Smart optimization for robust optical performance in camera lens design

This information is excerpted from a case study published by Noesis Solutions. Access the complete case study here.

Besides providing the capability to shoot high-quality images, the development of new camera optics needs to deliver a product that is competitive in terms of price and weight. Geometry imperfections and clearances between the separate lens elements of photographic lenses typically reduce the quality and reliability of the manufactured product. To take into account the impact of these tolerances on product quality, engineers used Optimus from Noesis Solutions as part of their development process.

With Optimus, the engineers successfully combined both CETOL 6σ tolerance analysis software and CODE V optical design software into an automated simulation-based design process. This way the engineering team evaluated the impact of assembly tolerances for each of the individual lens tubes (defined in CETOL 6σ) on the optical performance of the camera lens (calculated by CODE V). The result is a photographic lens design which can be manufactured easily and cost-efficiently, yet reliably delivers the expected image quality.

Optimus interfaced with both CETOL 6σ and CODE V to build a formalized and repeatable simulation workflow. Source: Noesis Solutions
Cross-section of camera lens, visualizing the assembly of 6 nominally concentric lenses. Source: Noesis Solutions
Optical wavefront through camera lens—ideal wavefront (top image) vs. real-world wavefront (bottom image). Source: Noesis Solutions


Cumulative distribution of RMS wavefront aberration for 3 angles of view, to be shifted to the left in order to improve the optical performance of the lens design. Source: Noesis Solutions
Surrogate models (or response surface models) for RMS wavefront aberration are well suited for design space screening and fast design optimization. Source: Noesis Solutions
Correlations between RMS wavefront and coaxiality tolerances highlight the parameters of major importance. Source: Noesis Solutions


Contribution plot for RMS wavefront aberration as derived from a surrogate model built in Optimus. Source: Noesis Solutions


Comparison of selected design parameters & optimization objective, before and after optimization. Source: Noesis Solutions

Access the complete case study here.