Optical Component Gluing Pattern for Simultaneous Edge Coverage
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Solution Overview
Problem
Existing methods for defining a gluing pattern for optical components are time-consuming and require manual adaptation when the shape of the components changes, leading to inefficiencies.
Innovation Solution
A method for automatically defining a gluing pattern based on the shape, curvature, and glue dispensing parameters, involving calculations to ensure glue reaches the peripheral edge simultaneously across the component surface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If experimental techniques are used to define the gluing pattern, then the gluing pattern can be adapted to avoid lack of glue and glue overspreading, but the process becomes time-consuming and requires manual adaptation when component shape changes
Solution Approach 1:
The patent replaces manual experimental determination of gluing patterns with an automated computational system. The system uses algorithms that automatically calculate the gluing pattern based on input parameters (component shape, curvature, glue dispensing parameters), eliminating the need for manual trial-and-error experimentation while maintaining precision in glue application.
Solution Approach 2:
The system automatically adjusts gluing pattern parameters (position, distribution, volume of glue) based on changes in component geometry. When component shape or curvature changes, the computational system recalculates the optimal gluing pattern by modifying parameters such as glue dispensing location and volume, ensuring consistent performance without manual reconfiguration.
2Manufacturing precision
If manual adaptation of gluing pattern is performed when component shape changes, then the gluing pattern can be optimized for specific components, but the process loses efficiency and consistency
Solution Approach 1:
The patent implements a computational system that automatically generates and adapts gluing patterns based on component geometry. The system processes digital models of components and algorithmically determines optimal glue dispensing parameters, replacing manual adaptation processes and ensuring consistent, repeatable results across different component shapes and sizes.
Solution Approach 2:
The computational system serves multiple functions: it processes different component geometries, calculates optimal gluing patterns, determines glue volume and positioning, and adapts to various optical component shapes. This universal approach eliminates the need for separate manual optimization processes for each component type, improving both consistency and efficiency.
3Reliability
If glue is applied to reach peripheral edge simultaneously across the component surface, then gluing performance is enhanced, but the calculation complexity increases
Solution Approach 1:
The patent divides the component surface into multiple discrete points or zones where glue dispensing occurs. The system calculates optimal glue application parameters for each segment independently, then integrates these into the overall gluing pattern. This segmentation approach simplifies the mathematical computations required to achieve simultaneous peripheral edge coverage while maintaining high gluing performance.
Data Source
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AI summary
This method for automatically defining a gluing pattern for gluing a first optical component on a second optical component, said first optical component having a peripheral edge, a predetermined shape and a predetermined curvature, comprises a calculation step (10) taking account of the shape, the curvature and at least one glue dispensing parameter to deduce the gluing pattern, so that glue used for the gluing, applied on the shape at each point of the gluing pattern, reaches the peripheral edge at the same time.