Design and FEM Analysis of Miniature Torque Sensor for Finger Exoskeleton

Author(s):  
Faryal Gula ◽  
Hammad Munawar ◽  
Amir Hamza
Keyword(s):  
Author(s):  
F. Jia ◽  
X. Fu ◽  
X.S. Wang ◽  
D. Huang
Keyword(s):  

2009 ◽  
Vol PIER 98 ◽  
pp. 407-423 ◽  
Author(s):  
Hassan Moradi ◽  
Ebrahim Afjei ◽  
Faramarz Faghihi

2001 ◽  
Vol 84 (9) ◽  
pp. 20-27 ◽  
Author(s):  
Aleš Nevařil ◽  
Jiří Kytýr

2019 ◽  
pp. 37-42
Author(s):  
V.V. Gerashchenko ◽  
◽  
V.P. Loubach ◽  
N.A. Kovalenko ◽  
◽  
...  
Keyword(s):  

ROBOT ◽  
2011 ◽  
Vol 33 (4) ◽  
pp. 449-454 ◽  
Author(s):  
Chuangqiang GUO ◽  
Fenglei NI ◽  
Jingting SUN ◽  
Hong LIU

2017 ◽  
Vol 53 (2) ◽  
pp. 329-340 ◽  
Author(s):  
A. Alemany ◽  
R. Forcinetti ◽  
F. Masson ◽  
A. Montisci
Keyword(s):  

Measurement ◽  
2021 ◽  
pp. 109252
Author(s):  
Chao Zhang ◽  
Zhipeng Li ◽  
Jie Chen ◽  
Feng Qiu ◽  
Shaodan Na
Keyword(s):  

Materials ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 3927
Author(s):  
Joanna Taczała ◽  
Katarzyna Rak ◽  
Jacek Sawicki ◽  
Michał Krasowski

The creation of acrylic dentures involves many stages. One of them is to prepare the surfaces of artificial teeth for connection with the denture plates. The teeth could be rubbed with a chemical reagent, the surface could be developed, or retention hooks could be created. Preparation of the surface is used to improve the bond between the teeth and the plate. Choosing the right combination affects the length of denture use. This work focuses on a numerical analysis of grooving. The purpose of this article is to select the shape and size of the grooves that would most affect the quality of the bond strength. Two types of grooves in different dimensional configurations were analyzed. The variables were groove depth and width, and the distance between the grooves. Finally, 24 configurations were obtained. Models were analyzed in terms of their angular position to the loading force. Finite element method (FEM) analysis was performed on the 3D geometry created, which consisted of two polymer bodies under the shear process. The smallest values of the stresses and strains were characterized by a sample with parallel grooves with the grooving dimensions width 0.20 mm, thickness 0.10 mm, and distance between the grooves 5.00 mm, placed at an angle of 90°. The best dimensions from the parallel (III) and cross (#) grooves were compared experimentally. Specimens with grooving III were not damaged in the shear test. The research shows that the shape of the groove affects the distribution of stresses and strains. Combining the selected method with an adequately selected chemical reagent can significantly increase the strength of the connection.


Sensors ◽  
2021 ◽  
Vol 21 (12) ◽  
pp. 4221
Author(s):  
Roshan Joseph ◽  
Hanfei Mei ◽  
Asaad Migot ◽  
Victor Giurgiutiu

Acoustic waves are widely used in structural health monitoring (SHM) for detecting fatigue cracking. The strain energy released when a fatigue crack advances has the effect of exciting acoustic waves, which travel through the structures and are picked up by the sensors. Piezoelectric wafer active sensors (PWAS) can effectively sense acoustic waves due to fatigue-crack growth. Conventional acoustic-wave passive SHM, which relies on counting the number of acoustic events, cannot precisely estimate the crack length. In the present research, a novel method for estimating the crack length was proposed based on the high-frequency resonances excited in the crack by the energy released when a crack advances. In this method, a PWAS sensor was used to sense the acoustic wave signal and predict the length of the crack that generated the acoustic event. First, FEM analysis was undertaken of acoustic waves generated due to a fatigue-crack growth event on an aluminum-2024 plate. The FEM analysis was used to predict the wave propagation pattern and the acoustic signal received by the PWAS mounted at a distance of 25 mm from the crack. The analysis was carried out for crack lengths of 4 and 8 mm. The presence of the crack produced scattering of the waves generated at the crack tip; this phenomenon was observable in the wave propagation pattern and in the acoustic signals recorded at the PWAS. A study of the signal frequency spectrum revealed peaks and valleys in the spectrum that changed in frequency and amplitude as the crack length was changed from 4 to 8 mm. The number of peaks and valleys was observed to increase as the crack length increased. We suggest this peak–valley pattern in the signal frequency spectrum can be used to determine the crack length from the acoustic signal alone. An experimental investigation was performed to record the acoustic signals in crack lengths of 4 and 8 mm, and the results were found to match well with the FEM predictions.


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