Monitoring solidification of tin-bismuth alloys using FBG sensors

Khadka, S.; Predecki, Paul; Kumosa, M.; Hoffman, Joseph

doi:10.1016/j.mtla.2022.101320

Cited by 3 publications

(1 citation statement)

References 21 publications

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“…With the continuous development of fiber sensing technology, fiber Bragg grating (FBG) is more and more widely used in the field of sensing [ 8 , 9 , 10 , 11 , 12 , 13 ], which has irreplaceable advantages. First of all, optical fiber is made from silica, which has high sensitivity and accuracy, corrosion, and high temperature resistance.…”

Section: Introductionmentioning

confidence: 99%

Design and Experimental Research of Robot Finger Sliding Tactile Sensor Based on FBG

Guan

Fu²,

Xu³

2022

Sensors

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Aiming at the problem of flexible sliding tactile sensing for the actual grasp of intelligent robot fingers, a double-layer sliding tactile sensor based on fiber Bragg grating (FBG) for robot fingers is proposed in this paper. Firstly, the optimal embedding depth range of FBG in the elastic matrix of polydimethylsiloxane (PDMS) was determined through finite element analysis and static detection experiments of finger tactile sensing. Secondly, the sensor structure is optimized and designed through the simulation and dynamic experiments of sliding sensing to determine the final array structure. Thirdly, the sensing array is actually pasted on the surface of the robot finger and the sensing characteristics testing platform is built to test and analyze the basic performance of the sliding tactile sensor. Then, the sensor array is actually attached to the finger surface of the robot and the sensing characteristics testing platform is built to experiment and analyze the basic performance of the sliding tactile sensor. Finally, a sliding tactile sensing experiment of robot finger grasping is conducted. The experimental results show that the sliding tactile sensor designed in this paper has good repeatability and creep resistance, with sensitivities of 12.4 pm/N, 11.6 pm/N, and 14.5 pm/N, respectively, and the overall deviation is controlled within 5 pm. Meanwhile, it can effectively sense the signals of the robot fingers during static contact and sliding. The sensor has a high degree of fit with the robot finger structure, and has certain application value for the perception of sliding tactile signals in the object grasping of intelligent robot objects.

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