scholarly journals Dual Layers Pre-stressed Six-axis Force Sensor and Its Static Calibration

2013 ◽  
Vol 49 (03) ◽  
pp. 24 ◽  
Author(s):  
Zhijun WANG
2012 ◽  
Vol 580 ◽  
pp. 3-6
Author(s):  
Chang Yin Gao ◽  
Wan Quan Li

In order to accomplish the static calibration of piezoelectric dynamometer, the principle and structure of a multifunctional high-precision, high rigidity static calibration platform is manufactured in this paper. The screw loading mechanisms are used to achieve vertical force and horizontal forces, and its value can directly obtained by the standard measuring ring. The torque load adopts “force × lever arm" law, that is, the two horizontal loading mechanisms are relatively shifted to form force arm, and at the same time two parallel forces that have the same magnitude and opposite directions are generated. After accuracy and rigidity experiments, the static calibration platform has reached the calibration standard stipulated by CIRP-STCC. Undoubtedly, the calibration platform can use to calibrate unidirectional force, two component force sensor, three-component piezoelectric dynamometer and the drilling dynamometer, such as sensitivity, linearity, repeatability, hysteresis and crosstalk.


2009 ◽  
Vol 626-627 ◽  
pp. 111-116 ◽  
Author(s):  
J. Zhang ◽  
Z.L. Peng ◽  
Y.J. Li ◽  
Min Qian

This paper presents the research on calibration for a 6-component huge force sensor. 6-component huge force sensor is used to measure the loading forces Fx, Fy, Fz and moments Mx, My, Mz. Static calibration equipment is studied. In order to express the relationship between input force signal and output electric signal when the sensor is used, a coupling matrix is needed. In this paper, a method for establishing the coupling matrix is developed. The matrix is used to calculate the input signal when sensor works in the simulation application, and the result shows it serves the sensor well.


2013 ◽  
Vol 753-755 ◽  
pp. 2091-2094 ◽  
Author(s):  
Min Yang

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.


2011 ◽  
Vol 103 ◽  
pp. 299-304 ◽  
Author(s):  
Jun Qing Ma ◽  
Ai Guo Song

In order to judge and control applied force of Chinese massage robot’s end-effector on human body accurately, multi-dimensional interactive forces between massage robot’s end-effector and human should be measured. In this paper, a novel two-axis force sensor suitable for massage robot’s end-effector is presented, which is much smaller than existing sensors but in the same range measurement. Mechanical structure is introduced, theoretical analysis of elastic body is made, and finite element analysis is used to analyze its static characteristic. Then, the distribution of strain gauges and design of Hilton Bridge Circuit are described in detail. Finally, a prototype is fabricated. Decoupling algorithm is designed to reduce the interference error. The result of static calibration experimental data shows that the sensor has features of high precision and sensitivity.


2007 ◽  
Vol 10-12 ◽  
pp. 267-270
Author(s):  
Peng Jia ◽  
Qing Xin Meng ◽  
Hua Wang ◽  
Hai Bo Wang

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.


Author(s):  
Yun Lu ◽  
Weijia Li ◽  
Kai Zhou ◽  
Xiao Wang ◽  
Yaozhong Wu

Aiming at solving the problem of measuring six-axis heavy load and improving measuring accuracy in fatigue test of large structure, this study presents a new type of six-axis force sensor based on the heavy load division principle. The sensor is made with piezoelectric quartz which is used as force sensitive element. This study proposes a type of four point support structure and the spatial mechanical model is deducted for the sensor. Finally, the static calibration experiment is carried out in this study. Experimental results show that the six-axis force of heavy load equipment can be measured with this type of sensor. The basic performance of the sensor shows that it can meet the engineering requirements well.


2020 ◽  
Vol 48 (4) ◽  
pp. 287-314
Author(s):  
Yan Wang ◽  
Zhe Liu ◽  
Michael Kaliske ◽  
Yintao Wei

ABSTRACT The idea of intelligent tires is to develop a tire into an active perception component or a force sensor with an embedded microsensor, such as an accelerometer. A tire rolling kinematics model is necessary to link the acceleration measured with the tire body elastic deformation, based on which the tire forces can be identified. Although intelligent tires have attracted wide interest in recent years, a theoretical model for the rolling kinematics of acceleration fields is still lacking. Therefore, this paper focuses on an explicit formulation for the tire rolling kinematics of acceleration, thereby providing a foundation for the force identification algorithms for an accelerometer-based intelligent tire. The Lagrange–Euler method is used to describe the acceleration field and contact deformation of rolling contact structures. Then, the three-axis acceleration vectors can be expressed by coupling rigid body motion and elastic deformation. To obtain an analytical expression of the full tire deformation, a three-dimensional tire ring model is solved with the tire–road deformation as boundary conditions. After parameterizing the ring model for a radial tire, the developed method is applied and validated by comparing the calculated three-axis accelerations with those measured by the accelerometer. Based on the features of acceleration, especially the distinct peak values corresponding to the tire leading and trailing edges, an intelligent tire identification algorithm is established to predict the tire–road contact length and tire vertical load. A simulation and experiments are conducted to verify the accuracy of the estimation algorithm, the results of which demonstrate good agreement. The proposed model provides a solid theoretical foundation for an acceleration-based intelligent tire.


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