THERMAL SCIENCE

International Scientific Journal

Zhihao Xu

,

Yizhen Lin

,

Qingjun Zhang

,

Nanzhe Ding

,

Xiaobai Zhang

DESIGN OF AUTOMATIC MEASUREMENT SYSTEM FOR PRE-TIGHTENING PARAMETERS OF MULTI-AXIS WRIST FORCE PRESSURE SENSOR

ABSTRACT
Aiming at the shortcomings of low efficiency and poor accuracy of the existing pressure sensor pre-tightening parameter measurement system, an automatic multi-axis wrist force sensor pre-tightening parameter measurement system is designed. The multi-axis wrist force sensor module is used to collect real-time tension signal from the loaded hand wheel. After amplification, the signal is transmitted to the multi-channel gating module through RS485 communication module to realize the tested sensing. After fast switching and constant current source power supply control function, the data collector collects the pull signal obtained by multi-axis wrist force pressure sensor and transmits it to the upper computer of the system designed by LabVIEW through RS485 bus. The upper computer controls and collects the pressure sensor according to the pull signal feedback from the data collector, and the pre-tightening displacement of multi-axis wrist force sensor is determined by parameters such as axial displacement and friction resistance moment. The experimental results show that the designed system can fully measure the pre-tightening parameters of the sensor, and the starting moment measurement error is only 0.102%. The system can meet the requirements of batch measurement and calibration of multi-axis wrist force sensor with accuracy of 1%-0.1%.
KEYWORDS
Multi-Axis, Wrist Force Pressure Sensor, Pre-Tightening Parameters, Automatic Measurement, Multi-Channel Gating, Axial Displacement
PAPER SUBMITTED: 1970-01-01
PAPER REVISED: 2019-09-05
PAPER ACCEPTED: 2019-09-06
PUBLISHED ONLINE: 2020-02-08
DOI REFERENCE: https://doi.org/10.2298/TSCI190612017X
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2020, VOLUME 24, ISSUE Issue 3, PAGES [1521 - 1528]
REFERENCES
  1. Lee, D. H., Kim, U., & Gulrez, T. (2016) A Laparoscopic Grasping Tool with Force Sensing Capability. IEEE/ASME Transactions on Mechatronics, 21 (1), 130-141.
  2. Zhang, W., Lua, K. B., & Truong, V. T. (2016) Design and Characterization of a Novel T-shaped Multi-axis Piezoresistive Force/Moment Sensor. IEEE Sensors Journal, 16(11), 4198-4210.
  3. Al-Mai, O., Ahmadi, M., & Albert, J. (2018) Design, Development and Calibration of a Lightweight, Compliant 6-axis Optical Force/Torque Sensor. IEEE Sensors Journal, (99), 1-1.
  4. Nela L, Tang J, Cao Q, et al. (2018) Large-Area High-Performance Flexible Pressure Sensor with Carbon Nanotube Active Matrix for Electronic Skin. Nano Letters, 18(3), 2054-2059.
  5. Fernández-Pousa, C. R. (2018) Perfect Phase-Coded Pulse Trains Generated by Talbot Effect. Applied Mathematics & Nonlinear Sciences, 3(1), 23-32.
  6. Höink, A.J., Schülke, C., Koch, R., et al. (2017) Response Evaluation of Malignant Liver Lesions after TACE/SIRT: Comparison of Manual and Semi-automatic Measurement of Different Response Criteria in Multislice CT. RöFo, 189(11), 1067-1075.
  7. Liu, S., Wu, Y., & Chang, X. (2016) TU-FG-201-03: Automatic Pre-delivery Verification Using Statistical Analysis of Consistencies in Treatment Plan Parameters by the Treatment Site and Modality. Medical Physics, 43(6Part35), 3753-3753.
  8. Athanasiou, L. V., Polizopoulou, Z., & Kalafati, M. R. (2016) Effects of Pre-analytical Handling on Selected Canine Hematological Parameters Evaluated by Automatic Analyzer. Veterinary Research Forum, 7(4), 281-285.
  9. Lorenzen, M., Dabbene, F., & Tempo, R. (2017) Constraint-tightening and Stability in Stochastic Model Predictive Control. IEEE Transactions on Automatic Control, 62(7), 3165-3177.
  10. Kim, H., Chang, M. P., & Hwang, E. J. (2017) Pulmonary Subsolid Nodules: Value of Semi-automatic Measurement in Diagnostic Accuracy, Diagnostic Reproducibility and Nodule Classification Agreement. European Radiology, 28(5), 1-10.
  11. Esteban, M., Núñez, E. P., & Torres, F. (2017) Bifurcation Analysis of Hysteretic Systems with Saddle Dynamics. Applied Mathematics & Nonlinear Sciences, 2(2), 449-464.
  12. Boutry, C. M., Kaizawa, Y., Schroeder, B. C., et al. (2018) A Stretchable and Biodegradable Strain and Pressure Sensor for Orthopaedic Application. Nature Electronics, 1(5), 314-321.
  13. Treibel, T. A., Fontana, M., & Maestrini, V. (2016) Automatic Measurement of the Myocardial Interstitium: Synthetic Extracellular Volume Quantification without Hematocrit Sampling. Jacc Cardiovascular Imaging, 9(1), 54-63.
  14. Bin, M., & Meglio, F. D. (2017). Boundary Estimation of Boundary Parameters for Linear Hyperbolic PDEs. IEEE Transactions on Automatic Control, 62(8), 3890-3904.
  15. Chen, D., Yi, C., & Huang, M. C. (2018) Customizable Pressure Sensor Array: Design and Evaluation. IEEE Sensors Journal, (99), 1-1.
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Design of automatic measurement system for pre-tightening parameters of multi-axis wrist force pressure sensor

© 2024 Society of Thermal Engineers of Serbia. Published by the Vinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, Belgrade, Serbia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International licence