scholarly journals Hardware and Software Development for Isotonic Strain and Isometric Stress Measurements of Linear Ionic Actuators

Polymers ◽  
2019 ◽  
Vol 11 (6) ◽  
pp. 1054 ◽  
Author(s):  
Madis Harjo ◽  
Tarmo Tamm ◽  
Gholamreza Anbarjafari ◽  
Rudolf Kiefer
Keyword(s):  
Isometric Force ◽  
Signal To Noise Ratio ◽  
Force Sensor ◽  
Linear Displacement ◽  
Multiwall Carbon Nanotube ◽  
Free Standing ◽  
Polypyrrole Films ◽  
Force Signal ◽  
Numerous Test ◽  
Ionic Actuator

An inseparable part of ionic actuator characterization is a set of adequate measurement devices. Due to significant limitations of available commercial systems, in-house setups are often employed. The main objective of this work was to develop a software solution for running isotonic and isometric experiments on a hardware setup consisting of a potentiostat, a linear displacement actuator, a force sensor, and a voltmeter for measuring the force signal. A set of functions, hardware drivers, and measurement automation algorithms were developed in the National Instruments LabVIEW 2015 system. The result is a software called isotonic (displacement) and isometric (force) electro-chemo-measurement software (IIECMS), that enables the user to control isotonic and isometric experiments over a single compact graphical user interface. The linear ionic actuators chosen as sample systems included different materials with different force and displacement characteristics, namely free-standing polypyrrole films doped with dodecylbenzene sulfonate (PPy/DBS) and multiwall carbon nanotube/carbide-derived carbon (MWCNT-CDC) fibers. The developed software was thoroughly tested with numerous test samples of linear ionic actuators, meaning over 200 h of experimenting time where over 90% of the time the software handled the experiment process autonomously. The uncertainty of isotonic measurements was estimated to be 0.6 µm (0.06%). With the integrated correction algorithms, samples with as low as 0 dB signal-to-noise ratio (SNR) can be adequately described.

Optical studies on free-standing polypyrrole films by the photopyroelectric method

1996 ◽  
Vol 62 (5) ◽  
pp. 499-502 ◽  
Author(s):  
R. Turcu ◽  
M. Brie ◽  
A. Frandas ◽  
S. Pruneanu
Keyword(s):  
Optical Studies ◽  
Free Standing ◽  
Polypyrrole Films

Hybrid Neural Network Models of Six-Axis Force Sensor

2012 ◽  
Vol 591-593 ◽  
pp. 1450-1456
Author(s):  
Sheng Lai Chen ◽  
Jian Zhong Hong
Keyword(s):  
Neural Network ◽  
Linear Part ◽  
Network Models ◽  
Mapping Function ◽  
Force Sensor ◽  
Measuring System ◽  
Data Simulation ◽  
Neural Network Models ◽  
Nonlinear Part ◽  
Force Signal

A method of analyzing the Six-axis force measuring system by hybrid modeling is introduced in this paper. The mapping function of signal voltage output, which is input vectors of the Neural Network (NN) model, and measuring force signal, which is output vectors of the NN model, is represented as two parts. The determined linear part obtains the main principle and the the information of transfer matrix. The undetermined nonlinear part are estimated by neural network. The problems about nonlinear error and coupling are solved. The accuracy and feasibility of the method are displayed by the result of experiment data simulation.

A Novel Design of Calibration Equipment for 6-Component Huge Force Sensor and Coupling Modification

2009 ◽  
Vol 626-627 ◽  
pp. 111-116 ◽  
Author(s):  
J. Zhang ◽  
Z.L. Peng ◽  
Y.J. Li ◽  
Min Qian
Keyword(s):  
Input Signal ◽  
Force Sensor ◽  
Electric Signal ◽  
Coupling Matrix ◽  
Static Calibration ◽  
Input Force ◽  
The Matrix ◽  
Force Signal ◽  
The Relationship ◽  
Novel Design

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.

scholarly journals Sparse Sonomyography-based Estimation of Isometric Force: A Comparison of Methods and Features

2021 ◽  
Author(s):  
Anne Tryphosa Kamatham ◽  
Meena Alzamani ◽  
Allison Dockum ◽  
Siddhartha Sikdar ◽  
Biswarup Mukherjee
Keyword(s):  
Isometric Force ◽  
Signal To Noise Ratio ◽  
Gaussian Process Regression ◽  
Feature Space ◽  
Speckle Noise ◽  
Neural Activation ◽  
Computationally Efficient ◽  
Noninvasive Methods ◽  
Efficient Operation ◽  
Force Prediction

Noninvasive methods for estimation of joint and muscle forces have widespread clinical and research applications. Surface electromyography or sEMG provides a measure of the neural activation of muscles which can be used to estimate the force produced by the muscle. However, sEMG based measures of force suffer from poor signal-to-noise ratio and limited spatiotemporal specificity. In this paper, we propose an ultrasound imaging or sonomyography-based approach for estimating continuous isometric force from a sparse set of ultrasound scanlines. Our approach isolates anatomically relevant features from A-mode ultrasound signals, greatly reducing the dimensionality of the feature space and the computational complexity involved in traditional ultrasound-based methods. We evaluate the performance of four regression methodologies for force prediction using the reduced feature set. We also evaluate the feasibility of a practical wearable sonomyography-based system by simulating the effect of transducer placement and varying the number of transducers used in force prediction. Our results demonstrate that Gaussian process regression models outperform other regression methods in predicting continuous force levels from just four equispaced transducers and are tolerant to speckle noise. These findings will aid in the design of wearable sonomyography-based force prediction systems with robust, computationally efficient operation.

scholarly journals Reduction of Parasitic Capacitance of A PDMS Capacitive Force Sensor

Micromachines ◽  
2018 ◽  
Vol 9 (11) ◽  
pp. 570 ◽  
Author(s):  
Tatsuho Nagatomo ◽  
Norihisa Miki
Keyword(s):  
Dielectric Constant ◽  
Signal To Noise Ratio ◽  
Force Sensor ◽  
Parasitic Capacitance ◽  
Uv Exposure ◽  
Signal To Noise ◽  
Buffer Solution ◽  
Low Dielectric ◽  
Reduction Techniques ◽  
Noise Ratio

Polymer-based flexible micro electro mechanical systems (MEMS) tactile sensors have been widely studied for a variety of applications, such as medical and robot fields. The small size and flexibility are of great advantage in terms of accurate measurement and safety. Polydimethylsiloxane (PDMS) is often used as the flexible structural material. However, the sensors are likely subject to large parasitic capacitance noise. The smaller dielectric constant leads to smaller influences of parasitic capacitance and a larger signal-to-noise ratio. In this study, the sensor underwent ultraviolet (UV) exposure, which changes Si–CH3 bonds in PDMS to Si–O, makes PDMS nanoporous, and leads to a low dielectric constant. In addition, we achieved further reduction of the dielectric constant of PDMS by washing it with an ethanol–toluene buffer solution after UV exposure. This simple but effective method can be readily applicable to improve the signal-to-noise ratio of PDMS-based flexible capacitive sensors. In this study, we propose reduction techniques for the dielectric constant of PDMS and applications for flexible capacitive force sensors.

scholarly journals Vertical-Type Ni/GaN UV Photodetectors Fabricated on Free-Standing GaN Substrates

2019 ◽  
Vol 9 (14) ◽  
pp. 2895 ◽  
Author(s):  
Bing Ren ◽  
Meiyong Liao ◽  
Masatomo Sumiya ◽  
Jian Huang ◽  
Linjun Wang ◽  
...  
Keyword(s):  
Signal To Noise Ratio ◽  
Schottky Contact ◽  
High Signal ◽  
Threading Dislocation ◽  
High Electron ◽  
Free Standing ◽  
Lower Growth ◽  
Schottky Type ◽  
Lower Growth Rate ◽  
Self Powered

The authors report on a vertical-type visible-blind ultraviolet (UV) Schottky-type photodetector fabricated on a homoepitaxial GaN layer grown on free-standing GaN substrates with a semi-transparent Ni Schottky contact. Owing to the high-quality GaN drift layer with low-density threading dislocation and high electron mobility, the UV photodetector shows a high specific detectivity of more than 1012 Jones and a UV/visible discrimination ratio of ~1530 at −5 V. The photodetector also shows the excellent self-powered photo-response and a high signal-to-noise ratio of more than 104 at zero voltage. It is found that a relatively lower growth rate for the GaN epilayer is preferred to improve the performance of the Schottky-type photodetectors due to the better microstructure and surface properties.

Spontaneous Growth of Free-Standing Polypyrrole Films at an Air/Ionic Liquid Interface

Langmuir ◽  
2010 ◽  
Vol 26 (18) ◽  
pp. 14405-14408 ◽  
Author(s):  
Dong Wang ◽  
Yan-Xiang Li ◽  
Zhun Shi ◽  
Hai-Li Qin ◽  
Lei Wang ◽  
...  
Keyword(s):  
Ionic Liquid ◽  
Liquid Interface ◽  
Free Standing ◽  
Spontaneous Growth ◽  
Polypyrrole Films

Bi-ionic actuator by polypyrrole films

2003 ◽  
Vol 135-136 ◽  
pp. 61-62 ◽  
Author(s):  
W. Takashima ◽  
S.S. Pandey ◽  
K. Kaneto
Keyword(s):  
Polypyrrole Films ◽  
Ionic Actuator
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