scholarly journals Dynamic Measurements Using FDM 3D-Printed Embedded Strain Sensors

Sensors ◽  
2019 ◽  
Vol 19 (12) ◽  
pp. 2661 ◽  
Author(s):  
Marco Maurizi ◽  
Janko Slavič ◽  
Filippo Cianetti ◽  
Marko Jerman ◽  
Joško Valentinčič ◽  
...  
Keyword(s):  
Temperature Effects ◽  
Dynamic Range ◽  
Dynamic Performance ◽  
Theoretical Background ◽  
Strain Sensors ◽  
Dynamic Measurements ◽  
Static Calibration ◽  
Sensory Element ◽  
3D Printed ◽  
Opening Up

3D-printing technology is opening up new possibilities for the co-printing of sensory elements. While quasi-static research has shown promise, the dynamic performance has yet to be researched. This study researched smart 3D structures with embedded and printed sensory elements. The embedded strain sensor was based on the conductive PLA (Polylactic Acid) material. The research was focused on dynamic measurements of the strain and considered the theoretical background of the piezoresistivity of conductive PLA materials, the temperature effects, the nonlinearities, the dynamic range, the electromagnetic sensitivity and the frequency range. A quasi-static calibration used in the dynamic measurements was proposed. It was shown that the temperature effects were negligible, the sensory element was linear as long as the structure had a linear response, the dynamic range started at ∼ 30 μ ϵ and broadband performance was in the range of few kHz (depending on the size of the printed sensor). The promising results support future applications of smart 3D-printed systems with embedded sensory elements being used for dynamic measurements in areas where currently piezo-crystal-based sensors are used.

scholarly journals Piezoresistive dynamic simulations of FDM 3D-Printed embedded strain sensors: a new modal approach

2019 ◽  
Vol 24 ◽  
pp. 390-397 ◽  
Author(s):  
Marco Maurizi ◽  
Filippo Cianetti ◽  
Janko Slavič ◽  
Guido Zucca ◽  
Massimiliano Palmieri
Keyword(s):  
Strain Sensors ◽  
Dynamic Simulations ◽  
Modal Approach ◽  
3D Printed

scholarly journals Coulomb-actuated microbeams revisited: experimental and numerical modal decomposition of the saddle-node bifurcation

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Anton Melnikov ◽  
Hermann A. G. Schenk ◽  
Jorge M. Monsalve ◽  
Franziska Wall ◽  
Michael Stolz ◽  
...  
Keyword(s):  
Finite Element ◽  
Microelectromechanical Systems ◽  
Dynamic Range ◽  
Dynamic Performance ◽  
Major Step ◽  
Element Analysis ◽  
Electrostatic Actuators ◽  
Voltage Range ◽  
Drive Voltage ◽  
Depth Analysis

AbstractElectrostatic micromechanical actuators have numerous applications in science and technology. In many applications, they are operated in a narrow frequency range close to resonance and at a drive voltage of low variation. Recently, new applications, such as microelectromechanical systems (MEMS) microspeakers (µSpeakers), have emerged that require operation over a wide frequency and dynamic range. Simulating the dynamic performance under such circumstances is still highly cumbersome. State-of-the-art finite element analysis struggles with pull-in instability and does not deliver the necessary information about unstable equilibrium states accordingly. Convincing lumped-parameter models amenable to direct physical interpretation are missing. This inhibits the indispensable in-depth analysis of the dynamic stability of such systems. In this paper, we take a major step towards mending the situation. By combining the finite element method (FEM) with an arc-length solver, we obtain the full bifurcation diagram for electrostatic actuators based on prismatic Euler-Bernoulli beams. A subsequent modal analysis then shows that within very narrow error margins, it is exclusively the lowest Euler-Bernoulli eigenmode that dominates the beam physics over the entire relevant drive voltage range. An experiment directly recording the deflection profile of a MEMS microbeam is performed and confirms the numerical findings with astonishing precision. This enables modeling the system using a single spatial degree of freedom.

3D Printed Flexible Strain Sensors: From Printing to Devices and Signals

2021 ◽  
Vol 33 (8) ◽  
pp. 2004782
Author(s):  
Haodong Liu ◽  
Hongjian Zhang ◽  
Wenqi Han ◽  
Huijuan Lin ◽  
Ruizi Li ◽  
...  
Keyword(s):  
Strain Sensors ◽  
3D Printed

scholarly journals Development of surface reconstruction algorithms for optical interferometric measurement

2020 ◽  
Author(s):  
Dongxu Wu ◽  
Fengzhou Fang
Keyword(s):  
Surface Topography ◽  
Dynamic Range ◽  
Functional Performance ◽  
Theoretical Background ◽  
Optical Interferometry ◽  
Reconstruction Algorithms ◽  
Fringe Analysis ◽  
Intelligent Sampling ◽  
On Line ◽  
Accuracy And Repeatability

AbstractOptical interferometry is a powerful tool for measuring and characterizing areal surface topography in precision manufacturing. A variety of instruments based on optical interferometry have been developed to meet the measurement needs in various applications, but the existing techniques are simply not enough to meet the ever-increasing requirements in terms of accuracy, speed, robustness, and dynamic range, especially in on-line or on-machine conditions. This paper provides an in-depth perspective of surface topography reconstruction for optical interferometric measurements. Principles, configurations, and applications of typical optical interferometers with different capabilities and limitations are presented. Theoretical background and recent advances of fringe analysis algorithms, including coherence peak sensing and phase-shifting algorithm, are summarized. The new developments in measurement accuracy and repeatability, noise resistance, self-calibration ability, and computational efficiency are discussed. This paper also presents the new challenges that optical interferometry techniques are facing in surface topography measurement. To address these challenges, advanced techniques in image stitching, on-machine measurement, intelligent sampling, parallel computing, and deep learning are explored to improve the functional performance of optical interferometry in future manufacturing metrology.

scholarly journals Automated 3D-printed unibody immunoarray for chemiluminescence detection of cancer biomarker proteins

Lab on a Chip ◽  
2017 ◽  
Vol 17 (3) ◽  
pp. 484-489 ◽  
Author(s):  
C. K. Tang ◽  
A. Vaze ◽  
J. F. Rusling
Keyword(s):  
Dynamic Range ◽  
Low Cost ◽  
Protein Detection ◽  
Cancer Biomarker ◽  
Chemiluminescence Detection ◽  
Large Dynamic Range ◽  
3D Printed

A valve-free, low cost 3D-printed device was designed for fast, low cost automated protein detection of PSA and PF-4 with a LOD of 0.5 pg mL−1 and a large dynamic range.

scholarly journals A 5GS/s 8-bit ADC with Self-Calibration in 0.18 μm SiGe BiCMOS Technology

Electronics ◽  
2019 ◽  
Vol 8 (2) ◽  
pp. 253
Author(s):  
Dong Wang ◽  
Jian Luan ◽  
Xuan Guo ◽  
Lei Zhou ◽  
Danyu Wu ◽  
...  
Keyword(s):  
Dynamic Range ◽  
Dynamic Performance ◽  
Open Loop ◽  
Total Power ◽  
Least Significant Bit ◽  
Analog To Digital ◽  
Self Calibration ◽  
Differential Nonlinearity ◽  
Bicmos Technology ◽  
Sige Bicmos

A 5 GS/s 8-bit analog-to-digital converter (ADC) implemented in 0.18 μm SiGe BiCMOS technology has been demonstrated. The proposed ADC is based on two-channel time-interleaved architecture, and each sub-ADC employs a two-stage cascaded folding and interpolating topology of radix-4. An open loop track-and-hold amplifier with enhanced linearity is designed to meet the dynamic performance requirement. The on-chip self-calibration technique is introduced to compensate the interleaving mismatches between two sub-ADCs. Measurement results show that the spurious free dynamic range (SFDR) stays above 44.8 dB with a peak of 53.52 dB, and the effective number of bits (ENOB) is greater than 5.8 bit with a maximum of 6.97 bit up to 2.5 GS/s. The ADC exhibits a differential nonlinearity (DNL) of -0.31/+0.23 LSB (least significant bit) and an integral nonlinearity (INL) of -0.68/+0.68 LSB, respectively. The chip occupies an area of 3.9 × 3.6 mm2, consumes a total power of 2.8 W, and achieves a figure of merit (FoM) of 10 pJ/conversion step.

scholarly journals Combining High Sensitivity and Dynamic Range: Wearable Thin-Film Composite Strain Sensors of Graphene, Ultrathin Palladium, and PEDOT:PSS

2019 ◽  
Vol 2 (4) ◽  
pp. 2222-2229 ◽  
Author(s):  
Julian Ramírez ◽  
Daniel Rodriquez ◽  
Armando D. Urbina ◽  
Anne M. Cardenas ◽  
Darren J. Lipomi
Keyword(s):  
Thin Film ◽  
Dynamic Range ◽  
High Sensitivity ◽  
Strain Sensors ◽  
Film Composite ◽  
Thin Film Composite ◽  
Composite Strain
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