Dynamic balance optimization design of fascia gun crank slider integrating TRIZ and Adams

Hui Zhu; Linwei Yu; Danyan Zhang; Fengming Cao

doi:10.1117/12.2679354

18 July 2023 Dynamic balance optimization design of fascia gun crank slider integrating TRIZ and Adams

Hui Zhu, Linwei Yu, Danyan Zhang, Fengming Cao

Proceedings Volume 12722, Third International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2023); 1272227 (2023) https://doi.org/10.1117/12.2679354
Event: International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2023), 2023, Hangzhou, China

Abstract

In order to resolve the problem of vibration and noise caused by the crank and slider mechanism of the fascia gun during high-speed operation, the substance-field model in the theory of inventive problem solving (TRIZ) was used to decompose the function of the crank and slider mechanism. Innovative ideas were proposed in combination with 76 standard solutions to identify the objects that needed to be optimized and improved. Then, applying the relevant theory of classical mechanics, the specific parameters that needed to be improved for the optimization of the object were obtained by the analytical method. Then, the multi-body dynamics analysis software Adams was used to build a virtual digital prototype model. In order to minimize the disturbance force on the rotating pair connected to the motor shaft and the crank, the multi-parameter optimization design was carried out, and the optimal design scheme was solved. Finally, the physical prototype based on the optimization scheme was tested. The test results showed that the vibration acceleration of the prototype in the reciprocating direction of the massage head was reduced by 76%, and the noise level of the whole machine was reduced by 55%.

Citation Download Citation

Hui Zhu, Linwei Yu, Danyan Zhang, and Fengming Cao "Dynamic balance optimization design of fascia gun crank slider integrating TRIZ and Adams", Proc. SPIE 12722, Third International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2023), 1272227 (18 July 2023); https://doi.org/10.1117/12.2679354

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