A Study on Improvements in Multiaxial Stress Analysis with Area Detector Type Diffraction Method

Sasaki, Toshihiko; Takahashi, Shohei; Sasaki, Kengo; Kobayashi, Yuichi

doi:10.1299/kikaia.75.219

Cited by 18 publications

(28 citation statements)

References 14 publications

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“…In the above two equations, it is noteworthy that only the residual normal stress σ ϕ can be determined by using the sin 2 ψ method. In order to obtain the residual shear stress, the cosα measurement technology proposed by Taria et al [19] and modified by Sasaki et al [20] was utilized. The relationship between the strain ε α and the stress components in x−y−z coordinates can be expressed by Equation (3):…”

Section: Residual Shear and Normal And Stresses Calculationmentioning

confidence: 99%

“…where τ xy , τ yz , and τ zx represent the shear stresses. n 1 , n 2 , and n 3 are the components of diffraction vector n as shown in Figure 2 and can be obtained by Equation (4) [20]:…”

Section: Residual Shear and Normal And Stresses Calculationmentioning

confidence: 99%

“…However, the residual shear stress is not taken into account to evaluate the effect of residual stress on fatigue life in Equations (20) and (21). As analyzed in Section 1, residual shear stress is produced during machining, and it should be considered when determining the equivalent stress.…”

Section: Modeling For Stress Intensity Factormentioning

confidence: 99%

“…It can be deduced that fatigue life will not be changed when residual stress is introduced by machining. Thus, Equation (20), proposed by Moussaoui et al [16,17], may not be suitable to describe the effect of residual stress on the SIF range. Consequently, in this paper, a new effective stress range Δσ ' eff is introduced by Equation (27):…”

Section: Modeling For Stress Intensity Factormentioning

confidence: 99%

See 3 more Smart Citations

Effects of Machining Induced Residual Shear and Normal Stresses on Fatigue Life and Stress Intensity Factor of Inconel 718

Hua

Wang

2019

Applied Sciences

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Residual shear stresses and normal stresses induced by machining affect the fatigue performance of components. Thus, residual shear and normal stresses should be considered simultaneously when evaluating the influence of residual stress on fatigue performance. In the present paper, the influences of residual shear and normal stresses on the fatigue life and stress intensity factor (SIF) of turned Inconel 718 were investigated. Firstly, the cos α measurement method was utilized to calculate the residual shear stress and residual normal stress of turned Inconel 718. Then, the combined effects of residual shear and normal stresses on fatigue life were evaluated through uniaxial tension–tension fatigue tests. Thirdly, a prediction model for the SIF was proposed by taking the residual shear and normal stresses into account. Finally, the predicted SIF was validated by the published experimental data from the literature. The predicted results of the proposed model generally agreed well with the available experimental data.

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Section: Residual Shear and Normal And Stresses Calculationmentioning

confidence: 99%

“…where τ xy , τ yz , and τ zx represent the shear stresses. n 1 , n 2 , and n 3 are the components of diffraction vector n as shown in Figure 2 and can be obtained by Equation (4) [20]:…”

Section: Residual Shear and Normal And Stresses Calculationmentioning

confidence: 99%

Section: Modeling For Stress Intensity Factormentioning

confidence: 99%

Section: Modeling For Stress Intensity Factormentioning

confidence: 99%

See 2 more Smart Citations

Effects of Machining Induced Residual Shear and Normal Stresses on Fatigue Life and Stress Intensity Factor of Inconel 718

Hua

Wang

2019

Applied Sciences

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“…Additional details of this method are given in Ref. [32,33]. The measurement conditions were the same as those in Ref.…”

Section: Residual Stress Measurementmentioning

confidence: 99%

Estimation Method of Micropitting Life from <i>S</i>-<i>N</i> Curve Established by Residual Stress Measurements and Numerical Contact Analysis

et al. 2019

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Micropitting is a type of rolling contact fatigue (RCF) associated with rough surfaces and severe lubrication conditions. In the present study, we developed an estimation method for micropitting life. An S-N curve, which is a relationship between micropitting life and stresses acting in the region affected by surface asperities (near-surface stress), is established by using data from RCF tests and estimated histories of near-surface stresses (stress history). Changes in the surface topography and residual stresses including the initial condition are measured in order to estimate the stress history. This enables us to consider the influences of surface topography and residual stresses on micropitting. Micropitting life under an arbitrary operating condition is estimated from the established S-N curve and the estimated stress history up to a finite cycle. It is revealed that micropitting life can be accurately estimated from the established S-N curve within the range of our experiment. The median, minimum, and maximum of the relative life ratio (ratio of actual micropitting life to the estimated life) were 0.89, 0.49, and 1.82, respectively. Further analysis confirms that the accuracy is improved by considering residual stresses.

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X-ray tri-axial stress analysis system using two monolithic SOI pixel detectors

Sasaki

Shinya

Mitsui

et al. 2020

Nuclear Instruments and Methods in Physics Research Section A:

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A Study on Improvements in Multiaxial Stress Analysis with Area Detector Type Diffraction Method

Cited by 18 publications

References 14 publications

Effects of Machining Induced Residual Shear and Normal Stresses on Fatigue Life and Stress Intensity Factor of Inconel 718

Effects of Machining Induced Residual Shear and Normal Stresses on Fatigue Life and Stress Intensity Factor of Inconel 718

Estimation Method of Micropitting Life from <i>S</i>-<i>N</i> Curve Established by Residual Stress Measurements and Numerical Contact Analysis

X-ray tri-axial stress analysis system using two monolithic SOI pixel detectors

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