Intergranular Strain Evolution During Biaxial Loading: A Multiscale FE-FFT Approach

Upadhyay, Manas Vijay; Čapek, Jan; Petegem, S. Van; Lebensohn, Ricardo A.; Swygenhoven, H. Van

doi:10.1007/s11837-017-2299-5

Cited by 15 publications

(13 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In each iteration of MASSIF, the CRSS values are obtained from the extended Voce hardening law, seen in equation (9). The values of the Voce hardening parameters, shown in table 4, are taken from [52] and correspond to a warm-rolled SS316L sheet sample. The three parameters used in the distance hardening function to modify the initial CRSS are given in table 4 as well.…”

Section: Dld Process Modelmentioning

confidence: 99%

See 1 more Smart Citation

A multi-scale, multi-physics modeling framework to predict spatial variation of properties in additive-manufactured metals

Herriott

Kouraytem

et al. 2019

Modelling Simul. Mater. Sci. Eng.

View full text Add to dashboard Cite

The microstructure of additively manufactured (AM) metals has been shown to be heterogeneous and spatially non-uniform when compared to conventionally manufactured metals. Consequently, the effective mechanical properties of AM-metal parts are expected to vary both within and among builds. Here, we present a framework for simulating process-(micro)structureproperty relationships of AM metals produced via direct laser deposition (DLD). The framework predicts grain nucleation and competitive growth as a function of thermal history for a multi-pass, multi-layer DLD process. The resulting three-dimensional microstructure is automatically sub-sampled to perform virtual mechanical testing throughout the build domain using a parallelized elasto-viscoplastic fast Fourier transform code, accounting for grainboundary strengthening. The effective stress-strain response of each subsampled volume is automatically analyzed to extract effective mechanical properties, which are used to generate property maps showing the spatial variability of effective mechanical properties throughout the simulated build volume. As a demonstration, the framework is applied to different DLD stainless steel 316L build volumes having different process-induced microstructures. The multi-physics framework and property maps could provide a path toward qualification of AM-metal parts.

show abstract

Section: Dld Process Modelmentioning

confidence: 99%

“…Figure 8(a) shows the effective mechanical response of every simulated subvolume in the TD-SD plane, with loading applied in the TD direction. Experimental results from [52] are shown as a comparison. Recall that the material used in [52] was a conventionally manufactured, warm-rolled SS316L sheet material.…”

Section: Site-specific Spatial Property Mapsmentioning

confidence: 99%

A multi-scale, multi-physics modeling framework to predict spatial variation of properties in additive-manufactured metals

Herriott

Kouraytem

et al. 2019

Modelling Simul. Mater. Sci. Eng.

View full text Add to dashboard Cite

show abstract

“…The main difference between these two categories is how the load is applied to the materials concerned in Refs. [ 3 , 4 ].…”

Section: Introductionmentioning

confidence: 99%

Quantifying Alignment Deviations for the In-Plane Biaxial Test System via a Shape-Optimised Cruciform Specimen

2022

View full text Add to dashboard Cite

The loading coaxiality of an in-plane biaxial test system and the structure of a cruciform specimen markedly affect the test results. However, due to the lack of methods for correcting the loading coaxiality and designing the cruciform specimen, the data scatter of the test results of the in-plane biaxial test systems varies from the laboratory to different tests. To quantify the loading coaxiality of the in-plane biaxial test system, we first developed a model to calculate alignment deviations with strain distribution of the shape-optimised cruciform specimen with Automated Machine Learning (AutoML). Our results demonstrated that 99.2% (54,536 of 54,976) of the quantified errors are less than 5%. Quantifying alignment deviations for an in-plane biaxial test system has been solved. The quantified method of alignment deviations could enhance the reliability of test data, improve assembly efficiency, and aid in constructing failure criteria of materials under biaxial stress.

show abstract

“…It is by now well recognized that significant local variations, and thus severe heterogeneities, exist in both the deformation microstructures and distributions of local strain in deformed polycrystalline metallic materials [1][2][3][4][5] . Although the evolution of deformation microstructures follows a common framework [6] , local microstructural variations exist on several scales: Sample scale, grain scale and within the individual grains [7] ; and on the latter two scales the crystallographic orientations of the grains are of importance [8] .…”

Section: Introductionmentioning

confidence: 99%

Relationships between 3d Grain Structure and Local Inhomogeneous Deformation: A Laboratory-Based Multimodal X-Ray Tomography Investigation

et al. 2021

View full text Add to dashboard Cite

Intergranular Strain Evolution During Biaxial Loading: A Multiscale FE-FFT Approach

Cited by 15 publications

References 20 publications

A multi-scale, multi-physics modeling framework to predict spatial variation of properties in additive-manufactured metals

A multi-scale, multi-physics modeling framework to predict spatial variation of properties in additive-manufactured metals

Quantifying Alignment Deviations for the In-Plane Biaxial Test System via a Shape-Optimised Cruciform Specimen

Relationships between 3d Grain Structure and Local Inhomogeneous Deformation: A Laboratory-Based Multimodal X-Ray Tomography Investigation

Contact Info

Product

Resources

About