Multiaxial plain and notch fatigue strength of thick-walled ductile cast iron EN-GJS-600-3: Combining multiaxial fatigue criteria, theory of critical distances, and defect sensitivity

Benedetti, M.; Santus, Ciro; Raghavendra, Sunil; Lusuardi, Danilo; Zanini, Filippo; Carmignato, Simone

doi:10.1016/j.ijfatigue.2021.106703

Cited by 26 publications

(9 citation statements)

References 53 publications

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“…In recent years, the CPA has made some new progress in dealing with multiaxial fatigue issues. [22][23][24][25][26][27][28][29][30][31][32][33][34][35][36][37][38][39] Susmel and Lazzarin 22 proposed a novel method for multiaxial fatigue life prediction based on a combined use of the CPA and a non-conventional bi-parametric Wöhler curve. Gates and Fatemi 33,34 improved the classic FS model by considering additional factors related to variable amplitude loading conditions and successfully applied it to both un-notched and notched specimens.…”

Section: Introductionmentioning

confidence: 99%

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Multiaxial fatigue evaluation of type 316L stainless steel based on critical plane and energy dissipation

Feng

Wang

Jiang

2022

Fatigue Fract Eng Mat Struct

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This paper focuses on a comparative study of the critical plane approach (CPA) and the dissipated energy approach (DEA) for multiaxial fatigue evaluation on an AISI 316L steel. It is a follow-up to our previous study on the development of a DEA model for multiaxial fatigue life prediction. The results demonstrate that the developed DEA model can provide overall better performance compared with some classic CPA models both in terms of prediction accuracy and versatility to multiaxial loading paths. An in-depth crack mechanism investigation reveals that the multiaxial fatigue life is mostly spent in the formation of micro-cracks, which exhibits distinct characteristics under the different loading paths examined. This effect can be better considered by using DEA model compared with the CPA models adopted.

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Section: Introductionmentioning

confidence: 99%

“…In recent years, the CPA has made some new progress in dealing with multiaxial fatigue issues 22–39 . Susmel and Lazzarin 22 proposed a novel method for multiaxial fatigue life prediction based on a combined use of the CPA and a non‐conventional bi‐parametric Wöhler curve.…”

Section: Introductionmentioning

confidence: 99%

Multiaxial fatigue evaluation of type 316L stainless steel based on critical plane and energy dissipation

Feng

Wang

Jiang

2022

Fatigue Fract Eng Mat Struct

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“…Cast iron offers high castability and good machining properties, as well as interesting mechanical properties [1][2]. Due to the economic benefits it offers, cast iron is used for many applications such as water pipes [3][4][5], machine building, in the automotive industry and in metal fabrication and processing [2]. Until today, cast iron still constitutes the majority (≈70%) of metal castings [1,6].…”

Section: Introductionmentioning

confidence: 99%

“…Until today, cast iron still constitutes the majority (≈70%) of metal castings [1,6]. In addition, specific cast irons are the material of choice for seawater pump casings, rolling mill rolls and earthmoving machinery parts [2,[6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Production of Lamellar Cast Iron EN-GJL-150 From Local Manganese-Rich Pig Iron by Modification of the Melting Process

Sitouah

Cherfi

Oualit

et al. 2022

Advances in Materials Science

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In the present study, a modified duplex melting process was set up so as to be able to produce an EN-GJL-150 gray cast iron from a local manganese-rich pig iron. A descriptive statistics showed an average Mn and Si content in raw material such that: Mn % = 2.457±0.133 and Si % = 0.682±0.088. The demanganization process was run and monitored in a cascade of two industrial-scale furnaces: a rotary kiln and an electric arc furnace. The performed experiments indicated that: 1) the manganese content decreased from 2.45 % to 0.94 %, 2) the manganese oxidation obeys the first order kinetic model, 3) Brinell and Rockwell hardness’s decreased by 38.83% and 27.81% respectively, and 4) the produced cast iron has a pearlitic microstructure with a small fraction of ferrite (1 to 5%) in the matrix and traces of cementite. All results showed that the produced castings comply with the standards in force for EN-GJL-150 cast irons, similar to gray cast iron ASTM A48 Class 20.

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“…Benedetti et al [1] used the Theory of Critical Distances (TCD) combined with the multiaxial fatigue criterion to predict the notch fatigue strength of ductile cast iron.…”

Section: Introductionmentioning

confidence: 99%

Comparative study of fatigue assessment of defective material based on affected depth

Youssef¹,

Nasr²

2022

Comptes Rendus. Mécanique

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In this work, we propose a comparative study of fatigue assessment of artificial surface defects based on affected depth (AD). The defect is assumed to be a void (semi-spherical, elliptical, or circumferential notches) on the surface of a material subjected to fatigue loading.An elastic-plastic model of Chaboche is implanted in Abaqus to simulate the cyclic Finite Element (FE) calculations.The AD model is exploited with Crossland, Dang Van, and Papadopoulos fatigue criteria to determine Kitagawa diagrams. The experimental data of the defective material C35 steel are used for model validation and comparison. The proposed comparative study of fatigue assessment provides interesting results.

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Multiaxial plain and notch fatigue strength of thick-walled ductile cast iron EN-GJS-600-3: Combining multiaxial fatigue criteria, theory of critical distances, and defect sensitivity

Cited by 26 publications

References 53 publications

Multiaxial fatigue evaluation of type 316L stainless steel based on critical plane and energy dissipation

Multiaxial fatigue evaluation of type 316L stainless steel based on critical plane and energy dissipation

Production of Lamellar Cast Iron EN-GJL-150 From Local Manganese-Rich Pig Iron by Modification of the Melting Process

Comparative study of fatigue assessment of defective material based on affected depth

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