Spatial Error Map for Coordinate Positioning Machine
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Solution Overview
Problem
Interpreting and making informed decisions from sensor error data in coordinate positioning machines, particularly with multiple degrees of freedom, is challenging for machine operators due to complex error plots and the need to understand and compensate for various sources of error.
Innovation Solution
Generating a spatial error map that represents multiple sources of error using a single, graphical representation such as a cuboid or square, allowing for real-time visualization and identification of trends and patterns, enabling operators to control the machine more effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensor error data from multiple degrees of freedom is collected and analyzed, then measurement precision is improved, but device complexity increases due to multiple error sources
Solution Approach 1:
The patent segments the complex error data from multiple degrees of freedom into separate, manageable components. Each degree of freedom (linear and rotational errors) is analyzed and compensated independently, then combined to achieve overall positioning accuracy without overwhelming the operator with a single complex error dataset.
Solution Approach 2:
The patent transforms multi-dimensional error data (from multiple degrees of freedom) into a unified spatial error map that represents all errors in a single visual dimension. This allows operators to comprehend and compensate for complex errors without directly interpreting the underlying multi-dimensional complexity.
2Measurement precision
If detailed error data from multiple sources is provided to operators, then measurement precision is improved, but ease of operation deteriorates due to difficulty in interpretation
Solution Approach 1:
The patent introduces an intermediary processing system that automatically analyzes, synthesizes, and visualizes error data from multiple degrees of freedom. This intermediary translates complex raw error data into an intuitive spatial error map, allowing operators to make informed compensation decisions without directly interpreting the underlying complexity.
Solution Approach 2:
The patent creates a simplified graphical copy (spatial error map) that represents the complex error data in an accessible format. This visual copy preserves the essential error information needed for compensation while eliminating the interpretive complexity of the original multi-source error data.
3Manufacturing precision
If comprehensive error analysis is performed, then manufacturing precision is improved, but loss of time increases due to complex data processing
Solution Approach 1:
The patent performs comprehensive error analysis in advance during the machine calibration phase, storing the results in a spatial error map. This preliminary action allows rapid error compensation during actual manufacturing operations without requiring time-consuming real-time analysis, thus maintaining manufacturing precision while reducing operational time loss.
Data Source
AI summary
A method of generating a spatial map of sensor error data from a coordinate positioning machine including: receiving measurement data collected by measuring or tracking an artefact as it is moved by the machine along at least one machine axis; deriving error data by comparing the received measurement data with expected or ideal values for the measurement data; and generating a spatial error map from the error data, with each cell including an error representation derived from multiple sources of error within the error data.