Effect of plasma nitriding on high‐cycle fatigue properties and fracture behaviors of GJS700 nodular cast iron under cyclic bending loading

Parast, Mohammad Sadegh Aghareb; Khameneh, Mohammad Jamalkhani; Azadi, Mohammad; Azadi, Mahboobeh; Mahdipanah, Mohammad Hadi; Roostaie, Saied

doi:10.1111/ffe.13479

Cited by 27 publications

(10 citation statements)

References 35 publications

(64 reference statements)

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“…This issue could be also reported in the literature by Aghareb Parast et al. [5] . Smaller areas for crack propagation could be seen on the fracture sample under a high-cycle fatigue regime (low stresses).…”

Section: Data Descriptionsupporting

confidence: 78%

Data analysis of striation spacing, lifetime, and crack length in crankshaft ductile cast iron under cyclic bending loading through high-cycle fatigue regime

2022

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Section: Data Descriptionsupporting

confidence: 78%

Data analysis of striation spacing, lifetime, and crack length in crankshaft ductile cast iron under cyclic bending loading through high-cycle fatigue regime

2022

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“…From the above discussion, it is clear that the effect of solidification defects on fatigue properties of DCI components has been thoroughly investigated. However, it is worth noting that this research topic is still open, since a unique approach regarding the influence of both non‐nodular graphite particles and micro‐shrinkage porosity on fatigue behavior has not yet been achieved 37,38 …”

Section: Solidification Defect Influence On Mechanical Properties: a ...mentioning

confidence: 99%

Effect of the porosity on the fatigue strength of metals

Vantadori

Ronchei

Scorza

et al. 2022

Fatigue Fract Eng Mat Struct

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In the present paper, a procedure for fatigue strength assessment of metals containing solidification defects is employed to analyze the fatigue behavior of a ductile cast iron (DCI) characterized by a relevant micro‐shrinkage porosity. The procedure implements (i) a statistical method deriving from extreme value theory, (ii) the ‐parameter model, and (iii) the multiaxial critical plane‐based criterion by Carpinteri et al. According to the above statistical method, both the distribution of defects and the return period are determined. More precisely, the return period is computed by also exploiting a relationship here proposed to optimize the accuracy of the procedure in terms of fatigue strength estimation. The great potential of the present procedure is that the defect content analysis (performed by means of a statistical method deriving from extreme value theory) can be easily performed using machine learning techniques.

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“…More details for the fabrication of the studied materials could be found in the literature by Aroo et al [1], Azadi et al [3], Rezanezhad et al [10], and Zolfaghari et al [11]. In addition, more details of fatigue testing and the geometry of standard cylindrical samples could be followed in the literature by Parast et al [12], Sharifi et al [13], and Khisheh et al [14]. After testing, a regression curve-fitting process was done for the sensitivity analysis on experimental data.…”

Section: Materials and Experimentsmentioning

confidence: 99%

Bending cyclic behavior and scatter-band analysis of aluminum alloys under beneficial and detrimental conditions through high-cycle fatigue regime

Azadi

Aroo

2021

Frattura Ed Integrità Strutturale

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This article presents the bending fatigue behavior and the scatter-band analysis of aluminum alloys under beneficial conditions of nano-clay-particles and heat-treating, compared to detrimental conditions of the mechanical stress and the corrosion. Moreover, the sensitivity analysis was also done on the stress level, the pre-corrosion phenomenon, the addition of nano-particles and applying the heat treatment on the high-cycle bending fatigue lifetime of the aluminum-silicon alloy. For this objective, gravity and stir-casting processes were done for aluminum alloy and nano-clay-composite specimens and then, standard samples were machined from initial casted cylinders. Furthermore, rotary fatigue tests were performed under cyclic bending loadings, through the high-cycle fatigue regime. Some samples were pre-corroded in the sulfuric acid for 200 hours. Based on the sensitivity analysis on experimental data by the Minitab software, the obtained results indicated that the stress level was the effective parameter on the fatigue lifetime. The meaningful regression model was calculated and calibrated on the logarithmic scale of the fatigue lifetime. Then, the second sensitive parameter was demonstrated as the pre-corrosion, which caused a significant degradation of fatigue properties in the material. The last-ranked factor was related to nano-particles for the beneficial effect on the improvement of the high-cycle fatigue lifetime. The scatter-band analysis illustrated that nano-particles and heat-treating changed the scattering behavior of experimental data.

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Effect of plasma nitriding on high‐cycle fatigue properties and fracture behaviors of GJS700 nodular cast iron under cyclic bending loading

Cited by 27 publications

References 35 publications

Data analysis of striation spacing, lifetime, and crack length in crankshaft ductile cast iron under cyclic bending loading through high-cycle fatigue regime

Data analysis of striation spacing, lifetime, and crack length in crankshaft ductile cast iron under cyclic bending loading through high-cycle fatigue regime

Effect of the porosity on the fatigue strength of metals

Bending cyclic behavior and scatter-band analysis of aluminum alloys under beneficial and detrimental conditions through high-cycle fatigue regime

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