Circular Shape Characteristic Measurement Parameter Optimization
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Solution Overview
Problem
Operators at measuring sites face challenges in setting appropriate parameters for measuring circular shape characteristics like roundness and cylindricity, leading to inaccurate measurements due to limitations in experience and time, resulting in inefficient computation and suboptimal results.
Innovation Solution
A method and device that calculate circular shape characteristics by applying a rolling circle process and filtering process to measured data, using a parameter table to determine optimal parameters such as cutoff value, minimum number of samples, and radius ratio, allowing for high-accuracy measurements without increasing the operator's burden.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If parameters for circular shape characteristic measurement are set by operator experience, then measurement can be performed, but measurement accuracy deteriorates due to inappropriate parameter selection
Solution Approach 1:
The system automatically determines optimal parameters (cutoff value, minimum number of samples, d/r ratio) based on measured data characteristics without requiring operator expertise. The parameter determination unit self-adjusts settings by analyzing the measured data and referencing stored parameter relationships, enabling the system to serve itself in optimizing measurement conditions.
Solution Approach 2:
The system dynamically changes measurement parameters based on the actual measured data. By analyzing the relationship between cutoff value, number of samples, and d/r ratio, the system adjusts parameters to match the specific measurement conditions and data characteristics, thereby optimizing measurement accuracy for each case.
2Measurement precision
If appropriate parameters are set for high accuracy measurement, then measurement precision improves, but computation time increases due to larger number of samples
Solution Approach 1:
The system optimizes the balance between measurement precision and computation time by dynamically adjusting the number of samples based on the d/r ratio and cutoff value. The parameter determination unit calculates optimal parameter combinations that achieve required accuracy while minimizing computation time through efficient parameter selection.
Solution Approach 2:
The system determines the minimum necessary number of samples required to achieve accurate measurement rather than using excessive samples. By calculating the optimal sample count based on measurement conditions, the system performs just enough sampling to achieve high accuracy without unnecessary computational overhead.
3Measurement precision
If high density constant pitch sampling is performed to detect small unevenness, then surface roughness measurement resolution improves, but noise from very small surface roughness increases circular shape characteristic measurement error
Solution Approach 1:
The system applies different processing approaches to different frequency components of the measured data. By using the rolling circle process with optimally determined parameters, the system selectively processes high-frequency noise components while preserving the lower-frequency circular shape characteristic signals, achieving local optimization of signal quality.
Solution Approach 2:
The system extracts the circular shape characteristic information from the measured data by applying the rolling circle process and filtering. This process separates the desired circular shape measurements from the harmful high-frequency noise caused by surface roughness, extracting only the relevant measurement information.
Data Source
AI summary
A circular shape characteristic measuring device includes a shape measuring device that obtains measured data by measuring a profile shape of a circular cross-section of an object to be measured having the circular cross-section, and a computation device that calculates a circular shape characteristic of the circular cross-section. The computation device includes: an input device configured to input one of three parameters including a cutoff value of the filtering process, a minimum number of samples, and a ratio of a radius of the circular cross-section to a radius of a gauge head; a parameter table that stores a relationship between the three parameters, and based on the input parameter, determines the other two parameters; and a sampler configured to perform sampling of the measured data based on the minimum number of samples.