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Tension load cells are critical for measuring pulling forces in various applications.
Here at Morehouse, we calibrate many tension load cells from various capacities.
One of the more essential aspects of these calibrations is ensuring the appropriate adapters are used.
Our e-book and other documents speak to the importance of adapters.
After we have all agreed on the proper method for calibration and the adapters used for calibration, it's essential to understand the equations used to characterize their behavior.
This is a basic understanding of the tension load cell equations and how they are used to translate the load cell output into precise force measurements.
The Basics of Load Cell Output
At its core, a tension load cell converts mechanical force into an electrical signal.
As the load cell is stretched, strain gauges inside the device experience a change in resistance.
This change is typically measured as a voltage output, often expressed in millivolts per volt (mV/V).
Tension Load Cell Equation - Linear Approximation
The simplest way to relate a load cell's output to the applied force is through a linear equation:
Force = m * Response + b
Where:
This linear approximation works well for many applications, primarily when the load cell is used within a narrow range or where the device may not need to be better than 0.2 % of the full-scale output of the load cell.
When one wants to maximize the performance of their load cell, these slight nonlinearities will not best characterize the performance, and more complex equations will often be needed for better than 0.2 % of full-scale.
Note: We are presenting this in general terms as some load cells can be very linear where the linear equation can be used.
Tension Load Cell Equation - Polynomial Equations for Increased Accuracy
To account for nonlinearities, calibration labs may report polynomial equations to characterize load cells.
ASTM E74 and ISO 376 standards have specific criteria for generating these polynomial equations.
A common form is:
Response = A₀ + A₁ * Force + A₂ * Force² + A₃ * Force³
Where A₀, A₁, A₂, and A₃ are coefficients determined during calibration.
This equation allows us to predict the load cell's response at any given force within its calibrated range. To solve for force when given a response, we can use the inverse equation:
Force = B₀ + B₁ * Response + B₂ * Response² + B₃ * Response³
The coefficients (B₀, B₁, B₂, B₃) are different from the A coefficients and are calculated to minimize errors when converting from response to force.
The Significance of Coefficients
Each coefficient in these polynomial equations serves a specific purpose:
Figure 1 2nd degree Polynomial Tension Load Cell Equation
Higher-order terms (4th or 5th degree) may be used to characterize high-resolution load cells precisely.
These terms have been discussed in our e-book, and the ISO 376 standard limits the use of a polynomial equation to 3rd order.
Tension Load Cell Equation - Practical Application
When calibration is performed following ASTM E74 or ISO 376, you will receive a calibration certificate with these coefficients when using a calibrated tension load cell.
To determine the force for a given output:
Conversely, if you need to know what output to expect for a target force, use the Response equation with the A coefficients.
Tension Load Cell Equation - Conclusion
In conclusion, understanding tension load cell equations can help you better characterize your load cells, which can lower the overall uncertainty of the measurements you make.
This lower measurement uncertainty will improve the accuracy of your measurements.
These tension load cell equations, whether linear or polynomial, play a pivotal role in translating the electrical output of a load cell into precise forces.
The linear approximation provides a straightforward method for many applications, while polynomial equations offer increased accuracy by accounting for nonlinearities inherent in load cell behavior.
Calibration labs adhering to calibration standards such as ASTM E74 or ISO 376, which define the use of these equations, will often better characterize the load cell's expected performance, allowing you to have more confidence in the performance of your load cells.
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