DOAJ Open Access 2019

DFR method based on Gerber model under corrosion conditions

CHEN Yueliang WU Xingjun LIU Xu BIAN Guixue ZHANG Yong +3 lainnya

Abstrak

In order to study the influence of the equal-life curve models on DFR, the fitting accuracies of Gerber model and Goodman model for high-cycle fatigue data were compared with six typical aviation materials.The formula of DFR based on Gerber model and the expression of corrosion conversion coefficient <i>C</i><sub>C</sub> were derived, pre-corrosion fatigue tests for 0 h, 6 h, 12 h, 24 h, 36 h, and 72 h of 2024-T3 aluminum alloy (surface anodizing) were carried out,and the fatigue fracture of pre-corrosion for 72 hours was analyzed. The results show that Goodman model is suitable for brittle materials while Gerber model is suitable for ductile materials. As the pre-corrosion time increases, the DFR of 2024-T3 aluminum alloy decreases.The DFR based on Gerber model are 84.251 MPa, 84.721 MPa, 79.683 MPa, 80.745 MPa, 77.026 MPa and 74.996 MPa respectively, and the <i>C</i><sub>C</sub> is 1.006, 0.946, 0.958, 0.914 and 0.890,the fitting curve of the DFR with the pre-corrosion time is $ DFR=84.251{\left[ {\lg \left( {t + 10} \right)} \right]^{ - 0.15578}}$. It is found that when <i>N</i><sub>95/95</sub> &gt; 10<sup>5</sup>, the DFR method based on Gerber model can give full play to the fatigue performance of ductile materials.Corrosion pits produced by pre-corrosion and inclusions in materials can accelerate the formation and expansion of fatigue cracks, but DFR of the anodized specimens is decreased in a corrosive environment compared with the bare materials.

Penulis (8)

C

CHEN Yueliang

W

WU Xingjun

L

LIU Xu

B

BIAN Guixue

Z

ZHANG Yong

W

WANG Andong

H

HUANG Hailiang

Z

ZHANG Zhuzhu

Format Sitasi

Yueliang, C., Xingjun, W., Xu, L., Guixue, B., Yong, Z., Andong, W. et al. (2019). DFR method based on Gerber model under corrosion conditions. https://doi.org/10.11868/j.issn.1005-5053.2018.000023

Akses Cepat

Informasi Jurnal
Tahun Terbit
2019
Sumber Database
DOAJ
DOI
10.11868/j.issn.1005-5053.2018.000023
Akses
Open Access ✓