Paper
18 December 2012 A simulation model for the development of an aspheric lens adjustment system
Author Affiliations +
Abstract
A simulation model for the development of an aspheric lens adjustment system that is based on multi-point optical distance measurement is presented. Adjustment of aspheric lenses means the correction of decentering and tilt errors within the mount of the lens. The presented model includes the determination of decentering and tilt errors using distance measurement variation of the lens surface at certain radial positions over 360° rotation of the lens. However, the occurring noise in the distance measurement as well as an uncertainty in the distance sensor positioning lead to errors remaining after the determination of decentering and tilt by the new method. The size of these residual errors can be estimated by the presented simulation tool with statistical significance. The simulation model provides the possibility to use arbitrary noise values as input quantity. The individual aspheric lens design data, the number of chosen measurement positions, and the specified noise level determine the statistically expected residual error after lens adjustment. It provides the possibility to determine the optimal arrangement of the positions of the distance sensor and the number of repetitions for every given aspheric lens for the enforcement of the requested measurement accuracy. The newly developed simulation model is a necessary tool for a novel metrology method of the adjustment of aspheric lenses.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Christian Bräuer-Burchardt, Susanne Zwick, Matthias Beier, Andreas Gebhardt, and Peter Kühmstedt "A simulation model for the development of an aspheric lens adjustment system", Proc. SPIE 8550, Optical Systems Design 2012, 855008 (18 December 2012); https://doi.org/10.1117/12.981172
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KEYWORDS
Distance measurement

Aspheric lenses

Sensors

Error analysis

Data modeling

Computer simulations

Statistical analysis

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