Bearing Load Sensing with Remote Temperature Compensation
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Solution Overview
Problem
Existing load sensing arrangements for bearings face inaccuracies due to temperature fluctuations, requiring temperature sensors or dummy gauges to compensate for thermal expansion, which can be impractical in high-temperature environments and complex processes.
Innovation Solution
A load sensing arrangement using strain gauges with remote temperature sensors or process parameter data to determine temperature influence, eliminating the need for on-site temperature measurement, and employing a temperature compensation algorithm to adjust strain gauge readings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If temperature sensors or dummy gauges are placed at the strain gauge location to compensate for thermal expansion, then measurement accuracy is improved, but device complexity and installation difficulty increase
Solution Approach 1:
The invention extracts the temperature measurement function from the strain gauge location and places temperature sensors at remote locations instead. This separates the temperature sensing function from the load sensing function, eliminating the need for complex on-site temperature compensation apparatus while maintaining measurement accuracy through remote temperature data collection and computational compensation
Solution Approach 2:
The invention introduces computational algorithms as an intermediary between remote temperature sensors and strain gauge readings. The processor uses the remote temperature data to calculate thermal expansion effects and compensates for them in the load measurements, serving as a mediator that translates temperature information into compensation corrections without requiring physical proximity
2Measurement precision
If temperature sensors are installed at the strain gauge location, then temperature compensation accuracy is improved, but ease of operation and installation are worsened
Solution Approach 1:
The invention removes the temperature sensor installation requirement from the constrained strain gauge location and relocates it to accessible remote positions. This extraction allows temperature sensors to be installed in easily accessible locations while the strain gauges remain in their original positions, significantly improving installation ease without compromising compensation accuracy
Solution Approach 2:
The invention replaces the mechanical requirement of co-locating temperature and strain sensors with a computational system. Instead of relying on physical proximity for temperature compensation, the system uses processors and algorithms to calculate thermal effects based on remote temperature readings, substituting mechanical arrangement constraints with computational processing
3Measurement precision
If multiple sensors are placed at the same location for temperature and load measurement, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The invention segments the sensing functions by separating temperature measurement from load measurement in terms of physical location. Temperature sensors are placed at remote locations while strain gauges remain at the bearing location, dividing the sensing system into spatially separated functional modules that can be installed and maintained independently, reducing overall system complexity
Solution Approach 2:
The processor serves multiple functions by handling both the acquisition of remote temperature data and the processing of strain gauge measurements. It performs temperature compensation calculations and generates corrected load readings, making a single component (the processor) multi-functional and reducing the need for separate dedicated hardware for each function
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enhances measurement accuracy by reducing the impact of temperature fluctuations, allowing for precise load monitoring and optimization in high-temperature applications without the need for additional temperature measurement equipment.
Implementation Method 1
As the bearing is deformed, the metallic foil is deformed, causing its electrical resistance to change
Implementation Method 2
This change in electrical resistance, which is usually measured using a Wheatstone bridge
Implementation Method 3
If a bearing is subjected to variations in temperature or a temperature gradient during its use, thermal expansion will cause the bearing to change in size
Data Source
Figure 1~3
Figure 4~5
AI summary
Load sensing arrangement comprising at least one strain gauge (30) at a strain gauge location (34), the at least one strain gauge (30) being configured to measure the load on a bearing component (26), whereby said load sensing arrangement comprises temperature compensation means (32) arranged to compensate for the influence of temperature on measurements made by said at least one strain gauge (30). The temperature compensation means (32) is configured to receive data and determine a variable indicative of the influence of said data on measurements made by said at least one strain gauge (30).