Articulated Arm CMM Statistical Error Compensation
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Solution Overview
Problem
Coordinate measuring machines, particularly articulated arm systems, face challenges in achieving high accuracy and reliability due to friction-related measuring errors such as the slip-stick effect and sagging of connecting elements, which are not adequately addressed by existing methods that rely on single measurements or additional control measurements.
Innovation Solution
The method involves recording a multiplicity of measurements in different settings while maintaining the probe element in a fixed position, using statistical evaluation to compensate for measurement inaccuracies and errors, thereby improving the accuracy and reliability of determining the measuring point position without the need for hardware modifications or additional control measurements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single measurement is performed at each measuring point, then the measurement process is fast and simple, but the accuracy and reliability are insufficient due to friction errors and slip-stick effects
Solution Approach 1:
The patent applies periodic action by performing multiple measurements at each measuring point in rapid succession rather than a single measurement. The measuring machine is moved back to the same measuring point repeatedly to acquire multiple measurement values, which are then statistically evaluated to determine the final position. This periodic measurement approach compensates for friction errors and slip-stick effects that occur in single measurements, thereby improving accuracy without requiring excessive time.
Solution Approach 2:
The patent implements continuity of useful action by maintaining the measurement process as a continuous operation. The measuring machine moves through measuring points and returns to previously measured points without interruption, continuously acquiring measurement data. This continuous measurement approach allows for statistical evaluation of multiple measurements at each point, improving reliability while maintaining measurement efficiency.
2Reliability
If additional control measurements are performed to verify measuring point positions, then reliability improves, but the measurement process becomes more complex and time-consuming
Solution Approach 1:
The patent merges the measurement and verification functions into a single integrated process. Instead of performing separate control measurements to verify positions, the system acquires multiple measurement values at each measuring point during the normal measurement process and uses statistical evaluation to determine the final position. This combining of measurement and verification eliminates the need for additional control measurements and reduces process complexity while maintaining high reliability.
Solution Approach 2:
The measurement system performs self-verification through statistical evaluation of multiple measurements. The system automatically identifies and compensates for measurement errors by analyzing the distribution of multiple measurement values, determining the most probable position without requiring external verification or additional control measurements. This self-service approach improves reliability while keeping the measurement process simple.
3Measurement precision
If multiple measurements are taken at each measuring point to compensate for errors, then accuracy improves, but the measurement process becomes more complex
Solution Approach 1:
The patent implements feedback through statistical evaluation of multiple measurement values. The system continuously compares multiple measurements at each point, uses statistical methods to identify and compensate for errors, and determines the final position based on the most probable value. This feedback mechanism automatically corrects for friction errors and slip-stick effects, improving accuracy without requiring complex manual intervention or additional hardware.
Solution Approach 2:
The measurement system performs self-correction through statistical evaluation. By automatically analyzing multiple measurement values and identifying the most probable position, the system compensates for its own measurement errors without requiring external verification or complex control procedures. This self-service approach simplifies the measurement process while maintaining high accuracy.
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 significantly enhances the accuracy and reliability of measuring point position determination by averaging out measurement errors, allowing for precise calculation of the targeted position through statistical compensation, reducing the risk of measuring errors caused by friction and sagging.
Implementation Method 1
optoelectronic position transducers that are designed to determine a relative position of members connected by means of a spherical joint
Data Source
AI summary
A measuring method for determining a measurement position of a probe element 6 can include using a coordinate measuring machine 1 having a base and members that can be moved relative to the base and relative to each other, wherein one of the members, as the probe member TG, comprises a probe element 6, so that the probe element 6 can move freely within a prescribed volume of space, wherein the measurement position is captured by the probe element 6, a measurement variable set is taken by measuring measurement variables linked to a measurement position of the members, wherein the measurement position is determined by a relative location of the members to each other and of at least one of the members to the base, and the measurement position is determined relative to the base.