Torsional static and vibration analysis of functionally graded nanotube with bi-Helmholtz kernel based stress-driven nonlocal integral model

Bian, Pei‐Liang; Qing, Hai

doi:10.1007/s10483-021-2708-9

Cited by 15 publications

(1 citation statement)

References 47 publications

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“…Bo Zhang et al constructed a finite element model for standard PCBA boards assembled in three chip sizes, and verified the analysis results through modal tests [22]. It should be noted that the finite element model discussed in these studies is mainly a part of the entire system, while as a complex of many components, the characteristics of a system affect each other, and even the characteristics of the joint surface between components will be superimposed on the system characteristics [23][24][25][26]. Therefore, it is still a challenging task to analyze the vibration characteristics of chassis equipment at the system level.…”

Section: Literature Reviewmentioning

confidence: 99%

Vibration signal diagnosis and conditional health monitoring of motor used in biomedical applications using Internet of Things environment

Wang

Dai

Zhang

et al. 2022

The Journal of Engineering

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Vibration, especially basic vibration, may cause loose contacts, open circuits, or other contact problems, which account for a large proportion of system failure causes. Due to the complexity of the chassis structure used in the biomedical motors, the vibration analysis of a single component cannot solve the vibration problems encountered in the work of the system. Therefore, it is necessary to use system simulation and experiments to monitor and enhance the health of the structure. Finite element method is used to carry out the dynamic analysis from the component to the system, and calculate the natural frequency, modal shape and harmonic response. Then, the effectiveness and accuracy of the analysis results are verified by experiments through simulation and experiments. The results show that the measures taken have effectively reduced the vibration of the chassis equipment and improved its safety for better health safety of patients. There is just a 2% variation between the natural frequencies acquired from the experiment and the simulation computation. In terms of natural frequency, the first 6‐order natural frequencies all have errors of less than 10%, and the natural frequency error is comparable to that of fireproof board.

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Section: Literature Reviewmentioning

confidence: 99%