Structure design of six-component strain-gauge-based transducer for minimum cross-interference via hybrid optimization methods

Li, Xiang; He, Hui; Ma, Hongqiang

doi:10.1007/s00158-018-2177-y

Cited by 9 publications

(5 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Several disk for torque measuring sensors technologically advanced into spoke-type assemblies, as an alternative, depiction strain on the at right angles or cross spoke-surface with a twisting distortion approach (Wang Y.J. et al, 2017;Hu G.Y et al,2018;Li X. et al, 2019). A Lever-Type Method of Strain Exposure for Disk F-Shaped Torque Sensor Design reported by (Ran Shu et al, 2020).…”

Section: Scientific Journal For the Faculty Of Science-sirte University (Sjfssu)mentioning

confidence: 99%

Untitled

2022

SJFSSU

View full text Add to dashboard Cite

Section: Scientific Journal For the Faculty Of Science-sirte University (Sjfssu)mentioning

confidence: 99%

Untitled

2022

SJFSSU

View full text Add to dashboard Cite

“…Resistance strain measurement is widely used because of its general applicability [5][6]. The measurement principle of a strain-gauge-based sensor lies in the two principles of material mechanics, one is linear relationship between structural strain and external load, the other one is superposition principle [7]. Strain gauges make up Wheatstone bridge.…”

Section: Calibration Principlementioning

confidence: 99%

Optimal design of sensor structure based on virtual calibration test

Wei¹,

Lv²,

Jia³

2021

IJFET

View full text Add to dashboard Cite

The design of wheel six-component force sensor includes elastic body, strain gauges distribution scheme, signal acquisition and processing and so on. In this paper, the virtual calibration test is used to optimize the structure of the sensor elastic body. According to the structure and principle of the self-developed six component force sensor calibration test-bed, a set of calibration device is designed for the sensor. The stress distribution and strain output of the elastic body are obtained by finite element method. The optimization of elastic body is carried out from the requirements of material strength and coupling rate of output signal. Finally, the sensor elastic body structure which meets the strength requirements and has low coupling rate is obtained.

show abstract

“…Although the paper only considers bending moments, the same can be 2 applied to other parasitic loads. In multi-axis force/torque sensors, this behavior is called cross-talk, and eliminating cross-talk is the task of utmost importance is designing forcemeasuring instruments for robotics [8][9][10].…”

Section: Problem Statementmentioning

confidence: 99%

A Framework for Optimal Placement of Strain Gauges on Elastic Elements of Force Sensors Using Genetic Algorithms

Gavrilenkov

2020

ITM Web Conf.

View full text Add to dashboard Cite

This paper presents a digital education tool for learning the specifics and behavior of a multi-objective genetic algorithm (MOGA) used to solve the problem of optimal placement of strain gauges on the elastic element of a force sensor. The paper formulates the problem statement and specifies how this problem can be solved using the MOGA. For the problem, the design variables are the locations of strain gauges and angles at which they are positioned. The goal functions are the output signal of the sensor and the measurement error from bending moments, which can be caused by the off-centric application of load. The solution algorithm is implemented within a framework that can be used to investigate and learn how parameters of MOGA influence its performance. The framework is used to run computational experiments for the given problem to find the optimal placement of strain gauges on the elastic element of a given force sensor. The performance of the MOGA in solving this problem is compared to that of the traditional approach.

show abstract

Structure design of six-component strain-gauge-based transducer for minimum cross-interference via hybrid optimization methods

Cited by 9 publications

References 19 publications

Untitled

Untitled

Optimal design of sensor structure based on virtual calibration test

A Framework for Optimal Placement of Strain Gauges on Elastic Elements of Force Sensors Using Genetic Algorithms

Contact Info

Product

Resources

About