Laser Repair Control for Multi-Layer Film Underlayer Variation
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Solution Overview
Problem
Manual laser repair of multi-layer film substrates is inefficient and quality-dependent on operator skill, while automated methods struggle to accurately infer underlayer differences, leading to insufficient or excessive repair.
Innovation Solution
A laser repair method and device that identify a peripheral region around the laser irradiation position, divide it into regions based on common reflected light information, and infer the layer structure from analogy to set appropriate laser working conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual operation is used for laser repair, then repair quality can be maintained by operator skill, but operation efficiency is low and repair time is long
Solution Approach 1:
The patent replaces manual mechanical operation with an automated optical measurement and control system. The laser repair device uses optical sensors to detect layer structure information and automatically determines laser working conditions, substituting the operator's manual skill-based judgment with an automated detection and control system that achieves both high efficiency and consistent quality.
2Productivity
If automated image processing is used for laser repair, then operation efficiency is improved, but repair quality deteriorates due to inability to accurately infer underlayer differences
Solution Approach 1:
The patent performs preliminary optical measurement and analysis of the layer structure before executing the laser repair operation. The system detects reflected light characteristics and infers underlayer structure in advance, allowing the automated system to select appropriate laser working conditions based on pre-acquired structural information, thereby ensuring high repair quality while maintaining automation efficiency.
3Manufacturing precision
If working condition is changed for each defect part, then repair precision is improved, but device complexity increases due to need for manual adjustment
Solution Approach 1:
The patent implements a dynamic working condition selection mechanism where laser parameters are automatically adjusted based on real-time detection of layer structure characteristics. The system dynamically determines optimal laser working conditions for each defect part by analyzing optical measurement data, enabling high precision repair without requiring complex manual adjustment procedures.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enables efficient and high-quality automated laser repair by accurately inferring underlayer differences and optimizing repair conditions, independent of operator skill, thus improving operation efficiency and consistency.
Implementation Method 1
irradiating the defect part with a laser beam
Implementation Method 2
irradiating the defect part with a laser beam under a set laser working condition
Data Source
AI summary
Even in the case where an underlayer differs or a film thickness varies, high-quality repair is allowed to be performed.When a laser repair method performs repair work by setting a laser irradiation area for a defect part of a multi-layer film substrate and irradiating the defect part with a laser beam under a set laser working condition, the laser repair method includes: identifying a peripheral region of a laser beam irradiation position; dividing the identified peripheral region into a plurality of divided regions for each common reflected light information; inferring a layer structure at the laser beam irradiation position from analogy based on an arrangement pattern of the divided regions positioned around the laser beam irradiation position; and setting the laser working condition of the laser beam to be emitted based on the layer structure inferred from analogy.