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

2022 ◽  
Vol 306 ◽  
pp. 130935
Author(s):  
Xiaoyu Chen ◽  
Xuezhong Zhang ◽  
Dong Xiang ◽  
Yuanpeng Wu ◽  
Chunxia Zhao ◽  
...  

Sensors ◽  
2019 ◽  
Vol 19 (12) ◽  
pp. 2661 ◽  
Author(s):  
Marco Maurizi ◽  
Janko Slavič ◽  
Filippo Cianetti ◽  
Marko Jerman ◽  
Joško Valentinčič ◽  
...  

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.


2020 ◽  
Vol 111 (9-10) ◽  
pp. 2971-2986 ◽  
Author(s):  
Gianni Stano ◽  
Attilio Di Nisio ◽  
Anna Maria Lanzolla ◽  
Mattia Ragolia ◽  
Gianluca Percoco

Abstract Nowadays, a challenging scenario involving additive manufacturing (AM), or 3D printing, relates to concerns on the manufacturing of electronic devices. In particular, the possibility of using fused filament fabrication (FFF) technology, which is well known for being very widespread and inexpensive, to fabricate structures with embedded sensing elements, is really appealing. Several researchers in this field have highlighted the high electrical resistance values and variability in 3D-printed strain sensors made via FFF. It is important to find a way to minimize the electrical resistance and variability among strain sensors printed under the same conditions for several reasons, such as reducing the measurement noise and better balancing four 3D-printed strain gauges connected to form a Wheatstone bridge to obtain better measurements. In this study, a design of experiment (DoE) on 3D-printed strain gauges, studying the relevance of printing and design parameters, was performed. Three different commercial conductive materials were analyzed, including a total of 105 printed samples. The output of this study is a combination of parameters which allow both the electrical resistance and variability to be minimized; in particular, it was discovered that the “welding effect” due to the layer height and printing orientation is responsible for high values of resistance and variability. After the optimization of printing and design parameters, further experiments were performed to characterize the sensitivity of each specimen to mechanical and thermal stresses, highlighting an interesting aspect. A sensible variation of the electrical resistance at room temperature was observed, even if no stress was applied to the specimen, suggesting the potential of exploiting these materials for the 3D printing of highly sensitive temperature sensors.


2017 ◽  
Vol 2 (3) ◽  
pp. 035001 ◽  
Author(s):  
Xinda Li ◽  
Mohammad Mahdi Honari ◽  
Yiyang Fu ◽  
Amit Kumar ◽  
Hossein Saghlatoon ◽  
...  

2007 ◽  
Author(s):  
Stephan Rapp ◽  
Lae-Hyong Kang ◽  
Uwe C. Mueller ◽  
Jae-Hung Han ◽  
Horst Baier

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Michael R. Crump ◽  
Sophia L. Bidinger ◽  
Felippe J. Pavinatto ◽  
Alex T. Gong ◽  
Robert M. Sweet ◽  
...  

AbstractState-of-the-art tissue analogues used in high-fidelity, hands-on medical simulation modules can deliver lifelike appearance and feel but lack the capability to provide quantified, real-time assessment of practitioner performance. The monolithic fabrication of hybrid printed/textile piezoresistive strain sensors in a realistic Y/V plasty suture training pad is demonstrated. A class of 3D-printable organogels comprised of inexpensive and nonhazardous feedstocks is used as the sensing medium, and conductive composite threads are used as the electrodes. These organogels are comprised of a glycol-based deep-eutectic solvent (DES) serving as the ionic conductor and 3-trimethoxysilylmethacrylate-capped fumed silica particles serving as the gelating agent. Rheology measurements reveal the influence of fumed silica particle capping group on the mixture rheology. Freestanding strain sensors demonstrate a maximum strain amplitude of 300%, negligible signal drift, a monotonic sensor response, a low degree of hysteresis, and excellent cyclic stability. The increased contact resistance of the conductive thread electrodes used in place of wire electrodes do not make a significant impact on sensor performance. This work showcases the potential of these organogels utilized in sensorized tissue analogues and freestanding strain sensors for widespread applications in medical simulation and education.


2018 ◽  
Vol 123 (2) ◽  
pp. 024501 ◽  
Author(s):  
Md Taibur Rahman ◽  
Russell Moser ◽  
Hussein M. Zbib ◽  
C. V. Ramana ◽  
Rahul Panat

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