The role of grain boundaries on fatigue crack initiation - An energy approach

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  • University of Illinois Urbana-Champaign (UIUC)
  • Universität Paderborn
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Details

OriginalspracheEnglisch
Seiten (von - bis)801-821
Seitenumfang21
FachzeitschriftInternational Journal of Plasticity
Jahrgang27
Ausgabenummer5
PublikationsstatusVeröffentlicht - 25 Sept. 2011
Extern publiziertJa

Abstract

In this paper, we construct a model for prediction of fatigue crack initiation based on the material's microstructure. In order to do so, the energy of a persistent slip band (PSB) is monitored and an energy balance approach is taken, in which cracks initiate and the material fails due to stress concentration from a PSB (with respect to dislocation motion). These PSBs are able to traverse low-angle grain boundaries (GB), thus belonging to clusters of grains. As a consequence of the ongoing cyclic slip process, the PSBs evolve and interact with high-angle GBs, the result of which leads to dislocation pile-ups, static extrusions in the form of ledges/steps at the GB, stress concentration, and ultimately crack initiation. Hence, this fatigue model is driven by the microstructure, i.e. grain orientations, widely distributed grain sizes, precipitates, PSB-GB interactions, as well as the affect of neighboring grains. The results predict that cracks initiate near twin boundaries from PSBs spanning a single large grain with a favorable orientation or multiple grains connected by low-angle GBs. Excellent agreement is shown between model predictions and experimental data.

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The role of grain boundaries on fatigue crack initiation - An energy approach. / Sangid, Michael D.; Maier, Hans J.; Sehitoglu, Huseyin.
in: International Journal of Plasticity, Jahrgang 27, Nr. 5, 25.09.2011, S. 801-821.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Sangid MD, Maier HJ, Sehitoglu H. The role of grain boundaries on fatigue crack initiation - An energy approach. International Journal of Plasticity. 2011 Sep 25;27(5):801-821. doi: 10.1016/j.ijplas.2010.09.009
Sangid, Michael D. ; Maier, Hans J. ; Sehitoglu, Huseyin. / The role of grain boundaries on fatigue crack initiation - An energy approach. in: International Journal of Plasticity. 2011 ; Jahrgang 27, Nr. 5. S. 801-821.
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abstract = "In this paper, we construct a model for prediction of fatigue crack initiation based on the material's microstructure. In order to do so, the energy of a persistent slip band (PSB) is monitored and an energy balance approach is taken, in which cracks initiate and the material fails due to stress concentration from a PSB (with respect to dislocation motion). These PSBs are able to traverse low-angle grain boundaries (GB), thus belonging to clusters of grains. As a consequence of the ongoing cyclic slip process, the PSBs evolve and interact with high-angle GBs, the result of which leads to dislocation pile-ups, static extrusions in the form of ledges/steps at the GB, stress concentration, and ultimately crack initiation. Hence, this fatigue model is driven by the microstructure, i.e. grain orientations, widely distributed grain sizes, precipitates, PSB-GB interactions, as well as the affect of neighboring grains. The results predict that cracks initiate near twin boundaries from PSBs spanning a single large grain with a favorable orientation or multiple grains connected by low-angle GBs. Excellent agreement is shown between model predictions and experimental data.",
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T1 - The role of grain boundaries on fatigue crack initiation - An energy approach

AU - Sangid, Michael D.

AU - Maier, Hans J.

AU - Sehitoglu, Huseyin

N1 - Funding information: Support for this work was provided by the Rolls-Royce Corporation and the National Science Foundation , DMR 08-03270 .

PY - 2011/9/25

Y1 - 2011/9/25

N2 - In this paper, we construct a model for prediction of fatigue crack initiation based on the material's microstructure. In order to do so, the energy of a persistent slip band (PSB) is monitored and an energy balance approach is taken, in which cracks initiate and the material fails due to stress concentration from a PSB (with respect to dislocation motion). These PSBs are able to traverse low-angle grain boundaries (GB), thus belonging to clusters of grains. As a consequence of the ongoing cyclic slip process, the PSBs evolve and interact with high-angle GBs, the result of which leads to dislocation pile-ups, static extrusions in the form of ledges/steps at the GB, stress concentration, and ultimately crack initiation. Hence, this fatigue model is driven by the microstructure, i.e. grain orientations, widely distributed grain sizes, precipitates, PSB-GB interactions, as well as the affect of neighboring grains. The results predict that cracks initiate near twin boundaries from PSBs spanning a single large grain with a favorable orientation or multiple grains connected by low-angle GBs. Excellent agreement is shown between model predictions and experimental data.

AB - In this paper, we construct a model for prediction of fatigue crack initiation based on the material's microstructure. In order to do so, the energy of a persistent slip band (PSB) is monitored and an energy balance approach is taken, in which cracks initiate and the material fails due to stress concentration from a PSB (with respect to dislocation motion). These PSBs are able to traverse low-angle grain boundaries (GB), thus belonging to clusters of grains. As a consequence of the ongoing cyclic slip process, the PSBs evolve and interact with high-angle GBs, the result of which leads to dislocation pile-ups, static extrusions in the form of ledges/steps at the GB, stress concentration, and ultimately crack initiation. Hence, this fatigue model is driven by the microstructure, i.e. grain orientations, widely distributed grain sizes, precipitates, PSB-GB interactions, as well as the affect of neighboring grains. The results predict that cracks initiate near twin boundaries from PSBs spanning a single large grain with a favorable orientation or multiple grains connected by low-angle GBs. Excellent agreement is shown between model predictions and experimental data.

KW - Energy methods

KW - Fatigue

KW - Grain boundaries

KW - Persistent slip bands

KW - Polycrystalline material

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