Indenting Material Testing with Adaptive Turbulence Noise Filtering
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Solution Overview
Problem
Portable micro hardness meters face challenges in accurately measuring material hardness due to turbulence from varying host site environments, as existing noise removal methods are ineffective without a pre-selected filter characteristic that matches the site's noise profile.
Innovation Solution
An indenting type material testing machine that calculates and stores filter characteristics based on displacement detection signals to remove turbulence components, allowing for real-time filtering of noise in the displacement detection signal, enabling accurate material evaluation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If pre-set filter characteristics are used to remove turbulence noise, then noise removal capability is improved, but adaptability to different host sites deteriorates
Solution Approach 1:
The patent changes the filter characteristics dynamically based on the detected turbulence frequency at each host site. Instead of using fixed pre-set filter parameters, the system adjusts the filter frequency parameter according to the actual turbulence conditions detected by the frequency detection means, thereby achieving both effective noise removal and adaptability to different environments.
2Loss of time
If filter characteristics are calculated in no-load state, then filtering preparation time is improved, but measurement accuracy under load deteriorates
Solution Approach 1:
The patent performs preliminary frequency detection and filter characteristic calculation in the no-load state before actual measurement begins. This preliminary action prepares the appropriate filter settings in advance, reducing the time loss during actual measurement while ensuring the filter is optimized for the current environmental conditions.
Solution Approach 2:
The system uses frequency detection means to continuously monitor turbulence frequency and provides feedback to adjust filter characteristics. This feedback mechanism ensures that the filter remains optimized for current conditions, maintaining measurement accuracy even when transitioning from no-load to loaded state.
3Measurement precision
If filter characteristics are calculated in loaded state, then measurement accuracy is improved, but testing time deteriorates
Solution Approach 1:
The patent performs the time-consuming frequency detection and filter calculation operations in the no-load state as a preliminary action before actual measurement begins. This allows the system to prepare optimized filter settings without extending the actual measurement time, thereby improving productivity while maintaining accuracy.
Data Source
AI summary
An indenter is pressed onto a test piece; a displacement of the indenter is detected; and a testing force applied to the test piece through the indenter is detected. FFT analysis is performed on a displacement detection signal detected in a non-load state to detect a frequency band of noise. Filter characteristics are calculated based on the detected frequency band, and filtering is performed on the displacement detection signal based on the filter characteristics. Physical properties of the test piece are evaluated based upon the displacement detection signal after the filtering and the testing force.