Coordinate Measuring Machine Parameter Optimization
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Solution Overview
Problem
The measurement process for coordinate measuring machines is often determined based on empirical values, leading to subjective influence and time-consuming iterative adjustments, which can result in inaccurate and unreliable measurement results, especially when measuring multiple workpieces of the same type.
Innovation Solution
A method that automatically identifies critical areas on workpieces and adapts measurement strategies by determining and setting measurement parameters using a control device, allowing for objective and precise adjustments to improve measurement quality and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If measurement parameters are determined based on empirical values and operator experience, then the measurement process can be initiated, but the measurement accuracy and reliability deteriorate due to subjective influence and iterative adjustments
Solution Approach 1:
The system automatically determines measurement parameters by analyzing measurement results from multiple workpieces and identifying critical areas, eliminating the need for operator experience and subjective judgment. The coordinate measuring machine performs self-optimization of measurement strategies based on accumulated measurement data.
Solution Approach 2:
The system uses feedback from measurement results to continuously improve measurement parameters. By analyzing measurement data from multiple workpieces and identifying areas with poor reproducibility, the system automatically adjusts measurement parameters for subsequent measurements, creating a closed-loop optimization process.
2Measurement precision
If manual iterative adjustment of measurement strategy is performed, then measurement accuracy can be improved, but the time required for the measurement process increases significantly
Solution Approach 1:
The system performs preliminary analysis of measurement results from multiple workpieces to identify critical areas before final measurement. By pre-determining which areas require enhanced measurement based on reproducibility analysis, the system eliminates the need for time-consuming iterative adjustments during the measurement process.
Solution Approach 2:
The system automatically optimizes measurement parameters without requiring manual iterative adjustment. The coordinate measuring machine analyzes measurement data, identifies critical areas, and self-adjusts measurement strategies, eliminating the time loss associated with manual optimization.
3Productivity
If uniform measurement parameters are applied to all workpiece areas, then the measurement process is simplified, but measurement quality deteriorates in critical areas with poor reproducibility
Solution Approach 1:
The system applies different measurement parameters to different workpiece areas based on their specific requirements. By identifying critical areas with poor reproducibility through analysis of measurement results from multiple workpieces, the system enhances measurement quality in those specific areas while maintaining efficient measurement in non-critical areas.
Solution Approach 2:
The system dynamically changes measurement parameters based on the identified needs of different workpiece areas. Measurement parameters such as sampling density, scan speed, or probe contact force are adjusted locally for critical areas to improve reproducibility, while standard parameters are maintained for non-critical areas.
4Reliability
If measurement strategy is not optimized, then the measurement process is fast and simple, but the reproducibility of measurement results deteriorates
Solution Approach 1:
The system uses feedback from measurement results to automatically optimize measurement strategies. By analyzing reproducibility of measurements across multiple workpieces, the system identifies critical areas and automatically adjusts measurement parameters, improving reliability without requiring complex manual strategy design.
Solution Approach 2:
The coordinate measuring machine performs self-optimization of measurement strategies by analyzing measurement data and automatically determining appropriate parameters for different workpiece areas. This self-service capability improves measurement reproducibility without requiring the operator to design complex measurement strategies.
Data Source
Figure 1
Figure 2a)~3b)
AI summary
The invention relates to a method for determining measurement parameters for a coordinate measuring machine (12), comprising: - obtaining a plurality of measurement results obtained by real or simulated measurement of a plurality of identical workpieces (20); - determining at least one critical area (26) of the workpieces (20) for measurement based on the measurement results; and - determining at least one measurement parameter of the coordinate measuring machine (12) for measuring the critical area (26). The invention further relates to an arrangement (10) for workpiece measurement, comprising a coordinate measuring machine (12) and a control device, wherein the control device is configured to execute a method according to any one of the preceding claims.