Application of the global discrete-continuous optimization method with selective variables averaging to design of a fast NIR lens

Terentyev, Alexander; Muslimov, Eduard; Pavlycheva, N. K.

doi:10.1117/12.2597065

Cited by 3 publications

(3 citation statements)

References 4 publications

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“…The user receives a diverse set of potential solutions, enabling her or him to explore fresh design options and select the one that best aligns with the specific needs and priorities. Our first example highlights a fast near-infrared (NIR) lens, originally presented in reference [5]. In this study, the authors aimed to optimize the performance of a known six-element lens design.…”

Section: Start Lens Generation Under Practical Constraintsmentioning

confidence: 99%

Fermat meets PanDao: cost-efficient lens design

Duerr,

Faehnle,

Langenbach

et al. 2024

Optical Design and Engineering IX

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Current optical design concepts and methods heavily rely on ray tracing and optimization algorithms. These methods often require extensive expertise, good intuition, and involve iterative trial-and-error workflows. We propose a novel approach that directly generates promising initial designs based on the application-and user-specific requirements and constraints. Our newly developed 'First Time Right' (FTR)-based design tool automatically calculates all optical surface coefficients to minimize image blurring across all aberration orders. Importantly, it also incorporates any imposed practical constraints, such as stop position, length, spacings, distortion, telecentricity or back focal length restrictions.To further enhance our methodology, we have combined our FTR-based Start Lens Generator with PanDao, a software that models fabrication chains based on provided design data. This integration aims to minimize both manufacturing costs and risks. We have evaluated and refined several real-world lens design examples, resulting in excellent alternative designs that maintain equivalent optical performance while typically achieving less stringent requirements for tolerances and significant reductions in overall production costs.

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Section: Start Lens Generation Under Practical Constraintsmentioning

confidence: 99%

Fermat meets PanDao: cost-efficient lens design

Duerr,

Faehnle,

Langenbach

et al. 2024

Optical Design and Engineering IX

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show abstract

“…Even though the FTR method allows to combine refractive and/or reflective surfaces of spherical, aspheric and/or freeform shapes, we will focus on all-spherical lens designs generation here. The first example is a fast near infrared (NIR) lens taken from reference [6], where the authors applied and compared different global optimization strategies starting from a known six element lens design. The system specifications and constraints are as follows: a front stop, 100 mm focal length, f/1.5 (66.7 mm entrance pupil diameter), 16 degrees full field of view, distortion ≤ 5% (not disclosed, set by us), total track length ≤ 181.5 mm; back focal length ≥ 4 mm and NIR wavelength range from 0.9 to 1.7 um.…”

Section: Start Design Generation Under Practical Constraintsmentioning

confidence: 99%

Starting point generation for imaging systems under practical constraints

Duerr,

Faehnle,

Thienpont

2023

International Optical Design Conference 2023

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“…In reference paper [6], the authors applied and compared different global optimization strategies starting from a known six element lens design. The system specifications and constraints are as follows: a front stop, 100 mm focal length, f/1.5 (66.7 mm entrance pupil diameter), 16 degrees full field of view, distortion ≤ 5% (not disclosed, fixed by us), total track length ≤ 181.5 mm; back focal length ≥ 4 mm and NIR wavelength range from 0.9 to 1.7 um.…”

Section: St Example: a Fast Near Infrared (Nir) Lensmentioning

confidence: 99%

Optical design of first time right imaging systems

Duerr

Thienpont

2022

Optical Design and Testing XII

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Today's optical design of imaging systems relies mostly on efficient ray tracing and (local or global) optimization algorithms. Such a traditional 'step-and-repeat' approach to optical design typically requires considerable experience, intuition, and sometimes trial-and-error guesswork. Such a time-consuming design process applies especially, but not only, to freeform optical systems. In particular, the identification of a suitable initial design to then adapt and further optimize has often proven to be a laborious process.We present our developed 'first time right' design method that allows a highly systematic generation and evaluation of directly calculated imaging optics design solutions and thus enables a rigorous, extensive, and real-time evaluation in solution space. The method is based on differential equations derived from Fermat's principle that can be solved effectively by using a power series method. This approach allows calculating all optical surface coefficients that ensure minimal image blurring for each individual order of aberrations. Such directly calculated optical design solutions can be readily used as starting point for further and final optimization. We demonstrate the deterministic and holistic nature of our method and the streamlined design process for various real-world examples ranging from spherical lens designs to freeform imaging systems. The method allows calculating all optical surface coefficients that ensure minimal image blurring for each individual order of aberrations. We demonstrate the systematic, deterministic, scalable, and holistic character of our method for various design examples ranging from spherical lens designs to freeform imaging systems.

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Application of the global discrete-continuous optimization method with selective variables averaging to design of a fast NIR lens

Cited by 3 publications

References 4 publications

Fermat meets PanDao: cost-efficient lens design

Fermat meets PanDao: cost-efficient lens design

Starting point generation for imaging systems under practical constraints

Optical design of first time right imaging systems

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