Electrostatic Self-Assembly Technique for Parallel Precision Alignment of Optical Devices

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Stucki, M.; Schumann, C.; Raatz, A.: Electrostatic Self-Assembly Technique for Parallel Precision Alignment of Optical Devices. In: Herberger, D.; Hübner, M. (Eds.): Proceedings of the Conference on Production Systems and Logistics : CPSL 2021. Hannover : publish-Ing., 2021, S. 468-477. DOI: https://doi.org/10.15488/11255

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Sum total of downloads: 275




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Abstract: 
In precision assembly, the cost of machine technology increases significantly when high assembly accuracyis required (<15 µm). One reason is that higher accuracy with conventional automation technology requiresmuch more precise and expensive machine components, such as bearings and actuators. Electrostatic selfassembly is a technique for the automatic alignment of micro-components without the need for precisemachines and thus has the potential to reduce fabrication costs significantly. With this technique, electrodesare placed on the micro-components and the substrate. A low viscosity fluid is applied to the substrate andthe components are roughly positioned. One pair of electrodes on the component faces one pair of electrodeson the substrate, equivalent to plate capacitors connected in series. If an alternating voltage is applied to thesubstrate electrodes, an electric field is formed. This results in electrostatic attraction in the transversal andlateral direction, which leads to an alignment of the components on the substrate. In this paper, we describethe structure design process for electrostatic self-assembly. Instead of micro-components, we use arectangular glass wafer with a length of 125 mm. Within two test series, we prove that the existing techniqueis also suitable for a larger scale.
License of this version: CC BY 3.0 DE
Document Type: BookPart
Publishing status: publishedVersion
Issue Date: 2021
Appears in Collections:Proceedings CPSL 2021
Proceedings CPSL 2021

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pos. country downloads
total perc.
1 image of flag of Germany Germany 88 32.00%
2 image of flag of United States United States 36 13.09%
3 image of flag of Czech Republic Czech Republic 32 11.64%
4 image of flag of Russian Federation Russian Federation 31 11.27%
5 image of flag of China China 13 4.73%
6 image of flag of France France 11 4.00%
7 image of flag of Netherlands Netherlands 9 3.27%
8 image of flag of Italy Italy 7 2.55%
9 image of flag of Israel Israel 7 2.55%
10 image of flag of Canada Canada 6 2.18%
    other countries 35 12.73%

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