Laser Machining Spatter Tracking for Accurate Weld Quality Control
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Solution Overview
Problem
Existing methods for determining spatter characteristics in laser machining often falsify the count of spatter particles due to multiple detections in multiple images, leading to inaccurate assessment of machining quality and material loss.
Innovation Solution
Implementing an across-the-images evaluation method that tracks spatter particles over multiple images, ensuring each particle is counted only once, and using this data to adjust machining parameters like laser power distribution and pulse frequency to minimize spatter formation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If high power density is used to achieve deep welding, then welding depth is improved, but spatter particle formation increases
Solution Approach 1:
The system implements feedback control by continuously monitoring spatter particle characteristics during laser machining and using this information to dynamically adjust machining parameters. When spatter formation is detected, the system can modify laser power, scanning speed, or other parameters to reduce spatter while maintaining welding depth requirements.
Solution Approach 2:
The patent applies parameter changes by adjusting laser machining parameters such as power density, pulse duration, or scanning speed based on real-time spatter detection. This allows optimization of the machining process to achieve deep welding with reduced spatter formation by finding the optimal parameter combination for each specific condition.
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
Accurately determines spatter characteristics such as number, size, production rate, and trajectory, allowing for precise adjustment of machining parameters to reduce material loss and improve welding quality.
Implementation Method 1
recording images of a spatial region through which spatter particles fly during the machining of the workpiece
Data Source
AI summary
A method for determining at least one spatter characteristic of spatter particles which emanate from a melting zone of a workpiece during machining of the workpiece using a machining beam, in particular a laser beam, includes recording images of a spatial region through which spatter particles fly during the machining of the workpiece, and determining the at least one spatter characteristic by evaluating the recorded images. The spatter particles are respectively tracked over multiple images recorded one after the other in time and the at least one spatter characteristic is determined by using across-the-images evaluation of the multiple images. A machining machine and a non-transitory computer program product are also provided.