In-line Laser Profilometry for Edge Wall Inspection
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Solution Overview
Problem
CNC machines often produce non-conforming edge walls due to dull cutting tools, calibration issues, or incorrect programming, leading to material gouging, fraying, and other irregularities, which are difficult to detect until assembly, resulting in significant rework and downtime.
Innovation Solution
An in-line laser profilometry inspection system that integrates with ultrasonic cutting machines, using lasers, sensors, and cameras to inspect edge walls in real-time, providing immediate feedback and allowing for calibration adjustments to ensure conformance to engineering standards.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If inspection is performed after assembly, then detection of non-conformances is possible, but rework time and downtime increase significantly
Solution Approach 1:
The inspection system performs measurements before the cutting process completes, detecting non-conformances in real-time during manufacturing. This preliminary detection allows for immediate corrective action rather than waiting until assembly, thereby reducing rework time and downtime while maintaining detection capability.
Solution Approach 2:
The system provides real-time feedback during the cutting process by continuously monitoring edge wall geometry. When non-conformances are detected, the system can immediately alert operators or adjust process parameters, creating a closed-loop control system that prevents defective parts from completing the manufacturing cycle.
2Reliability
If machine offsets and maintenance are used to address non-conformances, then some problems are mitigated, but solutions are only partial and temporary
Solution Approach 1:
The system replaces mechanical adjustment methods (machine offsets and manual maintenance) with an optical measurement and detection system. By using laser profilometry and image capture to precisely measure edge wall geometry, the system identifies the root causes of non-conformances more accurately than mechanical adjustments alone, enabling more effective and permanent corrections.
Solution Approach 2:
The inspection system enables the manufacturing process to self-diagnose problems by automatically measuring and analyzing edge wall geometry. This self-monitoring capability allows the system to identify when offsets or maintenance are needed, transforming reactive maintenance into a proactive, data-driven process that improves precision rather than merely mitigating problems temporarily.
3Loss of time
If real-time inspection is implemented, then edge wall non-conformances are detected immediately, but system complexity increases
Solution Approach 1:
The inspection system is divided into modular functional components: image capture subsystem, laser measurement subsystem, processing subsystem, and communication subsystem. Each module performs a specific function and can be independently configured or maintained. This segmentation reduces overall system complexity while enabling real-time inspection capabilities.
Solution Approach 2:
The system uses multi-functional components that serve multiple purposes. For example, the captured images serve both as measurement data and as permanent records for traceability. The laser system provides both geometric measurement and surface characterization. This multi-functionality reduces the number of separate systems needed, thereby reducing overall complexity while maintaining real-time detection capability.
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
The system enables real-time detection and mitigation of edge wall non-conformances, reducing rework and downtime by providing immediate feedback and allowing for continuous calibration, ensuring parts meet predetermined engineering standards during production.
Implementation Method 1
The first laser transmits a first light signal to the stringer charge, which reflects off a first sidewall of the stringer charge
Data Source
Figure 1
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Figure 4
AI summary
An in-line laser profilometry inspection system broadly comprises a first laser, a first sensor, a second laser, a second sensor, a camera, a calibration standard, and an interface. The lasers transmit first and second light signals to a stringer charge or other part. The sensors detect the light signals reflecting off first and second edge walls of the part. The camera obtains a top-down image of the part. The calibration standard provides structure for calibrating the inspection system via the lasers and sensors. The interface allows a user to oversee part inspection. Data generated from the reflected light signals corresponding to a part profile may be analyzed based on at least first and second derivatives of the part profile such that the part is inspected during a cutting procedure.