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Research on the Influence of the Assembly Parameters of the Junction Surface of Ultrasonic Acoustic Components on the Acoustic Performance Parameters.

Authors :
Ye, Hongxian
Huang, Xiangkui
Hu, Xiaoping
Yu, Baohua
Source :
Machines; Nov2022, Vol. 10 Issue 11, p980, 18p
Publication Year :
2022

Abstract

The core of the ultrasonic machining system is the acoustic vibration component. Due to the inconsistency of the assembly conditions between the junction surfaces of the acoustic vibration component, the resonant frequency of the ultrasonic acoustic vibration component after the size adjustment of the ultrasonic horn is low, and the Impedance mismatch occurs in the ultrasonic system. In this paper, considering the influence of assembly conditions, the optimal assembly parameters were studied to reduce the junction surface's influence on the ultra-sonic horn's performance parameters. The paper analyzed the assembly structure, assembly parameters, and static and dynamic performance parameters of the acoustic vibration components and established a static and dynamic performance parameter measurement system. The assembly parameters of the ultrasonic acoustic vibration components were analyzed and determined. The static performance parameters of the ultrasonic acoustic components were measured and analyzed for the assembly parameters of the junction surface at the ultrasonic horn and the straight-edged knife. The optimal assembly parameters were preliminarily determined based on the analysis of the static performance parameters. The optimal assembly parameters of the junction surface of the ultrasonic horn and the straight-edged knife were determined through the measurement and analysis of the dynamic performance parameters of the two junction surfaces. The work is the basis for the adjustment of the ultrasonic horn. It also provides a basis for improving the working performance, manufacturing precision, and production efficiency of the ultrasonic horn while further popularizing the application of ultrasonic processing. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20751702
Volume :
10
Issue :
11
Database :
Complementary Index
Journal :
Machines
Publication Type :
Academic Journal
Accession number :
160231213
Full Text :
https://doi.org/10.3390/machines10110980