Laser Machining Parameter Classification System
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Solution Overview
Problem
Current laser processing systems require extensive expertise and are time-consuming due to numerous process parameters, leading to incorrect settings and suboptimal results, especially when handling diverse applications and unforeseen situations.
Innovation Solution
A classification system that automates the configuration of process parameters by assigning related parameters to specific laser processing operations, with primary parameters defined by the operator or sensor data, and secondary parameters adjusted automatically based on stored rules, simplifying the operation and ensuring optimal settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If the operator manually configures all process parameters for laser processing, then processing quality can be optimized, but the time required for configuration increases significantly and expert knowledge is required
Solution Approach 1:
The patent segments process parameters into two categories: primary parameters (directly affecting processing quality) and secondary parameters (dependent on primary parameters). This segmentation allows the operator to only configure primary parameters manually, while secondary parameters are automatically determined based on stored rules and relationships, thereby reducing configuration time while maintaining processing quality.
Solution Approach 2:
The system performs preliminary action by pre-storing rules and relationships between primary and secondary parameters in a database. When the operator configures a primary parameter, the system automatically retrieves and applies the appropriate rules to determine secondary parameters, eliminating the need for manual configuration of all parameters and reducing configuration time.
2Ease of operation
If the operator manually configures all process parameters, then flexibility in adjusting parameters is maintained, but incorrect settings due to parameter mix-ups cannot be ruled out
Solution Approach 1:
The system implements feedback by automatically checking the plausibility of configured parameters against stored rules and relationships. When the operator configures a primary parameter, the system verifies whether the resulting secondary parameters are consistent with established processing knowledge, providing immediate feedback to prevent incorrect settings while maintaining operational flexibility.
Solution Approach 2:
The system performs self-service by automatically detecting and correcting inconsistent parameter configurations. The embedded rules engine continuously monitors parameter relationships and automatically adjusts secondary parameters to maintain consistency, reducing the risk of incorrect settings without restricting operator flexibility in configuring primary parameters.
3Adaptability or versatility
If all process parameters are configured manually, then individual optimization is possible, but the system cannot adapt to changing conditions such as optics contamination or component wear
Solution Approach 1:
The system implements dynamics by making the parameter configuration process adaptive rather than static. The embedded rules engine continuously monitors processing conditions and automatically adjusts secondary parameters in response to changing conditions such as optics contamination or component wear, while still allowing operators to individually optimize primary parameters based on specific application requirements.
Data Source
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AI summary
Methods for configuring laser machining machines (1) include control (2), whereby different types laser machining processes (A, B, C, D) can be executed using the laser machine (1), these processes being respectively controlled by the control apparatus (2) using process parameters. The processes of different types are categorized in a classification (20), in which a respective set of process parameters (21A-24A; 21B-24B; 21C-24C; 22D-24D), that are used during the execution of the respective process (A, B, C, D), is assigned to each process. During a determination and/or changing of a first process parameter (21A-24A) of a first process (A), a process parameter (S1-S6; 21B-24B; 21C-24C; 22D-24D) of a different process (B, C, D) that is contained within classification (20), is automatically determined and/or changed according to a stored rule, as a function of the first process parameter.