Lens Design Optimization Research Articles

Collimating lens design and aspheric optimization method of laser cauterization gun

In order to meet the increasing demand for beam quality of laser weapons, a design and aspheric optimization method of optical collimation system was proposed. This method was successfully applied to the lens design of a laser cauterization gun, so that the gun could obtain a higher quality collimating beam in a farther range. First, the initial structure was obtained based on the analysis of tactical and technical parameters and the calculation of the optical path, then the aspherical optimization was performed, the two simulation results were compared and analyzed based on ZEMAX. Numerical results show that the optimized structure has significant advantages. Its aspheric coefficient and curvature radius are 0.584 mm and 115.37 mm respectively, and the light energy utilization rate can reach 99.92% when the GB 1316-88 anti-reflection film is used. After tolerance analysis, the lens was processed and combined with the gun body for a board ablation experiment. The experimental results are in good agreement with the simulation results. The superiority of lens performance proves the feasibility and rationality of the proposed design and optimization method, and also provides a certain reference value for similar problems in other fields.

Revisiting a classic lens design problem

With global and local lens design optimization algorithms running on modern high-speed multi-core computers, highly optimized lens designs can be achieved quickly, even when started from scratch. Six years after two lens design experts compared a human designer's lens to what a global optimization algorithm can achieve, it is now time to revisit this classic lens design problem to demonstrate the level of performance that can be achieved with global optimization running on a state-of-the-art computer and no human designer intervention. Even though high-speed computers can iterate over many systems very quickly and converge on an optimized result, a human designer is still crucial in order to design the optimization approach and program the appropriate merit functions.

Lens design for active alignment of mobile phone cameras

Modern mobile phones contain one or multiple high-resolution camera modules with miniature multielement lenses. Active alignment of the lens and the image sensor is a common process improvement for the integration of mobile phone camera modules to increase manufacturing yields while maintaining high resolution. Active alignment of the image sensor can offer extra degrees of freedom in lens design optimization and thereby help lens designers offer lens designs with high nominal and as-built performance.

An optimization system for LED lens design

This study proposed a two-stage LED lens design optimization system, and used the viewing angle and the luminance uniformity as the optical quality objective. Optical design software (TracePro) and the orthogonal table of Taguchi method were used for simulation experiment. In the first stage, the viewing angle was used as the optical quality objective to find out the preliminary optimization of lens shape. The optimal LED lens size parameter combination of the first stage was used in the second stage to create L25(56) orthogonal table, and then the Back-Propagation Neural Network (BPNN) was used to establish the LED lens quality predictor to predict the FWHM angle and luminance uniformity in different overall sizes. The Genetic Algorithm (GA) with the quality predictor was used to find out the optimum design parameter combination of overall size according to the required quality objective. A LED with wide viewing angle and high luminance uniformity was taken as an example in this study to design a LED optical lens with 135° FWHM angle and 93.35% uniformity.

A Prophylactic Strategy for Global Synthesis in Lens Design

Prefaced with a brief description of the state of the art in computer aided lens design optimization, this paper reports a prophylactic strategy to obtain global or quasiglobal optimum solutions for this nondeterrninistic polynomial (NP) time hard problem. For the synthesis of multicomponent lens systems, a top down approach is employed first to obtain paraxial and central aberration targets for the constituent thin components. Central aberrations of a component are the aberrations when stop is on the component. Suitable structural designs for the individual components are determined by evolutionary programming. Overall systems synthesized with these quasiglobally optimum components are reoptimied by local optimization algorithms. Illustrative numerical results on the second step of the design procedure are presented.

Role of line search in least-squares optimization of lens design

The Levenberg-Marquardt version of least squares, namely the damped least-squares method, is widely used in lens design optimization. Several modifications of the approach have been proposed to accelerate convergence of the optimization procedure. Recent developments in nonlinear optimization theory indicate that the basic Gauss-Newton method of least squares can play a useful role for this purpose in many practical applications. Giving a brief outline of the pertinent developments, the paper reports on the feasibility of using the basic Gauss-Newton method of least squares in practical lens design optimization when, at each iteration, a line search procedure follows the least-squares solution to determine the optimum change vector for that particular iteration stage. It is observed that incorporation of the line search procedure provides good convergence even without any damping of the least-squares procedure. Some illustrative numerical results are presented.

Effect of dehydration upon bacterial flora of eggs

This study proposed a two-stage LED lens design optimization system, and used the viewing angle and the luminance uniformity as the optical quality objective. Optical design software (TracePro) and the orthogonal table of Taguchi method were used for simulation experiment. In the first stage, the viewing angle was used as the optical quality objective to find out the preliminary optimization of lens shape. The optimal LED lens size parameter combination of the first stage was used in the second stage to create L25(56) orthogonal table, and then the Back-Propagation Neural Network (BPNN) was used to establish the LED lens quality predictor to predict the FWHM angle and luminance uniformity in different overall sizes. The Genetic Algorithm (GA) with the quality predictor was used to find out the optimum design parameter combination of overall size according to the required quality objective. A LED with wide viewing angle and high luminance uniformity was taken as an example in this study to design a LED optical lens with 135° FWHM angle and 93.35% uniformity.