Giga-fatigue life prediction of FV520B-I with surface roughness

Wang, Jinlong; Zhang, Yuanliang; Sun, Qingchao; Liu, Shujie; Shi, Baohui; Lu, Huitian

doi:10.1016/j.matdes.2015.10.104

Cited by 38 publications

(23 citation statements)

References 22 publications

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“…The analytic formulation of the crack initiation life Ni was presented by Tanaka and Mura [9,10] and was based on the dislocation dipole accumulation model. It was extended to estimate the crack initiation life Ni of the specimen with the different surface roughness by Wang et al [12]. It is [9][10][11][12]: Figure 8.…”

Section: Fatigue Life Estimationmentioning

confidence: 99%

“…Therefore, the method has been reported where the surface groove due to machining was considered to be an initial micro-defect. The analytic formulation of the crack initiation life N i can be estimated based on the dislocation dipole accumulation model [9][10][11] and the crack propagation life N p can calculated using the analytic solution of Paris' law integral [12][13][14]. Since the reported method has been validated by six types of ultra-high strength steel [11] and high-strength martensitic stainless steel [12], it will be employed to estimate the fatigue life of medium-carbon steel with the different surface roughness in this paper.…”

Section: Introductionmentioning

confidence: 99%

“…The analytic formulation of the crack initiation life N i can be estimated based on the dislocation dipole accumulation model [9][10][11] and the crack propagation life N p can calculated using the analytic solution of Paris' law integral [12][13][14]. Since the reported method has been validated by six types of ultra-high strength steel [11] and high-strength martensitic stainless steel [12], it will be employed to estimate the fatigue life of medium-carbon steel with the different surface roughness in this paper. The remainder of this paper is organized as follows: In Section 2, the material, the specimen geometry, and the testing apparatus will be described, the scatterplot of the fatigue experiment results shown, and the mean fatigue life of the specimens with different average surface roughness contrasted.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Fatigue Life Estimation of Medium-Carbon Steel with Different Surface Roughness

Dai

Duan

et al. 2017

Applied Sciences

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Medium-carbon steel is commonly used for the rail, wire ropes, tire cord, cold heading, forging steels, cold finished steel bars, machinable steel and so on. Its fatigue behavior analysis and fatigue life estimation play an important role in the machinery industry. In this paper, the estimation of fatigue life of medium-carbon steel with different surface roughness using established S-N and P-S-N curves is presented. To estimate the fatigue life, the effect of the average surface roughness on the fatigue life of medium-carbon steel has been investigated using 75 fatigue tests in three groups with average surface roughness (R a ): 0.4 µm, 0.8 µm, and 1.6 µm, respectively. S-N curves and P-S-N curves have been established based on the fatigue tests. The fatigue life of medium-carbon steel is then estimated based on Tanaka-Mura crack initiation life model, the crack propagation life model using Paris law, and material constants of the S-N curves. Six more fatigue tests have been conducted to validate the presented fatigue life estimation formulation. The experimental results have shown that the presented model could estimate well the mean fatigue life of medium-carbon steel with different surface roughness.

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Section: Fatigue Life Estimationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Fatigue Life Estimation of Medium-Carbon Steel with Different Surface Roughness

Dai

Duan

et al. 2017

Applied Sciences

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“…The formulation was based on the dislocation dipole accumulation model. On this basis, Wang et al [27] presented the formula of N i for a specimen with different surface roughness in References [25][26][27][28]:…”

Section: Fatigue Life Estimation Based On Dislocation Dipole Accumulamentioning

confidence: 99%

Statistical Analysis and Fatigue Life Estimations for Quenched and Tempered Steel at Different Tempering Temperatures

Duan³

et al. 2017

Metals

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Abstract:In this paper, the statistical properties and fatigue life estimations of 0.44% carbon steel at different tempering temperatures are presented. The specimens were austenized at 900 • C for 10 min, quenched in water, tempered at different temperatures, and then machined to the design geometry and average surface roughness of R a = 0.4 µm. The effect of tempering temperature on the fatigue life of 0.44% carbon steel was investigated using 75 fatigue tests, divided into three groups at temperatures 500 • C, 600 • C, and 700 • C. S-N and P-S-N curves were established. Two methods of estimating the mean fatigue life are presented. One is based on dislocation dipole accumulation and Paris' law; another is based on the kriging model. Six more fatigue tests were carried out to validate the presented methods. Test results showed that the first method is superior to the second in terms of estimating accuracy from the validation datum. However, the second method could estimate the mean fatigue life of quenched and tempered 0.44% carbon steel with an average surface roughness of R a = 0.4 µm when the tempering temperature was set to a value other than 500 • C, 600 • C, or 700 • C, with no additional fatigue test needed.

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“…FV520B-I has been widely applied in the manufacturing of all different kinds of large-scale mechanical equipment [1][2] and the core mechanical parts for its numerous good mechanical properties. Its fatigue life generally required to reach or over 10 7 cycles, which implies that the main factor causing the very-high cycle fatigue failure is the internal inclusion.…”

Section: Introductionmentioning

confidence: 99%

The VHCF experimental investigation of FV520B-I with surface roughness Ry

Wang

Zhang

Ding

et al. 2018

IOP Conf. Ser.: Mater. Sci. Eng.

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Different surface roughness type (Ra and Ry) has different effect on the VHCF failure and life. Ra is widely employed as the quantitative expression of the surface roughness, but there are few fatigue failure mechanism analysis and experimental study under surface roughness Ry. The VHCF experiment is conducted out using the specimen with different surface roughness values. The surface roughness Ry is employed as the major research object to investigate the relationship and distribution tendency between the Ry, fatigue life and the distance between internal inclusion and surface, and a new VHCF failure character is proposed. IntroductionFV520B-I has been widely applied in the manufacturing of all different kinds of large-scale mechanical equipment [1-2] and the core mechanical parts for its numerous good mechanical properties. Its fatigue life generally required to reach or over 10 7 cycles, which implies that the main factor causing the very-high cycle fatigue failure is the internal inclusion. However, the poor working condition always results in the deterioration of the surface quality during the working process. It has been adopted that the bad surface quality (that is big surface roughness value) will weaken the fatigue property to resist fatigue failure especially the fatigue strength of the material, especially the deep groove of the surface will affect the VHCF fatigue life. Different surface roughness type (Ra and Ry) has different effect on the VHCF failure and life, such as: the surface roughness can change the stress distribution of the specimen to affect internal failure sites that is the internal inclusion location.Quite a few theories have been proposed based on the investigation of fatigue failure caused by surface roughness. Stenberg [3] investigates the influence of the surface quality to the fatigue strength. Different codes and design recommendations are provided to improve the fatigue strength of high strength steel S700 and S960. Lacerda [4] studied the effectiveness of the evolution of surface roughness to the fatigue strength under different loads and fatigue life, and the relationship between these parameters can be determined according to this study. Li [5] focuses on the fatigue life estimation with different surface roughness, S-N curves and P-S-N curves are presented in this study, and crack initiation life and crack propagation life are estimated based on the classic fatigue life model. Silva and Bagehorn [6] study the influence of surface roughness on the fatigue property of titanium alloy, it was found that the small differences of surface roughness will result in the big reduction of the fatigue strength. And the effectiveness of each treatment to the fatigue property is analyzed in detail. Zhang [4] carried out a investigation about the influence of surface roughness to VHCF life, the relationship between surface roughness and fatigue life is proposed.Generally, Ra is widely employed as the quantitative expression of the surface roughness. But Ra means the average val...

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Giga-fatigue life prediction of FV520B-I with surface roughness

Cited by 38 publications

References 22 publications

Fatigue Life Estimation of Medium-Carbon Steel with Different Surface Roughness

Fatigue Life Estimation of Medium-Carbon Steel with Different Surface Roughness

Statistical Analysis and Fatigue Life Estimations for Quenched and Tempered Steel at Different Tempering Temperatures

The VHCF experimental investigation of FV520B-I with surface roughness Ry

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