3D Laser Ablation Path Optimization for Complete Surface Coverage
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Solution Overview
Problem
Conventional laser ablation systems face challenges in achieving complete coverage of three-dimensional surfaces with minimal over or under ablation, particularly when dealing with large surfaces and those featuring significant 3D features, due to mismatched surface outlines, shadowing, and non-uniform energy application.
Innovation Solution
The implementation of an optimized-coverage selective laser ablation system that uses a controller to generate and adjust a preliminary ablation path based on a 3D virtual model of the surface, optimizing scan width, orientation, and spacing to ensure efficient and uniform energy application across irregular surfaces, minimizing ablation outside designated areas and reducing processing time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a basic raster scan pattern is used for laser ablation, then the processing speed is maintained, but the coverage completeness deteriorates due to shadowing by surface features and mismatch between rectangular raster shape and surface outline
Solution Approach 1:
The patent implements dynamic adjustment of the laser scan pattern by modifying trajectory parameters in real-time based on the 3D surface geometry. The raster scan is transformed into an adaptive scan pattern that dynamically conforms to the surface topology, allowing the laser to follow contour lines and adjust to varying surface heights, thereby eliminating shadowing effects while maintaining processing speed
Solution Approach 2:
The patent transitions from a traditional 2D rectangular raster scan to a 3D adaptive scan pattern that incorporates the vertical dimension (Z-axis) of the surface geometry. By using contour-based trajectories and adjusting scan paths in three-dimensional space, the system achieves complete coverage of complex surfaces including edges and curved features that cannot be accessed by planar raster scanning
2Manufacturing precision
If the laser scan path is extended to cover the entire surface, then the coverage is improved, but the processing time increases due to repeated passes and optimization iterations
Solution Approach 1:
The patent performs preliminary actions by first acquiring the 3D geometry of the surface and pre-calculating the optimal adaptive scan pattern before actual laser ablation begins. The system generates the customized trajectory in advance, determining all scan parameters including path geometry, scan speed variations, and dwell times beforehand, which eliminates the need for repeated passes and real-time optimization iterations during the ablation process
Solution Approach 2:
The patent creates a digital 3D copy or virtual model of the target surface geometry, which is then used to simulate and optimize the scan pattern virtually before execution. This virtual modeling allows the system to predict and correct potential coverage issues in advance, ensuring complete coverage on the actual surface without requiring multiple corrective passes that would increase processing time
3Device complexity
If a fixed laser scan pattern is used, then the device complexity is minimized, but the adaptability to different surface geometries deteriorates
Solution Approach 1:
The patent achieves adaptability through parameter changes in the scan trajectory rather than through complex hardware modifications. The system varies scan parameters including path geometry, scan direction, speed profiles, and dwell times based on the specific surface geometry being processed. These parameter adjustments are calculated automatically from the 3D surface model, allowing the same laser system to adapt to different surface shapes without adding mechanical complexity
Solution Approach 2:
The patent implements a universal adaptive scanning approach that can handle various surface geometries including flat surfaces, curved surfaces, and complex 3D features using a single standardized methodology. The contour-based adaptive scan pattern generation algorithm serves as a multi-functional solution that automatically adapts to different surface types, eliminating the need for multiple specialized scanning systems or complex mechanical reconfigurations
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 ensures complete coverage of designated areas with acceptable levels of ablation, minimizing over or under ablation and optimizing processing time, thereby enhancing the efficiency and accuracy of the laser ablation process on complex surfaces.
Implementation Method 1
Laser ablation is a method to clean or refresh surfaces by applying laser energy to the surface to remove surface contaminants or layers
Implementation Method 2
The effectiveness of laser ablation is substantially due to the laser energy absorbed at the surface
Data Source
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AI summary
Optimized-coverage selective laser ablation systems and methods may be utilized to prepare (ablate) a three-dimensional surface. Methods comprise receiving a 3D virtual model of the surface to be ablated, generating a preliminary ablation path, and optimizing the preliminary ablation path to produce an adapted ablation path. Methods may comprise ablating the surface according to the adapted ablation path. The preliminary ablation path may be based on scanning a laser sheet across a two-dimensional projection of the surface. The optimization may adjust one or more waypoints of the preliminary ablation path to achieve complete coverage of the surface at acceptable levels of ablation, with little to no ablation outside the surface, and with acceptable (e.g., at least locally minimal) time to ablate the surface.