Laser Machining Parameter Optimization System
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Solution Overview
Problem
The existing methods for optimizing machining parameters and control parameters in laser machining processes are time-consuming and lack standardization, requiring separate control programs for each material and task, which complicates the process and increases documentation needs.
Innovation Solution
A support system that includes an input function for specifying process variables and target variables, a limit value function for setting parameter limits, a test planning function for statistical variation of parameters, a test execution and evaluation function, a modeling function for regression analysis, and an optimization function to determine optimized parameters, integrated into the laser processing machine for efficient parameter optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If separate control programs are created for each material and task by machine operators, then the processing parameters can be optimized for specific materials, but the process becomes very time-consuming and requires great documentation
Solution Approach 1:
The system enables self-service by automatically generating optimized control programs through the determination unit, which processes material properties and task parameters to produce ready-to-use processing parameters without requiring manual operator intervention for each material type
Solution Approach 2:
The system changes parameters by automatically adjusting processing parameters based on material properties and task requirements, using the determination unit to calculate optimal values for laser power, speed, and other parameters rather than relying on operator experience
2Stability of the object's composition
If uniform procedure is ensured by documentation and information, then different operators can follow the same process, but the complexity and documentation needs increase greatly
Solution Approach 1:
The system replaces the mechanical/documentation-based approach with an automated determination unit that calculates and generates control programs, substituting manual procedures and documentation with an automated computational system
Solution Approach 2:
The system uses feedback by automatically determining optimal parameters based on material properties and task parameters, creating a closed-loop system where the determination unit continuously processes input data to generate optimized control programs
3Reliability
If test series are conducted to determine processing parameters, then suitable parameters can be found for given processing processes, but the number of tests required is large and time-consuming
Solution Approach 1:
The system performs preliminary action by pre-calculating optimal processing parameters using the determination unit before actual production, based on material properties and task parameters, so that when processing begins, the parameters are already optimized without requiring extensive test series
Data Source
AI summary
The support system (1) comprises an entry function (EF) for determining a process variable (P1,P2) and a target variable (Z1,Z2) by an operator (B). The process variable is the characteristic of a laser machining process. A threshold function (GF) determines thresholds value (GW) for a processing parameter (BP1,BP2) or a regulating parameter (RP1,RP2) depending on the process variable. A test planning function (PF) determines a test plan processing test with a statistical variation of the processing parameter or the regulating parameter in the determined thresholds. Independent claims are included for the following: (1) a controlling method for optimizing processing parameters or regulating parameters of a laser machining process, particularly a laser cutting process; and (2) a computer program product with a coding unit.