scholarly journals The Unsteady Aerodynamic Force Measurement System with Forced Oscillation of Large Amplitude

1999 ◽  
Vol 1999 (78) ◽  
pp. 95-97 ◽  
Author(s):  
Hiroyoshi MORISHIMA ◽  
Hiroo INOUE
Keyword(s):  
Measurement System ◽  
Large Amplitude ◽  
Forced Oscillation ◽  
Force Measurement ◽  
Aerodynamic Force ◽  
Unsteady Aerodynamic ◽  
Unsteady Aerodynamic Force ◽  
Force Measurement System

scholarly journals Intelligent Force-Measurement System Use in Shock Tunnel

Sensors ◽  
2020 ◽  
Vol 20 (21) ◽  
pp. 6179
Author(s):  
Yunpeng Wang ◽  
Zonglin Jiang
Keyword(s):  
Deep Learning ◽  
Measurement System ◽  
Force Measurement ◽  
Aerodynamic Force ◽  
Low Frequency ◽  
Shock Tunnel ◽  
New Method ◽  
Test Results ◽  
Force Measurement System ◽  
The Impact

The inertial vibration of the force measurement system (FMS) has a large influence on the force measuring result of aircraft, especially on some tests carried out in high-enthalpy impulse facilities, such as in a shock tunnel. When force tests are conducted in a shock tunnel, the low-frequency vibrations of the FMS and its motion cannot be addressed through digital filtering because of the inertial forces, which are caused by the impact flow during the starting process of the shock tunnel. Therefore, this paper focuses on the dynamic characteristics of the performance of the FMS. A new method—i.e., deep-learning-based single-vector dynamic self-calibration (DL-based SV-DSC) of an impulse FMS, is proposed to increase the accuracy of aerodynamic force measurements in a shock tunnel. A deep-learning technique is used to train the dynamic model of the FMS in this study. Convolutional neural networks with a simple structure are applied to describe the dynamic modeling so that the low-frequency vibration signals are eliminated from the test results of the shock tunnel. By validation of the force test results measured in a shock tunnel, the current trained model can realize intelligent processing of the balance signals of the FMS. Based on this new method of dynamic calibration, the reliability and accuracy of force data processing are well verified.

scholarly journals An fMRI-compatible force measurement system for the evaluation of the neural correlates of step initiation

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Andrea Cristina de Lima-Pardini ◽  
Raymundo Machado de Azevedo Neto ◽  
Daniel Boari Coelho ◽  
Catarina Costa Boffino ◽  
Sukhwinder S. Shergill ◽  
...  
Keyword(s):  
Measurement System ◽  
Force Measurement ◽  
Neural Correlates ◽  
Step Initiation ◽  
Force Measurement System

Design and Development on Piezoelectric Ceramic Type Insole 3D Force Measurement System Based on LabVIEW

2011 ◽  
Vol 383-390 ◽  
pp. 774-779
Author(s):  
Ye Min Guo ◽  
Lan Mei Wang ◽  
Rui Yong Xue
Keyword(s):  
Shear Stress ◽  
Measurement System ◽  
Plantar Pressure ◽  
Piezoelectric Ceramic ◽  
Force Measurement ◽  
Stress System ◽  
Scientific Methods ◽  
Lab View ◽  
Design Requirements ◽  
Force Measurement System

According to the requirements of measurement of plantar pressure and shear stress in the meantime, this thesis puts forward a plan to construct a new insole plantar pressure and shear stress system based on multifunction data acquisition modular and Lab VIEW. Then the hardware part and software part are designed and developed respectively. There are 3 sensors are arrayed at each measurement point, that means 3 sensors are assembled in 3 different directions of X,Y and Z . The piezoelectric ceramic type sensors are designed, manufactured and calibrated according to scientific methods. Meanwhile, the DAQ card is selected carefully. Of course, the software part is developed based on Lab VIEW. A series of tests are performed in order to validate the function of the measurement system. The results satisfy the anticipated design requirements. At last, the problems and application trend of the measurement system are predicted.

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