Research on Calibration Methods and Experiments for Six-Component Force Sensors

The measurement accuracy of six-component force sensors is crucial for reliable hydrodynamic model test results. To enhance data precision, this study presents an efficient calibration device based on a dual-axis rotational mechanism, enabling multi-degree-of-freedom attitude adjustment of the sensor. By applying known forces and moments through various loading conditions and employing the least squares method to obtain a 6 × 6 calibration coefficient matrix, we effectively reduce system errors and external disturbances. The effectiveness of the proposed calibration method is validated using rotational arm tests with a KCS standard ship model. The results indicate that most calibration point errors are below 1%, with the maximum error not exceeding 7%, and the measured data show good agreement with international standards. This method offers high calibration efficiency and accuracy, making it well-suited for the calibration of multi-component force sensors and for use in hydrodynamic, wind tunnel, and other multi-disciplinary experimental applications, promising potential for wider use.

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Publication Details

Journal
Journal of Marine Science and Engineering
Published
2025-09-18
DOI
https://doi.org/10.3390/jmse13091811
Citations
1
Primary Topic
Sensor Technology and Measurement Systems
Type
article
Field-Weighted Citation Impact
1.49
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article

Research on Calibration Methods and Experiments for Six-Component Force Sensors

Bowen Zhao, Qingqi Lin, Xu Liang, Hongyang Zhao
1 citations
Journal of Marine Science and Engineering
Sensor Technology and Measurement Systems
1.49
article

Research on Calibration Methods and Experiments for Six-Component Force Sensors

Bowen Zhao, Qingqi Lin, Xu Liang, Hongyang Zhao
article en
1 citations

Abstract

The measurement accuracy of six-component force sensors is crucial for reliable hydrodynamic model test results. To enhance data precision, this study presents an efficient calibration device based on a dual-axis rotational mechanism, enabling multi-degree-of-freedom attitude adjustment of the sensor. By applying known forces and moments through various loading conditions and employing the least squares method to obtain a 6 × 6 calibration coefficient matrix, we effectively reduce system errors and external disturbances. The effectiveness of the proposed calibration method is validated using rotational arm tests with a KCS standard ship model. The results indicate that most calibration point errors are below 1%, with the maximum error not exceeding 7%, and the measured data show good agreement with international standards. This method offers high calibration efficiency and accuracy, making it well-suited for the calibration of multi-component force sensors and for use in hydrodynamic, wind tunnel, and other multi-disciplinary experimental applications, promising potential for wider use.

Journal of Marine Science and EngineeringVol. 13(9)
Zhejiang Ocean University (CN), State Marine Technical University of St. Petersburg (RU), Zhejiang University (CN)
Openalex Percentile: Top 13%
Sensor Technology and Measurement Systems
1.49
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