvertrags mit dem VerlagCitation
@article{doi:10.17170/kobra-202205056137,
author={Siebert, Markus and Hagemeier, Sebastian and Pahl, Tobias and Serbes, Hüseyin and Lehmann, Peter},
title={Modeling of fiber-coupled confocal and interferometric confocal distance sensors},
journal={Measurement Science and Technology},
year={2022}
}
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2022-06-03T13:59:50Z 2022-06-03T13:59:50Z 2022-04-06 doi:10.17170/kobra-202205056137 http://hdl.handle.net/123456789/13895 Gefördert im Rahmen eines Open-Access-Transformationsvertrags mit dem Verlag eng Namensnennung 4.0 International http://creativecommons.org/licenses/by/4.0/ high-speed sensor confocal senor interferometric sensor depth response signal modeling laser interferometer 600 Modeling of fiber-coupled confocal and interferometric confocal distance sensors Aufsatz Laser distance sensors are a widespread, fast and contactless approach for distance and surface topography measurements. Main characteristics of those sensors are given by resolution, measurement speed and sensor geometry. With decreasing sensor size, the alignment of the optical components in sensor setup becomes more challenging. The depth response of optical profilers is analyzed to obtain characteristic parameters and, thus, to value the alignment and the transfer behavior of those sensors. We present a novel miniaturized sensor setup comprising of confocal and interferometric confocal signals within one sensor in order to compare both principles simply by obscuring the reference arm by an absorber. Further, we introduce a theoretical signal modeling in order to analyze influences such as spatial coherence, Gaussian beam characteristics and tilted reflectors on depth response signals. In addition to this, we show that the coherent superposition significantly reduces the axial resolution due to the confocal effect in interferometric signals compared to simple confocal signals in measurement and simulation results. Finally, an appropriate fit function is presented, in order to figure out characteristic sensor parameters from the obtained depth response signal. In this context, a good agreement to simulated and measured signals is achieved. open access Siebert, Markus Hagemeier, Sebastian Pahl, Tobias Serbes, Hüseyin Lehmann, Peter doi:10.1088/1361-6501/ac5f29 Hochgeschwindigkeit Sensor Signal Optisches System Mechanische Eigenschaft publishedVersion eissn:1361-6501 Number 7 Measurement Science and Technology Volume 33 false 075104
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