Failure mechanisms of automotive metallic alloys in very high cycle fatigue range

Bayraktar, E.; Garcias, Israel Marines; Bathìas, Claude

doi:10.1016/j.ijfatigue.2005.09.019

Cited by 109 publications

(44 citation statements)

References 12 publications

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“…Accidents involving engineering components are not completely understood. In the past decades, a number of researchers studied the fatigue crack initiation and failure mechanisms [11,12] for very-high-cycle fatigue (VHCF) using fatigue life prediction methods [7,13] to avoid such accidents. For example, Li and Akid proposed a corrosion fatigue model including the stages of pitting and the pit-to-crack transition in order to predict the fatigue life of a structural material and the model showed good agreement with the experimental data at lower stress levels but predicted more conservative lifetimes as the stress increases [14].…”

Section: Introductionmentioning

confidence: 99%

“…At the same time, the characteristic corrosion fatigue life at any stress level for a small sample tested under the same environmental condition can be estimated simply and effectively using Equation (12). Weibull distribution function m shape parameter in Weibull distribution function n experimental number of corrosion fatigue life P corresponding correlation coefficient E(x) expected value of statistics S(x) standard deviation value β reliability index N f number of cycles to failure σ stress amplitude (MPa) R stress ratio…”

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confidence: 99%

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High-Cycle Microscopic Severe Corrosion Fatigue Behavior and Life Prediction of 25CrMo Steel Used in Railway Axles

Wang

et al. 2017

Metals

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Abstract:The effects of environmental media on the corrosion fatigue fracture behavior of 25CrMo steel were investigated. The media include air, and 3.5 wt % and 5.0 wt % NaCl solutions. Experimental results indicate that the media induces the initiation of corrosion fatigue cracks at multiple sites. The multi-cracking sites cause changes in the crack growth directions, the crack growth rate during the coupling action of the media, and the stress amplitude. The coupling effects are important for engineering applications and research. The probability and predictions of the corrosion fatigue characteristic life can be estimated using the three-parameter Weibull distribution function.

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Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

High-Cycle Microscopic Severe Corrosion Fatigue Behavior and Life Prediction of 25CrMo Steel Used in Railway Axles

Wang

et al. 2017

Metals

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“…Also, in a similar grade SGI51 with 5% ferrite and 95% pearlite, finite life in the VHCF regime was observed with a fatigue strength of around 225 MPa at 10 9 cycles. [11] Here, not only micropores contributed to the fatigue failures, but also occasional ferrite island initiations.…”

Section: Introductionmentioning

confidence: 90%

Very High Cycle Fatigue of Two Ductile Iron Grades

Bergström

Burman

Svensson

et al. 2015

steel research int.

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Two ductile iron grades, EN-GJS-600-3 a ferritic-pearlitic grade, and EN-GJS-600-10 a silicon strengthened ferritic nodular iron grade, are studied in the very high cycle fatigue range using a 20 kHz ultrasonic test equipment. Fatigue strengths and SN-curves are achieved, and fracture surfaces and microstructures are investigated. The ferritic grade with higher ductility displays a lower fatigue strength at 10 8 load cycles than the ferritic-pearlitic grade, 142 and 167 MPa, respectively. Examination of fracture surfaces shows that fatigue failures are controlled by micropores in both of the ductile iron grades, while the graphite nodule distributions do not seem to influence the difference in fatigue strengths. Prediction of the fatigue strengths, using a model for ductile iron proposed by Endo and Yanase, indicates a large potential for improvement in particular for the ferritic grade.

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“…The enabler to enhance all of these factors is the temperature field [14] that is caused by the intensity distribution of the laser as well as the feed rate, spot size and temperature regulation. A lot of research has been done to predict the outcome of these parameters by simulation [12,[15][16][17]. Kunc et al [18], for example, predicted multitrack hardening of the investigated 42CrMo4 (AISI 4140).…”

Section: Introductionmentioning

confidence: 99%

Optimization of the Laser Hardening Process by Adapting the Intensity Distribution to Generate a Top-hat Temperature Distribution Using Freeform Optics

2017

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Laser hardening is a surface hardening process which enables high quality results due to the controllability of the energy input. The hardened area is determined by the heat distribution caused by the intensity profile of the laser beam. However, commonly used top-hat laser beams do not provide an ideal temperature profile. Therefore, in this paper the beam profile, and thus the temperature profile, is optimized using freeform optics. The intensity distribution is modified to generate a top-hat temperature profile on the surface. The results of laser hardening with the optimized distribution are thereupon compared with results using a top-hat intensity distribution.

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Failure mechanisms of automotive metallic alloys in very high cycle fatigue range

Cited by 109 publications

References 12 publications

High-Cycle Microscopic Severe Corrosion Fatigue Behavior and Life Prediction of 25CrMo Steel Used in Railway Axles

High-Cycle Microscopic Severe Corrosion Fatigue Behavior and Life Prediction of 25CrMo Steel Used in Railway Axles

Very High Cycle Fatigue of Two Ductile Iron Grades

Optimization of the Laser Hardening Process by Adapting the Intensity Distribution to Generate a Top-hat Temperature Distribution Using Freeform Optics

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