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Software for correcting the dynamic error of force transducers.

Naoki Miyashita¹, Kazuhide Watanabe², Kyouhei Irisa³

¹Education Program of Electronics and Informatics, Mathematics and Physics, Graduate School of Science and Technology, Gunma University, 1-5-1 Tenjin-cho, Kiryu, Gunma 376-8515, Japan. t10306070@gunma-u.ac.jp.

Sensors (Basel, Switzerland)

|July 9, 2014

Summary

A new software corrects dynamic errors in force transducer impact measurements using the transducer's own signal. This method enhances accuracy and quantifies uncertainty for reliable impact force data.

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Area of Science:

Mechanical Engineering
Metrology
Signal Processing

Background:

Dynamic errors in force transducers affect impact measurement accuracy.
Accurate impact force measurement is crucial in various engineering applications.
Existing methods for dynamic error correction can be complex or require external calibration.

Purpose of the Study:

To develop and validate software for correcting the dynamic error of force transducers during impact measurements.
To enable the software to estimate the uncertainty of both uncorrected and corrected force measurements.
To provide a practical solution for improving the reliability of impact force data.

Main Methods:

Development of software that utilizes the transducer's output signal to correct its own dynamic error.
Evaluation of dynamic error using the Levitation Mass Method (LMM) for precise impact force determination.
Determination and validation of correction parameters using multiple impact measurements from identical transducers.

Main Results:

The developed software successfully corrects the dynamic error of force transducers.
The software accurately estimates the uncertainty associated with corrected force measurements.
Validation experiments confirmed the effectiveness of the determined correction parameters across multiple transducers.

Conclusions:

The proposed software offers a practical and effective method for dynamic error correction in force transducers.
Manufacturer-provided correction parameters would enable users to obtain reliable, uncertainty-quantified impact force data.
The developed software has significant potential for improving the accuracy and reliability of impact force measurements in industrial and research settings.