Laser Cutting Parameter Conversion for Smart Corner Quality
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current laser cutting technologies face challenges in achieving high-quality cuts with efficient resource use, particularly in adapting dynamic cutting parameters to varying speeds and curvatures, leading to unsatisfactory results and increased gas consumption.
Innovation Solution
A method for calculating a second cutting parameter data set based on a movement profile object, using a conversion algorithm to dynamically adjust focus position, gas pressure, and other parameters as a function of cutting speed and acceleration, ensuring optimal settings for different contour geometries.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If a single set of cutting parameters is used for both straight cuts and corners/radii, then the machine architecture remains simple and easy to operate, but cutting quality becomes unsatisfactory in corners and radii regions
Solution Approach 1:
The patent implements dynamic adaptation of cutting parameters (focus position, gas pressure, laser power, pulse width, pulse frequency, nozzle distance) based on real-time cutting conditions. The system continuously adjusts these parameters according to the cutting speed and geometry type (straight cut vs. corner/radius), transforming the static machine architecture into a dynamic system that adapts to varying cutting requirements, thereby improving corner quality without requiring fundamental architectural changes
Solution Approach 2:
The patent changes multiple cutting parameters simultaneously based on the cutting situation. A conversion algorithm calculates corrected parameter sets by considering the relationship between cutting speed, acceleration, and geometry type. This multi-parameter adjustment approach resolves the contradiction by optimizing cutting quality through parameter variation rather than through complex mechanical modifications
2Manufacturing precision
If cutting parameters are optimized for corners and radii, then corner quality improves, but feed rate for straight cuts must be reduced
Solution Approach 1:
The patent applies local quality optimization by adjusting cutting parameters specifically for corner and radius regions while maintaining optimal parameters for straight cut sections. The system identifies geometry type and applies appropriate parameter corrections locally, allowing high feed rates on straight cuts while ensuring quality corners, rather than reducing overall feed rate for the entire cutting path
Solution Approach 2:
The dynamic parameter adaptation system allows the machine to switch between different parameter optimization modes based on real-time cutting conditions. During straight cuts, parameters are optimized for maximum feed rate and productivity. When entering corners or radii, the system dynamically adjusts parameters to prioritize quality, then returns to productivity-optimized settings for straight sections, thereby resolving the feed rate vs. quality trade-off
3Productivity
If cutting parameters are optimized for straight cuts, then feed rate increases and productivity improves, but corner and radius quality becomes unsatisfactory
Solution Approach 1:
The system dynamically switches between productivity-optimized parameters for straight cuts and quality-optimized parameters for corners/radii. The conversion algorithm continuously monitors cutting conditions and applies appropriate parameter corrections, allowing the machine to maintain high feed rates during straight cutting while automatically adjusting parameters when entering corner or radius regions to ensure quality
Solution Approach 2:
The patent segments the cutting path into different geometry types (straight cuts, corners, radii) and applies optimized parameter sets to each segment. This segmentation allows independent optimization of parameters for each cutting situation, enabling high productivity on straight sections while ensuring quality on corner sections, rather than using a single compromised parameter set for the entire path
4Manufacturing precision
If cutting gas volume is increased to improve corner quality, then corner processing quality improves, but overall gas consumption increases
Solution Approach 1:
The patent optimizes gas pressure as one of the dynamic cutting parameters that is adjusted based on cutting conditions. The conversion algorithm calculates appropriate gas pressure corrections for corner and radius regions, applying increased gas pressure only when and where needed for quality improvement, rather than maintaining high gas pressure throughout the entire cutting path. This reduces overall gas consumption while still achieving satisfactory corner quality
Data Source
AI summary
In one aspect, the present invention relates to a computing unit (RE) for executing a conversion algorithm, having an interface (UI) for acquiring a first cutting parameter data set (1SP); and having a processor (P) which is designed to extract a movement profile object (bpo) and which is also designed to execute a conversion algorithm that is stored in a memory of the electronic computing unit (RE) so that it can be loaded and/or executed to calculate and provide the second cutting parameter data set (2SP) to the acquired first cutting parameter data set (1SP), wherein the second cutting parameter data set (2SP) is calculated as a function of the extracted movement profile object (bpo).