Absolute quasi-static calibration method of piezoelectric high-pressure sensor based on force sensor

Based on the accelerator calibration method of six-axis force sensors, the system of static calibration for a large six-axis force sensor is build, The accelerator calibration method are introduced detail. the designed six-axis force sensor in multi-dimensional accelerators field is calibrated and the result is well used. the system of static calibrations a contraption, which is smart cheap and practicality.

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A Study on Static Calibration Method for Pressure Sensor Based on Static Pressure Calibration Device

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.148-149.121 ◽

2011 ◽

Vol 148-149 ◽

pp. 121-124

Author(s):

Xian Feng Xiong ◽

Fei Shang ◽

De Ren Kong

Keyword(s):

Pressure Sensor ◽

Stress Ratio ◽

Static Pressure ◽

Pressure Sensors ◽

Calibration Method ◽

Test Results ◽

Static Calibration ◽

Pressure Calibration ◽

System Components ◽

Calibration Device

In this paper, a static pressure calibration device is designed and the method of static calibration with piezoelectric pressure sensors is discussed. According to the theory of PASCAL law, the static calibration device is developed, whose stress ratio is up to 1:25. And this device has been accredited by the authorities. To ensure the consistency of pressure calibration, the improvements on calibration device’s output are made. As a result, we can calibrate up to four sensors at the same time. By means of the pressure calibration device, the calibration method of pressure sensor, the calibration theory, system components and calibration procedures is given. As the test results shown, the corresponding sensors’ static calibration linearity is 0.05%, and its uncertainty is 0.42%. It’s practicable and reliable to make static calibration to sensors by the pressure calibration device.

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The Research on the Static Calibration of Fingertip Force Sensor for Underwater Dexterous Hand on RBF Neural Network

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.10-12.267 ◽

2007 ◽

Vol 10-12 ◽

pp. 267-270

Author(s):

Peng Jia ◽

Qing Xin Meng ◽

Hua Wang ◽

Hai Bo Wang

Keyword(s):

Neural Network ◽

Rbf Neural Network ◽

Force Sensor ◽

Calibration Method ◽

Complex Task ◽

Calibration System ◽

Static Calibration ◽

Fingertip Force ◽

Calibration Experiment ◽

Dexterous Hand

The fingertip force sensor is the key for the complex task of the dexterous underwater hand, in order to safely grasp an unknown object using the dexterous underwater hand and accurately perceive its position in the fingers, a sensor should be developed, which can detect the force and position simultaneously. Furthermore, this sensor should be used underwater. It is difficult to employ the accustomed calibration method for the characteristic of the fingertip force sensor, and the accustomed method is not able to assure the precision. A calibration method based on RBF (Radial-Basis Function) neural network is introduced. Furthermore, the calibration system and program are also designed. The calibration experiment of the sensor is carried out. The results show the nonlinear calibration method based on RBF neural network assure the precision of the sensor, which meets the demand of research on the underwater dexterous hand.

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Simulation and Nonlinearity Optimization of a High-Pressure Sensor

Sensors ◽

10.3390/s20164419 ◽

2020 ◽

Vol 20 (16) ◽

pp. 4419

Author(s):

Ting Li ◽

Haiping Shang ◽

Weibing Wang

Keyword(s):

High Pressure ◽

Pressure Sensor ◽

Pressure Sensors ◽

Original Model ◽

Ansys Software ◽

Nonlinear Error ◽

Sensor Model ◽

Optimized Model ◽

Simulation Results ◽

Better Than

A pressure sensor in the range of 0–120 MPa with a square diaphragm was designed and fabricated, which was isolated by the oil-filled package. The nonlinearity of the device without circuit compensation is better than 0.4%, and the accuracy is 0.43%. This sensor model was simulated by ANSYS software. Based on this model, we simulated the output voltage and nonlinearity when piezoresistors locations change. The simulation results showed that as the stress of the longitudinal resistor (RL) was increased compared to the transverse resistor (RT), the nonlinear error of the pressure sensor would first decrease to about 0 and then increase. The theoretical calculation and mathematical fitting were given to this phenomenon. Based on this discovery, a method for optimizing the nonlinearity of high-pressure sensors while ensuring the maximum sensitivity was proposed. In the simulation, the output of the optimized model had a significant improvement over the original model, and the nonlinear error significantly decreased from 0.106% to 0.0000713%.

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A STATIC CALIBRATION METHOD FOR THE GAS CHROMATOGRAPHIC DETERMINATION OF PER CENT CONCENTRATIONS OF VOLATILE ANAESTHETIC AGENTS

British Journal of Anaesthesia ◽

10.1093/bja/58.3.345 ◽

1986 ◽

Vol 58 (3) ◽

pp. 345-352 ◽

Cited By ~ 8

Author(s):

W.M. GRAY

Keyword(s):

Chromatographic Determination ◽

Calibration Method ◽

Volatile Anaesthetic ◽

Static Calibration ◽

Anaesthetic Agents

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Research on PVDF Micro-Force Sensor

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.599-601.1135 ◽

2014 ◽

Vol 599-601 ◽

pp. 1135-1138

Author(s):

Chao Zhe Ma ◽

Jin Song Du ◽

Yi Yang Liu

Keyword(s):

Power Dissipation ◽

Polyvinylidene Fluoride ◽

High Sensitivity ◽

Force Sensor ◽

Calibration Method ◽

Pvdf Film ◽

Force Sensors ◽

Low Power Dissipation ◽

Micro Force Sensor ◽

Processing Circuit

At present, sub-micro-Newton (sub-μN) micro-force in micro-assembly and micro-manipulation is not able to be measured reliably. The piezoelectric micro-force sensors offer a lot of advantages for MEMS applications such as low power dissipation, high sensitivity, and easily integrated with piezoelectric micro-actuators. In spite of many advantages above, the research efforts are relatively limited compared to piezoresistive micro-force sensors. In this paper, Sensitive component is polyvinylidene fluoride (PVDF) and the research object is micro-force sensor based on PVDF film. Moreover, the model of micro-force and sensor’s output voltage is built up, signal processing circuit is designed, and a novel calibration method of micro-force sensor is designed to reliably measure force in the range of sub-μN. The experimental results show the PVDF sensor is designed in this paper with sub-μN resolution.

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