Computational micromechanics of fatigue of microstructures in the HCF–VHCF regimes

Musinski, William D.

doi:10.1016/j.ijfatigue.2016.05.019

Cited by 37 publications

(12 citation statements)

References 67 publications

(96 reference statements)

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“…[43][44][45] Other avenues also exist like using reducedbasis techniques to increase drastically the efficiency of the computation [46] and, thus, be able to simulate every fatigue cycle. The central hypothesis is that, this state can be used to propagate the crack on a certain distance, typically in the order of the plastic zone size.…”

Section: Discussionmentioning

confidence: 99%

“…From that point of view, the model should be well suited to simulate HCF and VHCF fatigue crack growth, where the microstructure has a very strong influence. [43][44][45] Other avenues also exist like using reducedbasis techniques to increase drastically the efficiency of the computation [46] and, thus, be able to simulate every fatigue cycle.…”

Section: Discussionmentioning

confidence: 99%

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Simulation of Short Fatigue Crack Propagation in a 3D Experimental Microstructure

Proudhon

Ludwig

et al. 2017

Adv Eng Mater

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International audienceA three dimensional simulation of short fatigue crack propagation in a polycrystalline microstructure using a crystal plasticity finite element model is carried out. The experimental microstructure which contains several hundreds grains, was obtained via diffraction contrast tomography. A step-by-step short fatigue crack growth model based on capturing the plastic activity at the crack tip is used. Technical details are given and discussed in light of the compromise needed to perform such demanding calculations. The crack propagates through several grains and depicts some of the characteristic short crack features observed experimentally in the literature

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Simulation of Short Fatigue Crack Propagation in a 3D Experimental Microstructure

Proudhon

Ludwig

et al. 2017

Adv Eng Mater

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“…as if only one representative values is used), then the best distance to sample values needs to be identified and (ii) if the FIP is computed by averaging along a specific region (e.g. averaging several representative values, Castelluccio et al, 2016;Musinski and McDowell, 2016) then care should be used, because the correlation is a function of the distance. A more robust strategy to compute a scalar FIP is to sample while moving away from the crack front until a predetermined threshold value of the FIP is found, and only then compute a density.…”

Section: Equation 25mentioning

confidence: 99%

Predicting the 3D fatigue crack growth rate of small cracks using multimodal data via Bayesian networks: In-situ experiments and crystal plasticity simulations

Rovinelli

Sangid

Proudhon

et al. 2018

Journal of the Mechanics and Physics of Solids

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Small crack (SC) propagation accounts for most of the fatigue life of engineering structures subject to high cycle fatigue loading conditions. Determining the fatigue crack growth rate of SCs propagating into polycrystalline engineering alloys is critical to improving fatigue life predictions, thus lowering cost and increasing safety. In this work, cycle-by-cycle data of a SC propagating in a beta metastable titanium alloy is available via phase and diffraction contrast tomography. Crystal plasticity simulations are used to supplement experimental data regarding the micromechanical fields ahead of the crack tip. Experimental and numerical results are combined into a multimodal dataset and sampled utilizing a non-local data mining procedure. Furthermore, to capture the propensity of body-centered cubic metals to deform according to the pencil-glide model, a non-local driving force is postulated. The proposed driving force serves as the basis to construct a data-driven probabilistic SC propagation framework using Bayesian networks as building blocks. The spatial correlation between the postulated driving force and experimental observations is obtained by analyzing the results of the SC propagation Bayesian framework. Results show that the above correlation increases proportionally to the distance from the crack front until the edge of the plastic zone. Moreover, the predictions of the propagation framework show good agreement with experimental observations. Finally, we studied the interaction of a SC with grain boundaries (GBs) utilizing various slip transmission criteria, revealing the tendency of a SC to cross a GB by propagating along the slip directions minimizing the residual Burgers vector with the GB.

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“…The micromechanical assessment of fatigue is performed utilizing the so called Fatigue Indicator Parameters (FIPs). To that effect, we utilize the Fatemi-Socie (FS) criterion, as presented in [27], and applied it to the high-cycle fatigue (HCF) regime, for example, in [28]. The FS criterion one of the most utilized FIP parameters, commonly defined as:…”

Section: Mechanical Response With a Micromechanical Crystal Plasticitmentioning

confidence: 99%

Process-Structure-Properties-Performance Modeling for Selective Laser Melting

Pinomaa

Yashchuk

Lindroos

et al. 2019

Metals

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Selective laser melting (SLM) is a promising manufacturing technique where the part design, from performance and properties process control and alloying, can be accelerated with integrated computational materials engineering (ICME). This paper demonstrates a process-structure-properties-performance modeling framework for SLM. For powder-bed scale melt pool modeling, we present a diffuse-interface multiphase computational fluid dynamics model which couples Navier-Stokes, Cahn-Hilliard, and heat-transfer equations. A computationally efficient large-scale heat-transfer model is used to describe the temperature evolution in larger volumes. Phase field modeling is used to demonstrate how epitaxial growth of Ti-6-4 can be interrupted with inoculants to obtain an equiaxed polycrystalline structure. These structures are enriched with a synthetic lath martensite substructure, and their micromechanical response are investigated with a crystal plasticity model. The fatigue performance of these structures are analyzed, with spherical porelike defects and high-aspect-ratio cracklike defects incorporated, and a cycle-amplitude fatigue graph is produced to quantify the fatigue behavior of the structures. The simulated fatigue life presents trends consistent with the literature in terms of high cycle and low cycle fatigue, and the role of defects in dominating the respective performance of the produced SLM structures. The proposed ICME workflow emphasizes the possibilities arising from the vast design space exploitable with respect to manufacturing systems, powders, respective alloy chemistries, and microstructures. By digitalizing the whole workflow and enabling a thorough and detailed virtual evaluation of the causal relationships, the promise of product-targeted materials and solutions for metal additive manufacturing becomes closer to practical engineering application.to be modified to maintain similar properties achieved with traditional techniques such as casting or wrought parts. Compared to traditional manufacturing methods, due to local powder fusion in rapid solidification conditions and solid-state heat cycling, the resulting microstructures present unique features such as metastable phases, smaller scale microsegregation, formation of unexpected secondary phases, spherical or high-aspect-ratio pores, oxide inclusions, microstructural residual stresses, melt pool boundaries, grains with complex morphology, and strong texture.The aforementioned structural features in SLM lead to properties and performance that are unexpected [1]. For example, stainless steel 316L can achieve remarkably high hardness and ductility [2] but has a susceptibility to pitting corrosion [3]; Inconel 625 nickel superalloy contains detrimental intermetallic and carbide phases [4]; Ti-6-4 tends to produce hard needlelike α martensite which leads to high hardness but low ductility; tool steels are extremely difficult to fabricate with SLM due to their complex metallurgy, including a tendency to form brittle martensite and high volume fractions of ...

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Computational micromechanics of fatigue of microstructures in the HCF–VHCF regimes

Cited by 37 publications

References 67 publications

Simulation of Short Fatigue Crack Propagation in a 3D Experimental Microstructure

Simulation of Short Fatigue Crack Propagation in a 3D Experimental Microstructure

Predicting the 3D fatigue crack growth rate of small cracks using multimodal data via Bayesian networks: In-situ experiments and crystal plasticity simulations

Process-Structure-Properties-Performance Modeling for Selective Laser Melting

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