A Novel Prediction Model for Fatigue Strength

doi:10.16183/j.cnki.jsjtu.2021.051

Abstract

Abstract:

Fatigue failure is one of the most important reasons for the failure of engineering application components. However, due to the high cost of fatigue experiments, it is necessary to use mechanical properties to predict fatigue strength. Based on the true stress-strain curves, a novel model for fatigue strength prediction is established and is used to calculate the fatigue strength. The strength predicted is compared with that calculated by the staircase method and the Basquin equation. The results show that the model could obtain the fatigue strength of the materials only by using tensile strength and work-hardening strength, and it is suitable for other steels, which greatly saves costs and increases accuracy.

Key words: fatigue strength prediction model, true stress-strain curve, Basquin equation, fatigue strength parameters

CLC Number:

DUAN Hongyan, TANG Guoxin, SHENG Jie, CAO Mengjie, PEI Lei, TIAN Hongwei. A Novel Prediction Model for Fatigue Strength[J]. Journal of Shanghai Jiao Tong University, 2022, 56(6): 801-808.

Figures/Tables 15

Tab.1

Fig.1

Tab.2

Tab.3

Tab.4

Fig.2

Fig.3

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Tab.5

Summary of the relationship between fatigue strength parameters and mechanical properties

σ'_f/MPa	b	公式	文献
σ'_f=2.5 $H V + 120 S i n 16$	b=- $148$	(11)	[18]
σ'_f= 1.12 $(H V + 120) 98 S i n 18$	b= $13$ lg $1.35 (H V + 120) 116 S i n 148$	(12)	[19]
σ'_f=α+βσ_b	b= $C, σ b < σ b c φ + ϕ σ b, σ b ≥ σ b c$	(13)	[20]

Tab.5

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Tab.6

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Fig.9

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元素	质量分数/%
C	0.054
Mn	0.79
S	0.002
P	0.034
Si	0.42
Cr	17.27
Ni	8.14

实验件序号	S_i/MPa	失效	未失效
2	200		√
7	210		√
10	210	√
4	220		√
6	220	√
8	230	√

实验件序号	S_i/MPa	失效	未失效
6	420		√
1	440		√
7	440		√
5	440	√
3	460	√
4	460	√

实验件序号	S_i/MPa	失效	未失效
3	450		√
10	470	√
11	470		√
4	490		√
7	490	√
6	490	√

试件	σ_b/MPa	σ_s/MPa	σ'_f/MPa	b	σ_w(Exp)/MPa	σ_w(Cal)/MPa	误差/%
A	730	303	322.99	-0.0271	215	208.68	-2.94
B	886	770	689.41	-0.0295	443	428.53	-3.27
C	962	925	835.66	-0.0373	480	458.07	-4.57