Athermal Optical Initial Structure With PSO Material Matching
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Solution Overview
Problem
Current methods for designing athermal optical systems are inefficient and do not consider the selection of optical materials in the initial structure, leading to low design efficiency and high demands on professional expertise, with existing methods being complex, time-consuming, and often requiring trial and error.
Innovation Solution
A method using a particle swarm optimization algorithm to automatically optimize the initial structure of athermal optical systems by selecting optical materials based on design specifications, including evaluation functions for focal length, chromatic aberration, thermal aberration, and curvature radius, to achieve a reasonable material match and improve design efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If the analytical method (PW method) is used to calculate structural parameters, then the design can meet requirements based on primary aberration theory, but the process becomes complex and is only applicable to simple athermal optical systems
Solution Approach 1:
The patent replaces the analytical calculation method (PW method) with a numerical optimization method (particle swarm optimization algorithm). Instead of manually calculating structural parameters based on primary aberration theory, the system uses computational algorithms to automatically optimize the initial structure, thereby reducing design process complexity while maintaining manufacturing precision
Solution Approach 2:
The patent changes the approach from fixed analytical parameter calculation to dynamic parameter optimization. The particle swarm optimization algorithm iteratively adjusts structural parameters (such as lens curvatures, thicknesses, and material selections) to find optimal solutions, enabling the method to handle complex athermal optical systems that cannot be solved by traditional analytical methods
2Reliability
If the scaling method is used to find a system in existing patents or lens libraries as a starting point, then a reference structure can be obtained, but the process becomes time-consuming and based on trial and error
Solution Approach 1:
The patent performs preliminary optimization of the initial structure using the particle swarm optimization algorithm before detailed design begins. By pre-optimizing key parameters and material selections based on design specifications, the system eliminates the need for time-consuming trial and error during the scaling method, significantly reducing design time while maintaining structure feasibility
Solution Approach 2:
The system enables self-service optimization where the particle swarm optimization algorithm automatically adjusts and optimizes the initial structure parameters without requiring manual trial and error by designers. The algorithm independently evaluates different configurations and converges to optimal solutions, freeing designers from repetitive scaling adjustments
3Device complexity
If existing design methods are used that do not consider optical material selection in the initial structure, then the design process is simpler, but the design efficiency becomes extremely low and requires high professional ability
Solution Approach 1:
The patent merges the optical material selection process with the initial structure optimization process. Instead of treating material selection and structural design as separate steps, the particle swarm optimization algorithm simultaneously optimizes both material parameters (refractive index, Abbe number, thermal expansion coefficient) and structural parameters (curvatures, thicknesses), improving design efficiency without significantly increasing process complexity
Solution Approach 2:
The patent creates a universal optimization framework that handles both material selection and structural design in a single integrated process. The particle swarm optimization algorithm serves multiple functions: selecting optimal materials, determining structural parameters, and ensuring athermal performance, thereby大幅提升 design efficiency while maintaining reasonable process complexity
4Loss of time
If traditional design methods are used that require adjusting high-low temperature conditions after design completion, then the initial design can be completed quickly, but the professional ability requirements increase and design efficiency is reduced
Solution Approach 1:
The patent incorporates temperature compensation considerations into the preliminary optimization stage. The particle swarm optimization algorithm uses thermal aberration coefficients and thermal expansion data to pre-optimize the initial structure for athermal performance across the operating temperature range. This preliminary thermal optimization eliminates the need for extensive post-design adjustments, reducing both time and expertise requirements
Solution Approach 2:
The system implements feedback mechanisms where thermal performance data from different temperature conditions is used to guide the optimization process. The particle swarm optimization algorithm iteratively adjusts structural and material parameters based on thermal aberration feedback, ensuring the initial structure is inherently optimized for athermal performance without requiring manual iterative adjustments by designers
Data Source
AI summary
The present disclosure relates to a method for constructing the initial structure of an athermal optical system, specifically relating to a method for constructing the initial structure of an athermal optical system based on particle swarm optimization algorithm, which is used to solve the shortcomings of the current athermal optical system designs where optical design software heavily relies on the initial structure of the athermal optical system, and the construction of the initial structure does not consider the selection of optical materials, resulting in extremely low efficiency of the athermal optical system designs. The method for constructing the initial structure of an athermal optical system based on particle swarm optimization algorithm provides a new design concept for the athermal optical system, which achieves a reasonable match between optical materials and mechanical materials in the initial structure stage and improves the efficiency of subsequent design optimization.