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Experimental investigation and quantitative prediction in interference-fit size of CFRP riveted joints under a transversal ultrasonic vibration-assisted riveting.
Wang, Xingxing; Shi, Yunyang; Pan, Haicheng; Chen, Yegao.
Afiliação
  • Wang X; College of Mechanical and Electrical Engineering, Suqian University, Suqian No. 399, Sucheng District, Huanghe Street, Suqian, 223800, China. wangxx@squ.edu.cn.
  • Shi Y; College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, China. wangxx@squ.edu.cn.
  • Pan H; College of Mechanical and Electrical Engineering, Suqian University, Suqian No. 399, Sucheng District, Huanghe Street, Suqian, 223800, China.
  • Chen Y; College of Mechanical and Electrical Engineering, Suqian University, Suqian No. 399, Sucheng District, Huanghe Street, Suqian, 223800, China.
Sci Rep ; 13(1): 14408, 2023 Sep 02.
Article em En | MEDLINE | ID: mdl-37660225
ABSTRACT
In this study, a transversal ultrasonic vibration-assisted riveting (TUVAR) process was developed to improve the uniformity of CFRP riveted lap joint interference-fit size, which provided a possibility for the quantization of riveted joint interference-fit sizes. The relationship between the process parameters of vibration amplitude, vibration duration, and roughness with interference-fit sizes by algorithms, through the minimum coefficient variance of interference-fit size (ICV-min) to confirm the riveting process parameters of the quantized average interference-fit sizes (IA). The experimental verification results showed that the mean absolute percentage error of measured IA and predicted IA is less than 10%. Furthermore, the tensile tests were carried out to investigate the effect of interference-fit size {1.4%, 1.6%, 1.8%, and 2.0%} on mechanical performances of CFRP riveted lap joints by TUVAR, and the tensile strength presents first-up then down with the interference-fit size increase, the maximum ultimate tensile strength is the riveted lap joint with the interference-fit size of 2.0%. Hence, the quantitative optimization method can well predict the riveting process parameters corresponding to the most uniform interference-fit size.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article