Optimization and Modeling of Ink-Jet Printed Flexible Position Sensor

2013 ◽  
Vol 543 ◽  
pp. 306-309 ◽  
Author(s):  
Nataša Samardžić ◽  
Nikola Jeranče ◽  
Goran Stojanović

This paper presents how geometrical and technological parameters of inductive angular position sensor, fabricated on flexible substrate, influence its characteristics. In our earlier work, the angular position sensor has been already presented but for 60° stroke. In presented work, the design and optimization have been performed for 90° stroke, which is extensively used, for example, in automotive applications. For three different designs of meander rolled coils, width of segments, substrate thickness and relative distance between outer and inner coils have been changed in order to find optimal sensor structure. The proposed sensor is low-cost, easily fabricated and its parameters can be adapted for different angular strokes and applications.

2013 ◽  
Vol 60 (2) ◽  
pp. 827-832 ◽  
Author(s):  
Aleksandar B. Menicanin ◽  
Ljiljana D. Zivanov ◽  
Mirjana S. Damnjanovic ◽  
Andrea M. Maric

2021 ◽  
Author(s):  
Liang Cai ◽  
Krishna M Kovur ◽  
Prashanthi Kovur ◽  
Carlo D. Montemagno

We report the design, fabrication and quantitative performance analysis of a low-cost, flexible carbon nanotube (CNT) network-based deoxyribonucleic acid (DNA) sensor. These sensors comprise an array of ink-jet printed silver (Ag) electrodes on a transparent polyethylene terephthalate (PET) flexible substrate, where a CNT network acts as a sensing layer. The DNA hybridization is studied by immobilizing single-stranded DNA (ssDNA) probes on the CNT surface; these probes recognize their complementary DNA target. Further, we have carried out a quantitative performance analysis of the flexible CNT biosensors using the analytic hierarchy process (AHP). We have identified various influencing factors and sub-factors (performance indicators), and quantified the performance of the flexible CNT biosensors in different measured states (before bending, during bending and after bending). Additionally, the noise and other external factors contributing to the measured real signal have been quantified. The interpretation of the overall outcome will enable the improvement of the performance of flexible biosensors fabricated through large-scale manufacturing for possible commercialization.


1996 ◽  
Vol 45 (2) ◽  
pp. 516-520 ◽  
Author(s):  
Xiujun Li ◽  
G.C.M. Meijer ◽  
G.W. de Jong ◽  
J.W. Spronck

2021 ◽  
Author(s):  
Ji Myong Choe ◽  
Nam Chol Yu ◽  
Nam Jin Ri ◽  
Mu Song An ◽  
Un Chol Kim

Abstract Absolute rotary angular /position sensors play an important role in various applications and rapid development of new technologies requires further accurate measurement and control. In this paper, a novel, very simple, low-cost and high accurate absolute rotary angular/ position sensor is presented. The sensor operation is based on the combination of circular gradient gray scale and gray code pattern. A simple experiment is done in order to demonstrate proof of concept of proposed sensor. The experimental results show that the proposed absolute rotary angular/position sensor has excellent linear characteristics with accuracy below ±1° and resolution of 0.1° within the full measurement range from 0° to 360°. The proposed idea and experimental results can be helpful to design absolute rotary angular/position sensor to improve performance of it.


2021 ◽  
Author(s):  
Liang Cai ◽  
Krishna M Kovur ◽  
Prashanthi Kovur ◽  
Carlo D. Montemagno

We report the design, fabrication and quantitative performance analysis of a low-cost, flexible carbon nanotube (CNT) network-based deoxyribonucleic acid (DNA) sensor. These sensors comprise an array of ink-jet printed silver (Ag) electrodes on a transparent polyethylene terephthalate (PET) flexible substrate, where a CNT network acts as a sensing layer. The DNA hybridization is studied by immobilizing single-stranded DNA (ssDNA) probes on the CNT surface; these probes recognize their complementary DNA target. Further, we have carried out a quantitative performance analysis of the flexible CNT biosensors using the analytic hierarchy process (AHP). We have identified various influencing factors and sub-factors (performance indicators), and quantified the performance of the flexible CNT biosensors in different measured states (before bending, during bending and after bending). Additionally, the noise and other external factors contributing to the measured real signal have been quantified. The interpretation of the overall outcome will enable the improvement of the performance of flexible biosensors fabricated through large-scale manufacturing for possible commercialization.


2021 ◽  
Author(s):  
Liang Cai ◽  
Krishna M Kovur ◽  
Prashanthi Kovur ◽  
Carlo D. Montemagno

We report the design, fabrication and quantitative performance analysis of a low-cost, flexible carbon nanotube (CNT) network-based deoxyribonucleic acid (DNA) sensor. These sensors comprise an array of ink-jet printed silver (Ag) electrodes on a transparent polyethylene terephthalate (PET) flexible substrate, where a CNT network acts as a sensing layer. The DNA hybridization is studied by immobilizing single-stranded DNA (ssDNA) probes on the CNT surface; these probes recognize their complementary DNA target. Further, we have carried out a quantitative performance analysis of the flexible CNT biosensors using the analytic hierarchy process (AHP). We have identified various influencing factors and sub-factors (performance indicators), and quantified the performance of the flexible CNT biosensors in different measured states (before bending, during bending and after bending). Additionally, the noise and other external factors contributing to the measured real signal have been quantified. The interpretation of the overall outcome will enable the improvement of the performance of flexible biosensors fabricated through large-scale manufacturing for possible commercialization.


2021 ◽  
Author(s):  
Liang Cai ◽  
Krishna M Kovur ◽  
Prashanthi Kovur ◽  
Carlo D. Montemagno

We report the design, fabrication and quantitative performance analysis of a low-cost, flexible carbon nanotube (CNT) network-based deoxyribonucleic acid (DNA) sensor. These sensors comprise an array of ink-jet printed silver (Ag) electrodes on a transparent polyethylene terephthalate (PET) flexible substrate, where a CNT network acts as a sensing layer. The DNA hybridization is studied by immobilizing single-stranded DNA (ssDNA) probes on the CNT surface; these probes recognize their complementary DNA target. Further, we have carried out a quantitative performance analysis of the flexible CNT biosensors using the analytic hierarchy process (AHP). We have identified various influencing factors and sub-factors (performance indicators), and quantified the performance of the flexible CNT biosensors in different measured states (before bending, during bending and after bending). Additionally, the noise and other external factors contributing to the measured real signal have been quantified. The interpretation of the overall outcome will enable the improvement of the performance of flexible biosensors fabricated through large-scale manufacturing for possible commercialization.


Vibration ◽  
2021 ◽  
Vol 4 (3) ◽  
pp. 551-584
Author(s):  
Samir Mustapha ◽  
Ye Lu ◽  
Ching-Tai Ng ◽  
Pawel Malinowski

The development of structural health monitoring (SHM) systems and their integration in actual structures has become a necessity as it can provide a robust and low-cost solution for monitoring the structural integrity of and the ability to predict the remaining life of structures. In this review, we aim at focusing on one of the important issues of SHM, the design, and implementation of sensor networks. Location and number of sensors, in any SHM system, are of high importance as they impact the system integration, system performance, and accuracy of assessment, as well as the total cost. Hence we are interested in shedding the light on the sensor networks as an essential component of SHM systems. The review discusses several important parameters including design and optimization of sensor networks, development of academic and commercial solutions, powering of sensors, data communication, data transmission, and analytics. Finally, we presented some successful case studies including the challenges and limitations associated with the sensor networks.


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