Laser Processing Inspection Using Candidate Defect Selection
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Solution Overview
Problem
Laser micromachining processes face challenges in achieving consistent feature quality due to non-uniformities in workpieces, aging of laser sources, and degradation of optical components, leading to variations in feature characteristics and increased risk of missed defects during post-processing inspection.
Innovation Solution
A laser-processing apparatus with a controller configured to select candidate features for directed inspection by comparing per-feature laser energy to a threshold and identify their locations for targeted quality assessment, using real-time adjustments and post-processing inspection techniques to ensure consistent feature quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional laser processing systems are used, then laser processing can be performed, but operator safety is compromised due to uncontrolled laser beam scattering and lack of real-time monitoring
Solution Approach 1:
The laser processing apparatus integrates multiple functions into a single system: laser beam processing, real-time scattering monitoring, and automated safety responses. The scattering light detector serves dual purposes by monitoring both processing quality and operator safety, while the control unit coordinates multiple safety actions (shutter closure, alarm activation) based on a single detection event, eliminating the need for separate safety systems
Solution Approach 2:
The system implements real-time feedback through the scattering light detector that continuously monitors the laser processing zone. When abnormal scattering patterns are detected, the control unit immediately responds by closing the shutter and activating alarms, creating a closed-loop safety system that adapts to actual processing conditions rather than relying on predetermined safety protocols
2Manufacturing precision
If laser processing is performed without real-time monitoring, then processing speed can be maintained, but manufacturing precision deteriorates due to inability to detect processing anomalies
Solution Approach 1:
The scattering light detector is positioned to capture light scattered during the laser processing operation in real-time, enabling early detection of processing anomalies such as improper focus, material defects, or equipment malfunctions. This preliminary detection allows for immediate corrective action before defective products are produced, maintaining high manufacturing precision without requiring post-processing inspection
Solution Approach 2:
The system replaces manual inspection methods with automated optical monitoring using the scattering light detector and control unit. The detector automatically analyzes light scattering patterns to assess processing quality, eliminating the need for physical measurement and inspection steps that would slow down production while maintaining or improving manufacturing precision
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
Enhances the consistency of laser-processed features by identifying and inspecting critical areas, reducing the risk of defects, and optimizing laser energy delivery for improved quality control.
Implementation Method 1
a laser beam for processing a workpiece
Implementation Method 2
concentrating optical energy to modify the material
Implementation Method 3
scattered laser light may pose a hazard to an operator
Implementation Method 4
a scattering light detector configured to detect light scattered by the workpiece
Data Source
Figure 1
Figure 2
AI summary
A laser-processing apparatus for forming features in a workpiece includes at least one sensor for generating process control data representing a) at least one characteristic of the apparatus either before, during or after the workpiece is processed to form a set of features, b) at least one characteristic of the workpiece either before, during or after the workpiece is processed to form a set of features, and/or c) at least one characteristic of an ambient environment in which the apparatus is located either before, during or after the workpiece is processed to form a set of features. A controller executes, or facilitate execution of, a candidate feature selection process whereby process control data is processed to estimate whether any of the features formed in the workpiece are defective and the location of any feature estimated to be defective is identified.