Beam Cutting Tool Paths Using Empirical Cutting Models
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Solution Overview
Problem
Conventional modeling techniques for beam cutting applications, such as waterjet cutting, are limited in their ability to optimize tool paths and machine commands, often requiring extensive manual trial and error, consuming excessive resources, and producing inferior results due to their narrow focus and dependence on fixed parameters.
Innovation Solution
A software and hardware facility that automatically generates tool paths and machine commands for beam cutters, using statistical models based on empirical cutting data to predict cutting behaviors and optimize parameters like cutting speed, jet lag, and taper, allowing for continuous improvement with additional data inputs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If conventional modeling techniques are used for beam cutting applications, then the cutting process can be performed with established methods, but the tool path optimization is limited and requires extensive manual trial and error
Solution Approach 1:
The patent replaces manual mechanical trial-and-error modeling with an automated computer-based system that uses machine learning algorithms and statistical models to generate optimized tool paths, eliminating the need for physical experimentation and manual parameter adjustment
Solution Approach 2:
The system performs self-optimization by automatically analyzing cutting parameters, workpiece geometry, and material properties to generate optimal tool paths without requiring external manual intervention or expert knowledge, making the complex modeling process autonomous
2Productivity
If conventional modeling techniques are used, then the system structure remains simple, but extensive computing resources are consumed and compilation time is excessive
Solution Approach 1:
The system pre-processes and analyzes workpiece geometry, material properties, and cutting parameters before actual cutting begins, generating optimized tool paths in advance to eliminate time losses during the actual manufacturing process
Solution Approach 2:
The system dynamically adjusts cutting parameters such as speed, feed rate, and beam power based on real-time conditions and pre-calculated optimization models, allowing for faster compilation and execution without sacrificing quality
3Manufacturing precision
If conventional modeling techniques are used, then the approach is straightforward, but the results are inferior due to narrow focus and fixed parameters
Solution Approach 1:
The system transitions from static fixed parameters to dynamic adaptive parameters that automatically adjust based on workpiece geometry, material properties, and cutting conditions, enabling the model to adapt to varying requirements and achieve higher precision across different applications
Solution Approach 2:
The patent creates a universal modeling system that can handle multiple cutting applications, materials, and geometries through a single integrated platform, replacing the need for separate conventional models for each specific case and improving overall 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
This approach enables high-confidence tool path generation with reduced computing resources, quick compilation of tool paths, and improved result quality, allowing for efficient and adaptable cutting processes across various materials and geometries.
Implementation Method 1
During operation, waterjet cutting systems typically direct a high-velocity jet of fluid (e.g., water) toward a workpiece to rapidly erode portions of the workpiece. Depending upon the resistance to the cutting process of a particular target workpiece material, abrasive material can be added to the fluid to enable and/or to increase the rate of erosion.
Implementation Method 2
beam cutters, a beam, employing plasma, waterjet, torch (such as oxyacetylene), or laser, as examples, and operating along a defined tool path, either erodes (waterjet or abrasive-jet) or melts (laser, plasma, or torch) a workpiece
Implementation Method 3
beam cutters, a beam, employing plasma, waterjet, torch (such as oxyacetylene), or laser, as examples, and operating along a defined tool path, either erodes (waterjet or abrasive-jet) or melts (laser, plasma, or torch) a workpiece
Data Source
AI summary
A facility for automated modelling of the cutting process for a particular material to be cut by a beam cutting tool, such as a waterjet cutting system, from empirical data to predict aspects of the waterjet's effect on the workpiece across a range of material thicknesses, across a range of cutting geometries, and across a range of cutting quality levels, all of which may be broader than, and independent of the actual requirements for a target workpiece, is described.