Hostname: page-component-78c5997874-mlc7c Total loading time: 0 Render date: 2024-11-15T15:20:51.403Z Has data issue: false hasContentIssue false

The fatigue failure analysis and fatigue life prediction model of FV520B-I as a function of surface roughness in HCF regime

Published online by Cambridge University Press:  05 January 2017

Jin-long Wang
Affiliation:
School of Mechanical Engineering, Dalian University of Technology, Dalian 116023, People’s Republic of China
Yuan-liang Zhang*
Affiliation:
School of Mechanical Engineering, Dalian University of Technology, Dalian 116023, People’s Republic of China
Qing-chen Zhao
Affiliation:
School of Mechanical Engineering, Dalian University of Technology, Dalian 116023, People’s Republic of China
Min Zhang
Affiliation:
School of Mechanical Engineering, Dalian University of Technology, Dalian 116023, People’s Republic of China
Ze-ming Guan
Affiliation:
School of Mechanical Engineering, Dalian University of Technology, Dalian 116023, People’s Republic of China
Hui-tian Lu
Affiliation:
College of Engineering, South Dakota State University, Brookings, SD 57007-0001
*
a) Address all correspondence to this author. e-mail: [email protected]
Get access

Abstract

The high-cycle fatigue (HCF) behavior is significantly affected by surface roughness, especially for high strength metal FV520B-I. However, with surface roughness effect, neither the fatigue property, nor the high-cycle fatigue life model about FV520B-I with surface roughness has been reported. In this paper, designed fatigue experiment using the specimen with different surface roughness is presented to study the effectiveness of the roughness to the fatigue. The observations of the fatigue crack initiation sites and the crack propagation. Then the high cycle fatigue behavior of FV520B-I affected by surface roughness is analyzed. The existing very-high-cycle fatigue life model is not well-fit for high-cycle fatigue model of FV520B-I. A NEW high-cycle fatigue life prediction model of FV520B-I, taking surface roughness as a main effective variable is proposed. The model is built up by a comprehensive use of experimental data and the traditional fatigue modeling theory. The new finding between the fatigue strength coefficient and stress amplitude, with surface roughness, is adopted, leading to a NEW modified life prediction model. Study on fatigue model of FV520B-I with surface roughness is a very beneficial effort in fatigue theory and fatigue engineering development.

Type
Articles
Copyright
Copyright © Materials Research Society 2017 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

Contributing Editor: Jürgen Eckert

References

REFERENCES

Farzad, A., Mohamadreza, A., and Jamshid, A.: Effects of surface quality and loading history on fatigue life of laser-machined poly(methyl methacrylate). Mater. Des. 65, 473481 (2015).Google Scholar
Zhang, M., Wang, W.Q., Wang, P.F., Liu, Y., and Li, J.F.: The fatigue behavior and mechanism of FV520B-I with large surface roughness in a very high cycle regime. Eng. Failure Anal. 66, 432444 (2016).Google Scholar
Wang, J.L., Zhang, Y.L., Liu, S.J., Sun, Q.C., and Lu, H.T.: Competitive giga-fatigue life analysis owing to surface defect and internal inclusion for FV520B-I. Int. J. Fatigue 87, 203209 (2016).CrossRefGoogle Scholar
Wang, J.L., Zhang, Y.L., Sun, Q.C., Liu, S.J., Shi, B.W., and Lu, H.T.: Giga-fatigue life prediction of FV520B-I with surface roughness. Mater. Des. 89, 10241038 (2016).CrossRefGoogle Scholar
Zhang, M., Wang, W.Q., Wang, P.F., Liu, Y., and Li, J.F.: Fatigue behavior and mechanism of FV520B-I in ultrahigh cycle regime. Procedia Mater. Sci. 3, 20352041 (2014).Google Scholar
Mao, J.M., Liu, W.C., Li, Y.L., Wei, G.L., Zhang, L., Zou, W.B., Tian, Y., and Wu, G.H.: Influence of different casting processes on high cycle fatigue behavior of Mg–10Gd–3Y–0.5Zr alloy. J. Mater. Res. 31, 25382548 (2016).CrossRefGoogle Scholar
Song, Y.N., Xing, Z.G., Wang, H.D., He, P.F., and Xu, B.S.: Very high cycle bending fatigue behaviors of FV520B steel under fretting wear. J. Mater. Res. 31, 17481754 (2016).CrossRefGoogle Scholar
Jin, D., Li, J.H., and Shao, N.: The effect of dynamic strain aging on fatigue property for 316L stainless steel. J. Mater. Res. 31, 627634 (2016).CrossRefGoogle Scholar
Lv, Y.T., Hu, M., Wang, L.Q., Xu, X.Y., Han, Y.F., and Lu, W.J.: Influences of heat treatment on fatigue crack growth behavior of NiAl bronze (NAB) alloy. J. Mater. Res. 30, 30413048 (2015).CrossRefGoogle Scholar
Jiang, L.K., Liu, W.C., Li, Y.L., Wu, G.H., and Ding, W.J.: High cycle fatigue behavior of different regions in a low-pressure sand-cast GW103K magnesium alloy component. J. Mater. Res. 29, 25872595 (2014).CrossRefGoogle Scholar
Murakami, Y., Kodama, S., and Konuma, S.: Quantitative evaluation of effects of non-metallic inclusions on fatigue strength of high strength steels. I: Basic fatigue mechanism and evaluation of correlation between the fatigue fracture stress and the size and location of non-metallic inclusions. Int. J. Fatigue 11, 291298 (1989).CrossRefGoogle Scholar
Murakami, Y. and Endo, M.: Quantitative evaluation of fatigue strength of metals containing various small defects of cracks. Eng. Fract. Mech. 17, 115 (1983).Google Scholar
Murakami, Y.: Metal Fatigue-effects of Small Defects and Nonmetallic Inclusions, Vol. 6–7 (Elsevier, Amsterdam, 2002); pp. 314316.Google Scholar
Sun, Z. and Qian, Y.K.: Failure analysis for the early fatigue fracture of major axle of slurry pump. Heat Treat. Met. 5, 3234 (2000).Google Scholar
As, S.K., Kallerud, B., Tveten, B.W., and Holme, B.: Fatigue life prediction of machined components using finite element analysis of surface topography. Int. J. Fatigue 27, 15901596 (2005).CrossRefGoogle Scholar
Andrews, S. and Sehitoglu, H.: Acomputer model for fatigue crack growth form rough surface. Int. J. Fatigue 22, 619630 (2000).CrossRefGoogle Scholar
Wang, H. and Gao, Q.: Effect of load frequency on fatigue behavior of material in ultrasonic fatigue testing. Part: A Phys. Test 41, 433435 (2005).Google Scholar