Texture Analyzer Deflection Compensation and Noise Filtering
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Solution Overview
Problem
Existing texture analyzers fail to accurately compensate for the deflection of load cell modules and support structures, leading to suboptimal measurement results, and struggle to maintain consistent load control across varying sample stiffness, especially during deformation.
Innovation Solution
The texture analyzer incorporates deflection compensation for both the load cell and support structures, using calibrated equations to correct for total deflection, and applies an adjustable single-tap infinite impulse response filter to reduce signal noise, while characterizing sample compliance in real-time to control load application.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If deflection compensation is implemented for load cell and support structures, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent applies preliminary action by pre-calibrating deflection compensation parameters for different load cell modules and support structures before actual measurement. The system stores calibration data and automatically retrieves appropriate compensation values during measurement, eliminating the need for complex real-time calculations and reducing device complexity while maintaining high measurement precision.
Solution Approach 2:
The patent introduces an intermediary computational layer that processes raw measurement data and applies deflection compensation based on pre-stored calibration parameters. This intermediary processing step separates the complexity of deflection compensation from the core measurement function, allowing the system to achieve high measurement accuracy without significantly increasing overall device complexity.
2Adaptability or versatility
If load control is maintained across varying sample stiffness, then adaptability is improved, but stability of load control deteriorates
Solution Approach 1:
The patent applies dynamics by implementing real-time adaptation of measurement parameters based on detected sample stiffness characteristics. The system continuously monitors sample response during compression and dynamically adjusts loading parameters to maintain optimal control across different stiffness levels, achieving both adaptability and stability through continuous dynamic adjustment rather than fixed parameters.
Solution Approach 2:
The patent employs feedback mechanisms where the system continuously monitors the sample's mechanical response during compression and uses this information to adjust subsequent loading parameters. This closed-loop feedback enables the system to adapt to varying sample stiffness while maintaining stable load control by correcting deviations in real-time based on actual sample behavior.
3Measurement precision
If signal noise is reduced using filtering, then measurement precision is improved, but loss of information increases
Solution Approach 1:
The patent applies local quality by implementing selective filtering that targets specific frequency ranges where noise predominates while preserving frequency components containing meaningful sample information. The system uses different filtering strategies for different parts of the signal spectrum, applying stronger filtering to high-frequency noise while maintaining fidelity of lower-frequency mechanical response data, thus improving signal quality without excessive information loss.
Data Source
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AI summary
A texture analyzer having a support structure including a base plate, a carriage support, and a moveable carriage that receives a load cell module; a fixture to receive a sample between the base plate and the load cell module; a memory storing support structure and load cell module deflection parameters; and a processor. The processor is configured to identify the load cell module, retrieve the support structure deflection parameters and one of multiple load cell module deflection parameters, obtain raw measurement signals from the load cell module, and refine the raw measurement signals to compensate for deflection in the load cell module using the retrieved load cell module deflection parameters and support structure deflection parameters.