Effect of torsional pre-strain on low cycle fatigue performance of 304 stainless steel

Ji, Shengyuan; Liu, Cai‐Ming; Shi, Shouwen; Chen, Xu

doi:10.1016/j.msea.2019.01.017

Cited by 13 publications

(12 citation statements)

References 34 publications

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“…The loading Path I presents two important features, primarily, maintaining under constant shear strain for a half-cycle over which axial strain overlaps could have effects on ductility and implicitly on low cycle fatigue life. In a study conducted by Shenguyan Ji et all., [16], it is reported that the ductility decrease gradually with the increase of the shear pre-strain, instead the low cycle fatigue life is divided in three stages. Gradually increasing of the shear pre-strain determines a first stage with monotonically decreasing of fatigue life, followed by a second stage with fatigue life monotonically increasing and a third stage with decreasing the fatigue life.…”

Section: Resultsmentioning

confidence: 99%

New research findings on non-proportional low cycle fatigue

Cernescu

Pullin

2019

MATEC Web Conf.

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One of the challenges regarding multiaxial fatigue damage predictions is non-proportional loading. Relevant studies have shown that these multiaxial loadings cause significant additional hardening and reduction in durability due to non-proportionality. Fatigue life predictions due to non-proportional loadings are based on an equivalent nonproportional strain range that considers a material constant related to additional hardening and a non-proportionality factor. In this paper an analysis of the non-proportional factor for three multiaxial loadings forming a square in γ/√3 -ε coordinates is carried out. One of the observations revealed by this analysis is the sensitivity of the non-proportional factor to variable shear strain rate.1

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Section: Resultsmentioning

confidence: 99%

New research findings on non-proportional low cycle fatigue

Cernescu

Pullin

2019

MATEC Web Conf.

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“…The isotropic hardening parameters were determined from the slope of each cyclic hardening/softening curve in a saturated state. More precisely, a unique value for each case of a strain range was obtained, which was afterwards used for approximation by (18) and (19). The estimated material parameters of the proposed cyclic plasticity model are stated in Table 1.…”

Section: Cyclic Hardening Curvesmentioning

confidence: 99%

“…The yield stress was now fitted as a function of R M , using Equations (17)- (19), by finding material parameters A R , B R , and C R . Using the tensile test experimental data and performing a simulation of this test, parameter φ 0 was found using Equation (11) as an optimal value of φ for the tensile test simulation.…”

Section: Identification Of the Materials Parameters For 08ch18n10t Stamentioning

confidence: 99%

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Modeling the Strain-Range Dependent Cyclic Hardening of SS304 and 08Ch18N10T Stainless Steel with a Memory Surface

Halama

Fumfera

Gál

et al. 2019

Metals

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This paper deals with the development of a cyclic plasticity model suitable for predicting the strain range dependent behavior of austenitic steels. The proposed cyclic plasticity model uses the virtual back-stress variable corresponding to a cyclically stable material under strain control. This new internal variable is defined by means of a memory surface introduced in the stress space. The linear isotropic hardening rule is also superposed. First, the proposed model was validated on experimental data published for the SS304 material (Kang et al. Constitutive modeling of strain range dependent cyclic hardening. Int J Plast 19 (2003) 1801–1819). Subsequently, the proposed cyclic plasticity model was applied to own experimental data from uniaxial tests realized on 08Ch18N10T at room temperature. The new cyclic plasticity model can be calibrated by the relatively simple fitting procedure that is described in the paper. A comparison between the results of a numerical simulation and the results of real experiments demonstrates the robustness of the proposed approach.

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“…Tube/Pipe (TP) 304 stainless steel has numerous advantages including high corrosion resistance, good plasticity, high formability, and high temperature resistance, and has been widely used in ships, the nuclear industry, and pipelines of petrochemical plants [1][2][3]. When these stainless steel components are in service, their microstructures may change due to the long-term continuous load, high temperature and high pressure.…”

Section: Introductionmentioning

confidence: 99%

Characterizing Microstructural Evolution of TP304 Stainless Steel Using a Pulse-Echo Nonlinear Method

Liu

Zhang

et al. 2020

Materials

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Tube/Pipe (TP) 304 stainless steel has been widely used in industry, but a change in its microstructures may endanger its service safety, and it is essential to evaluate its microstructural evolution. In this work, a pulse-echo nonlinear method is proposed to characterize the microstructural evolution of the TP304 stainless steel. The detailed pulse-echo nonlinear experimental process is presented, and it is shown that the absolute nonlinear parameter can be determined when the effect of attenuation is taken into account. The microstructural evolution of TP304 stainless steel is artificially controlled by annealing treatments before it is evaluated by using nonlinear ultrasonic method and metallographic method. The results show that the grain sizes increase as the annealing time increases, which leads to the performance degradation of the TP304 steel and an increase in the nonlinear parameters, with the reason discussed considering the variation in the microstructure. The present pulse-echo nonlinear method is easier to conduct than the traditional transmission-through method and the absolute nonlinear parameter can be determined for quantitative characterization. The variation in determined nonlinear parameters provides a reference to evaluate the microstructural evolution of TP304 stainless steel.Materials 2020, 13, 1395 2 of 11 dislocations, precipitates, and fatigue microcracks [6]. Therefore, nonlinear acoustic testing can be used to characterize the degradation of the microstructural properties of TP 304 stainless steel components.When a monochromic ultrasonic wave is transmitted in a material, the waveform is distorted by the nonlinear elastic property of the material and harmonic waves are generated [7]. The nonlinear ultrasonic method often measures these harmonic waves to obtain the relative or absolute nonlinear parameter to evaluate the microstructural evolution of materials. The typical method uses longitudinal waves and is usually conducted in through-transmission mode, which requires access to both sides; however, this technique may be restrictive in a field measurement scenario where, for example, access is only possible to the outer surface of a pipeline [8]. The pulse-echo method, which enables single-side access to the test component using a nonlinear longitudinal wave, provides a useful tool for practical applications of nonlinear ultrasonic measurement.Determining the absolute nonlinear parameter is important in order to quantitatively evaluate the microstructural evolution of materials [9]. Measuring nonlinear parameters for fluids using the pulse-echo method with a rigid boundary has been reported [10]. For solid materials or structures, the stress-free boundary will destructively alter the nonlinear wave generation process. Some researchers have shown that the 'residual' nonlinear wave reflected from stress-free boundaries can still be measured [8,11]. However, there are some difficulties in determining the absolute nonlinear parameters of TP 304 stainless steel using the pulse-echo method...

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Effect of torsional pre-strain on low cycle fatigue performance of 304 stainless steel

Cited by 13 publications

References 34 publications

New research findings on non-proportional low cycle fatigue

New research findings on non-proportional low cycle fatigue

Modeling the Strain-Range Dependent Cyclic Hardening of SS304 and 08Ch18N10T Stainless Steel with a Memory Surface

Characterizing Microstructural Evolution of TP304 Stainless Steel Using a Pulse-Echo Nonlinear Method

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