Fatigue of carburised CrNiMo steel: Testing and modelling concept

Böhme, Stephan André; Vinogradov, Alexei; Biermann, Horst; Weidner, Anja; Schmiedel, Alexander; Henkel, Sebastian

doi:10.1111/ffe.13394

Cited by 8 publications

(16 citation statements)

References 32 publications

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“…Due to its superior load carrying capacity, marine bevel gears are commonly made of carburized 18CrNiMo7‐6 steel 1,40 . Capturing the cyclic behavior of CrNiMo steel as a function of its hardness, cleanliness, and of the number of load cycles, the material model outlined in Böhme et al 5 is implemented. It covers the fatigue limit under fully reversed and repeated axial loading ( f −1 , f 0 ) and torsional fully reversed loading t −1 (repeated torsional loading t 0 according to Zenner & Simbürger 41 ) in the high cycle fatigue (HCF) and very high cycle fatigue (VHCF) regime.…”

Section: Methodsmentioning

confidence: 99%

“…The √area parameter describes the square root of the projected area of an inclusion, perpendicular to the maximum principal stress, κ the fatigue ratio, and M k mean stress sensitivity, considering the effect of internal notches on the fatigue limit under repeated axial loading.

\begin{matrix} lefttrue \\ f_{- 1} = \{\begin{matrix} center \\ 1.6 HV for HV < 300 \\ \begin{array}{c} \frac{1.56 \cdot ((), italicHV + 120)}{{((), \sqrt{italicarea})}^{\frac{1}{6}}} & for italicHV > 550 \end{array} \\ \begin{array}{c} 505 italicMPa & else \end{array} \end{matrix}) and f_{0} = \frac{2 \cdot f_{- 1}}{1 + M_{k}} \\ t_{- 1} = \frac{f_{- 1}}{κ} with κ = - 5 10^{- 4} HV + \sqrt{3} and \frac{4 t_{- 1}}{t_{0}} - \frac{2 f_{- 1}}{f_{0}} = 1 \end{matrix}

Fatigue parameters ( f −1 , f 0 , t −1 , t 0 ) are assigned to each node inside the modeled mean cross‐section according to the local hardness and to the specified mean inclusion size (default √area = 80 μm 5 ). The size factor 5 derived from the weakest link theory 43 accounts for the significantly larger highly stressed volume in gear teeth than is the one in the tested fatigue specimen.…”

Section: Methodsmentioning

confidence: 99%

“…The size factor 5 derived from the weakest link theory 43 accounts for the significantly larger highly stressed volume in gear teeth than is the one in the tested fatigue specimen. The stress amplitude vs. the number of cycles (SN) curves and failure probabilities documented in Böhme 5 rely on the maximum likelihood method (MLM). Due to the bimodal nature of fatigue failures from surface defects and from subsurface inclusions, alongside the frequency effect of the tested steel 34CrNiMo6, large standard deviations were estimated.…”

Section: Methodsmentioning

confidence: 99%

“…Such cases are documented on truck gearboxes, power plants, wind turbines, and on marine propulsion equipment, where it has evolved into the most critical failure mode for azimuthing thrusters. Aimed at predicting and preventing subsurface initiated failures of large marine bevel gears, this work continues the efforts of the “improved reliability of thrusters” joint industry project and combines the previously published material model for carburized CrNiMo steel 5 with numerical stress and multiaxial fatigue predictions.…”

Section: Introductionmentioning

confidence: 99%

“…The aim of this study, alongside the material model presented in Böhme et al, 5 is to improve upon the above‐listed points and to enable a comprehensive assessment of all gear typical fatigue failure modes in one calculation. For an initial assessment, the popular Dang Van critical plane multiaxial fatigue criterion (DV) 20 is studied.…”

Section: Introductionmentioning

confidence: 99%

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A novel predictive model for multiaxial fatigue in carburized bevel gears

Böhme

Vinogradov

Papuga

et al. 2021

Fatigue Fract Eng Mat Struct

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This publication focuses on the numerical stress prediction in case‐carburized bevel gears and on their fatigue assessment. Four gear sets are analyzed for the common fatigue failure modes of pitting, tooth root breakage, and subsurface fatigue. The proposed algorithm, enabling the prediction of the dominant failure type and region, relies on the previously published material model for carburized CrNiMo steels. It utilizes a 2D plane strain simplification as only the mean cross‐section is analyzed and evaluates the shear mean and amplitude stresses through the maximum rectangular hull method. A novel multiaxial fatigue criterion is presented and validated.

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Section: Methodsmentioning

confidence: 99%

\begin{matrix} lefttrue \\ f_{- 1} = \{\begin{matrix} center \\ 1.6 HV for HV < 300 \\ \begin{array}{c} \frac{1.56 \cdot ((), italicHV + 120)}{{((), \sqrt{italicarea})}^{\frac{1}{6}}} & for italicHV > 550 \end{array} \\ \begin{array}{c} 505 italicMPa & else \end{array} \end{matrix}) and f_{0} = \frac{2 \cdot f_{- 1}}{1 + M_{k}} \\ t_{- 1} = \frac{f_{- 1}}{κ} with κ = - 5 10^{- 4} HV + \sqrt{3} and \frac{4 t_{- 1}}{t_{0}} - \frac{2 f_{- 1}}{f_{0}} = 1 \end{matrix}

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A novel predictive model for multiaxial fatigue in carburized bevel gears

Böhme

Vinogradov

Papuga

et al. 2021

Fatigue Fract Eng Mat Struct

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A standardizable approach for Tooth Flank Fracture

Böhme

Keski-Rahkonen²,

Komssi³

2022

Forsch Ingenieurwes

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Ultrasonic scanning of large spiral bevel gears and the subsequent fracture analyses of early-stage tooth flank fractures imply a mode II crack initiation under surface-parallel, orthogonal shear stresses. An iteration of the Dang Van criterion is presented that focuses exclusively on surface-parallel material planes, yielding a standardizable approach for the study of tooth flank fracture in spiral bevel gears. It is shown that Dang Van’s shear stress amplitude and maximum hydrostatic stress along a surface-perpendicular path can adequately be described by the Hertzian orthogonal shear stress amplitude and Lang’s compressive residual stress. The fatigue properties along the same path are estimated from Thomas’ hardness model and augmented by ISO-inspired lifetime, size and conversion factors. The article closes with a comparison between the commonly used Witzig-Boiadjiev, Hertter-Wirth, DNV subsurface fatigue and the herein proposed, rationalized Dang Van criterion.

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