Failure of metals II: Fatigue

Pineau, A.; McDowell, David L.; Busso, Esteban P.; Antolovich, Stephen D.

doi:10.1016/j.actamat.2015.05.050

Cited by 239 publications

(97 citation statements)

References 181 publications

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“…Modelling fatigue life of metals is the topic of overview II [2]. The complexity and the extremely small scale of UFG materials constitute real challenges for modelling the fatigue behavior.…”

Section: Fatigue Life Modelling Of Single-phase Ufg Materialsmentioning

confidence: 99%

“…While the companion overviews [1,2] deal with recent research advances in the fracture of industrial metallic alloys involving typical microstructure dimensions within the tens of microns range as used in traditional macroscopic components, the present overview addresses the state of the art and future perspectives regarding the physics and mechanics of fracture in metallic materials with nano-scale internal or external dimensions. Several reviews have been dealing in recent years with the mechanical behavior of these systems, e.g.…”

Section: Introductionmentioning

confidence: 99%

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Failure of metals III: Fracture and fatigue of nanostructured metallic materials

2016

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a b s t r a c tPushing the internal or external dimensions of metallic alloys down to the nanometer scale gives rise to strong materials, though most often at the expense of a low ductility and a low resistance to cracking, with negative impact on the transfer to engineering applications. These characteristics are observed, with some exceptions, in bulk ultra-fine grained and nanocrystalline metals, nano-twinned metals, thin metallic coatings on substrates and freestanding thin metallic films and nanowires. This overview encompasses all these systems to reveal commonalities in the origins of the lack of ductility and fracture resistance, in factors governing fatigue resistance, and in ways to improve properties. After surveying the various processing methods and key deformation mechanisms, we systematically address the current state of the art in terms of plastic localization, damage, static and fatigue cracking, for three classes of systems: (1) bulk ultra-fine grained and nanocrystalline metals, (2) thin metallic films on substrates, and (3) 1D and 2D freestanding micro and nanoscale systems. In doing so, we aim to favour cross-fertilization between progress made in the fields of mechanics of thin films, nanomechanics, fundamental researches in bulk nanocrystalline metals and metallurgy to impart enhanced resistance to fracture and fatigue in high-strength nanostructured systems. This involves exploiting intrinsic mechanisms, e.g. to enhance hardening and rate-sensitivity so as to delay necking, or improve grain-boundary cohesion to resist intergranular cracks or voids. Extrinsic methods can also be utilized such as by hybridizing the metal with another material to delocalize the deformation -as practiced in stretchable electronics. Fatigue crack initiation is in principle improved by a fine structure, but at the expense of larger fatigue crack growth rates. Extrinsic toughening through hybridization allows arresting or bridging cracks. The content and discussions are based on experimental, theoretical and simulation results from the recent literature, and focus is laid on linking microstructure and physical mechanisms to the overall mechanical behavior.

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Section: Fatigue Life Modelling Of Single-phase Ufg Materialsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Failure of metals III: Fracture and fatigue of nanostructured metallic materials

2016

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“…106,107 With regard to structure-property models for fatigue, as indicated in Figure 2, besides conventional statistical analysisbased phenomenological models, more attention is now paid to micromechanical FEA as a foundation for a predictive probabilistic approach. The state-of-the-art micromechanical FEA on fatigue is comprehensively reviewed by Pineau et al 108 highlighting the seminal contributions of McDowell 108 and his former students. Fatigue is an intrinsically multiscale and multistage phenomenon, and thus highly sensitive to microstructure level design.…”

Section: Numerical Expressionmentioning

confidence: 99%

Cybermaterials: materials by design and accelerated insertion of materials

Xiong

Olson

2016

npj Comput Mater

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Cybermaterials innovation entails an integration of Materials by Design and accelerated insertion of materials (AIM), which transfers studio ideation into industrial manufacturing. By assembling a hierarchical architecture of integrated computational materials design (ICMD) based on materials genomic fundamental databases, the ICMD mechanistic design models accelerate innovation. We here review progress in the development of linkage models of the process-structure-property-performance paradigm, as well as related design accelerating tools. Extending the materials development capability based on phase-level structural control requires more fundamental investment at the level of the Materials Genome, with focus on improving applicable parametric design models and constructing high-quality databases. Future opportunities in materials genomic research serving both Materials by Design and AIM are addressed. BACKGROUND: ICMD BLUEPRINTThe far-reaching multi-agency enterprise, Materials Genome Initiative (MGI), 1,2 highlights computational materials design techniques grounded in fundamental databases, which can support an ambition of decreasing the full development cycle of new materials from the present 10-20 years to ⩽ 5 years. As a subfield of the broader field of integrated computational materials engineering (ICME), which includes modelling of existing materials, 3,4 the MGI centres on design of new materials and their accelerated qualification through the inherent predictability of designed systems. Creation of the infrastructure of this technology has been a global activity as summarised in a recent series of viewpoint papers on materials genomics. 5-10 Particularly notable has been the design work of Bhadeshia 8 at the University of Cambridge and his former students including Harada 11,12 and Reed. 13 The highest achievements of full cycle compression have been demonstrated in US research, which will be the focus of this paper.In the development of applied engineering materials design powered by fundamental thermodynamic and kinetic genomic databases, a hierarchical infrastructure called ICMD presents a proven scenario of materials genomic design for accelerated engineering innovation. As indicated in Figure 1, the backbone of the ICMD infrastructure is composed of Materials by Design and accelerated insertion of materials (AIM) techniques. The application of both techniques spans the entire course of materials innovation, which can be divided into three phases: concept implementation, materials and processing design, and material qualification. The quality of the materials innovation is determined by the mechanistic models applied in the ICMD framework, which follow the universal process-structure-property-performance paradigm in materials science. 14 In Materials by Design, both process-structure and structure-property models are evaluated and refined to maximise the model-predictability grounded in the Materials Genome, which is powered by fundamental research on

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“…Prior work on statistical or probabilistic aspects of fatigue includes modeling of the variability in material properties (e.g., elastic modulus, fracture toughness, yield strength) [6], [17], [25]- [27], equivalent initial flaw size (EIFS) [21], [28]- [30], microstructures as well as defects [31]- [35], stress-life data [36]- [39], and under multiaxial conditions [40]- [45]. Generally, two aspects need to be addressed for probabilistic fatigue design: a valid PoF-based fatigue model and a probabilistic framework for treating both the random material variables and the uncertainty on model parameters in the fatigue model [46], which has been reviewed in detail recently by Pineau et al [47].…”

Section: Introductionmentioning

confidence: 99%

Probabilistic framework for multiaxial LCF assessment under material variability

Zhu

Foletti

Beretta

2017

International Journal of Fatigue

149

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Abstract:The influence of material variability upon the multiaxial LCF assessment of engineering components is missing for a comprehensive description. In this paper, a probabilistic framework is established for multiaxial LCF assessment of notched components by using the Chaboche plasticity model and Fatemi-Socie criterion. Simulations from experimental results of two steels reveal that the scatter in fatigue lives can be well described by quantifying the variability of four material parameters . A procedure for choosing the safety factor for fatigue design has been derived by using first order approximation.

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Failure of metals II: Fatigue

Cited by 239 publications

References 181 publications

Failure of metals III: Fracture and fatigue of nanostructured metallic materials

Failure of metals III: Fracture and fatigue of nanostructured metallic materials

Cybermaterials: materials by design and accelerated insertion of materials

Probabilistic framework for multiaxial LCF assessment under material variability

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