Processing Machine Quality Mapping for Position-Dependent Faults
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Solution Overview
Problem
Existing processing machines, such as 2D laser cutting machines, face direction-dependent and position-dependent faults that affect process quality, which are not addressed by current methods that focus on geometry, type of process, or processing parameters.
Innovation Solution
A method that determines position-dependent and direction-dependent parameters for process quality by analyzing a plurality of measured values at specific processing positions or directions, allowing for the identification and elimination of faults through statistical analysis and continuous monitoring, enabling optimal process planning and machine optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If conventional processing methods are used without position and direction analysis, then the processing can be performed with simple methods, but direction-dependent and position-dependent faults affect process quality
Solution Approach 1:
The patent segments the processing space into discrete positions and directions, analyzing process quality parameters at each segment. This allows identification of position-dependent and direction-dependent faults by dividing the continuous processing space into manageable measurement points, enabling targeted quality control without requiring complex global analysis.
Solution Approach 2:
The patent introduces spatial dimensions (position and direction) as additional analysis parameters beyond traditional process parameters. By adding these dimensional parameters to the quality analysis, the system can identify faults that vary with position and direction, transforming a one-dimensional parameter analysis into a multi-dimensional quality assessment.
2Measurement precision
If multiple measured values are collected and analyzed statistically, then position-dependent and direction-dependent parameters can be determined, but the measurement and analysis time increases
Solution Approach 1:
The patent performs preliminary statistical analysis by collecting multiple measured values at each position and direction before final evaluation. This preliminary data collection and statistical processing enables more accurate determination of position-dependent and direction-dependent parameters, reducing the need for repeated measurements and overall analysis time.
Solution Approach 2:
The patent changes the parameters being measured from simple process parameters to position-dependent and direction-dependent quality parameters. By transforming the measurement parameters to include spatial dependencies, the system achieves higher measurement precision for fault identification while managing analysis time through focused parameter selection.
3Reliability
If continuous monitoring and statistical analysis are performed, then faults can be recognized and mitigated, but the complexity of the monitoring system increases
Solution Approach 1:
The patent implements continuous monitoring with feedback loops that compare measured process quality parameters against expected values at each position and direction. This feedback mechanism enables real-time fault recognition and mitigation by automatically adjusting processing parameters or alerting operators when deviations are detected, enhancing reliability through systematic monitoring.
Solution Approach 2:
The monitoring system performs self-diagnosis by automatically analyzing the collected data to identify position-dependent and direction-dependent faults without requiring external intervention. The system serves itself by autonomously detecting patterns, comparing measurements, and determining when faults are present, reducing the operational complexity despite the sophisticated monitoring capabilities.
Data Source
AI summary
A method determines at least one parameter for a process quality during a processing process. The method includes: processing a workpiece while moving a processing tool and the workpiece relative to one another; monitoring a region on the workpiece; determining the at least one parameter for the process quality based on the monitored region; and determining at least one position-dependent parameter for the process quality based on a plurality of measured values of the at least one parameter at a same processing position, or determining at least one direction-dependent parameter for the process quality based on the plurality of measured values of the at least one parameter in a same processing direction.