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30 January 2019 Successful starting point selection for two-mirror meniscus scanner optimization for laser machining
Vladimir I. Yurevich, Viacheslav A. Grimm, Igor Kananykhin, Sergey G. Gorny
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Funded by: Government of Russian Federation, Government Council on Grants, Russian Federation
Optical Engineering, Vol. 58, Issue 1, 015109 (January 2019). https://doi.org/10.1117/1.OE.58.1.015109
Abstract
An algorithm for selecting the correct starting point for computer optimization of a two-mirror scanner with a meniscus lens is developed for use in laser machining. This algorithm performs joint analysis of aplanatism condition fulfillment and the field characteristics of the ghosts reflected from the meniscus surfaces back into the scanner mirror space. For integrity, all equations and estimates are given with respect to a major parameter: the curvature of the input surface. The second powerful tool for the optimization is the distance from the meniscus to the scanning mirrors, though its applicability is significantly limited by design considerations. Several scanner variants used to perform basic laser machining processes at various power levels are considered in detail. It is found that, for a fixed output numerical aperture, compacting the scanner always improves its optical performance. In general, compacting is an alternative to using scanners in systems with high-power laser sources. The results of this work are valid for any optical material and wavelength and are particularly relevant for systems based on CO2 lasers, in which such scanners remain widely used.
CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
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Vladimir I. Yurevich, Viacheslav A. Grimm, Igor Kananykhin, and Sergey G. Gorny "Successful starting point selection for two-mirror meniscus scanner optimization for laser machining," Optical Engineering 58(1), 015109 (30 January 2019). https://doi.org/10.1117/1.OE.58.1.015109
Received: 25 July 2018; Accepted: 8 January 2019; Published: 30 January 2019
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KEYWORDS
Scanners
Mirrors
Laser scanners
3D scanning
Space mirrors
Computer simulations
Gas lasers
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