基于Gerber模型的DFR腐蚀折算系数及其试验测定

doi:10.11896/cldb.18050310

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Abstract In order to extend the applicability of the new DFR method to corrosion conditions, via transfer the influence of corrosion environment on fatigue life to the DFR equivalently, the DFR method based on Gerber model under corrosive environment for fatigue analysis was established, and the decomposition of DFR-corrosion-influence-factors enables this method to study the effect of ground-corrosion-influence and air-corrosion-fatigue-influence on DFR independently. The ground-corrosion-influence-factor of 2024-T3 aluminum alloy was determined by nine different pre-corrosion fatigue tests. Under normal conditions and corrosion conditions, the calculation results of the DFR method based on Goodman model and Gerber model were compared. Results show that as the pre-corrosion time increases, the DFR_cutoff of 2024-T3 aluminum alloy decreases; the DFR_cutoff based on Gerber model are 84.251 MPa, 84.722 MPa, 79.683 MPa, 80.745 MPa, 77.026 MPa, 74.996 MPa, 75.613 MPa, 76.186 MPa and 73.798 MPa respectively, and the ground-corrosion-influence-factor is 1, 1.006, 0.946, 0.958, 0.914, 0.890, 0.897, 0.904, 0.876 the fitting curve of the DFR_cutoff with the pre-corrosion time is DFR_cutoff=84.521[lg(t+10)]^{-0.149 8}. Calculating found under the condition of neglecting the influence of corrosions when N_95/95>10⁵ cycle, under the condition of considering the influence of corrosions when N₁>10⁵ cycle, the calculation results of DFR method based on Gerber model is greater than that of DFR method based on Goodman model.

Key words： pre-corrosive fatigue test detail fatigue rating (DFR) corrosion-influence-factor

Published: 12 July 2019

CLC number:

V252.2

Fund:This work was financially supported by the National Natural Science Foundation of China (51375490).

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	Articles by authors
	CHEN Yueliang
	WU Xingjun
	BIAN Guixue
	ZHANG Yong
	WANG Andong
	HUANG Hailiang
	ZHANG Zhuzhu

Cite this article:

CHEN Yueliang,WU Xingjun,BIAN Guixue, et al. Theoretical and Experimental Determination of DFR-corrosion-influence-factors Based on Gerber Model[J]. Materials Reports, 2019, 33(16): 2793-2798.

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http://www.mater-rep.com/EN/10.11896/cldb.18050310 OR http://www.mater-rep.com/EN/Y2019/V33/I16/2793

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