Tolerance Detection for Complex Shapes via Partial Data Merging
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Solution Overview
Problem
Existing shape measuring apparatuses, such as circularity measuring devices, face difficulties in performing continued measurements on objects with complicated shapes, requiring divisional measurements which are time-consuming and prone to detector damage.
Innovation Solution
A method and device that retrieve multiple partial measurement data, set a reference position, combine these data sets, and calculate tolerance using the combined data, allowing for a single calculation operation to determine the geometric tolerance of complex shapes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If divisional measurements are performed on objects with complicated shapes, then the risk of detector damage is reduced, but the measurement time increases and multiple calculations are required
Solution Approach 1:
The patent combines multiple partial measurement data sets into a single integrated data set through coordinate transformation and merging processes. This allows the system to process complicated shaped objects using one unified calculation operation rather than requiring separate calculations for each partial measurement, thereby reducing measurement time while maintaining detector safety through the partial measurement approach
2Reliability
If divisional measurements are performed on objects with complicated shapes, then the risk of detector damage is reduced, but the calculation complexity increases
Solution Approach 1:
The patent applies preliminary coordinate transformation to each partial measurement data set before merging them. By pre-processing the coordinate systems and transforming them to a common reference frame beforehand, the system simplifies the subsequent merging and calculation processes, reducing overall calculation complexity while maintaining the benefits of partial measurements for detector safety
3Loss of time
If continued measurement is performed on objects with complicated shapes, then measurement time is reduced, but the risk of detector damage increases
Solution Approach 1:
The patent segments the measurement process into multiple partial measurements around the object's circumference, strategically positioning measurement sections to avoid protrusions and cut-out portions that could damage the detector. This segmentation allows for faster measurement compared to traditional methods while protecting the detector from physical damage by avoiding problematic geometric features
4Reliability
If multiple partial measurement data are obtained, then detector safety is improved, but the data processing complexity increases
Solution Approach 1:
The patent performs preliminary coordinate transformations and data preprocessing on each partial measurement data set before merging. This pre-processing includes transforming coordinates to a common reference system and preparing data structures that facilitate efficient merging, thereby reducing the complexity of subsequent data processing operations while maintaining the safety benefits of multiple partial measurements
Data Source
AI summary
When detecting a tolerance of a shape of a measured object having a complicated shape that makes it difficult to perform a continued measurement, a plurality of partial measurement data that are set are retrieved. Next, a reference position is set from first partial measurement data. Then, each of the partial measurement data is combined into one data using the reference position. Further, the tolerance is calculated using the combined data.