An efficient and robust approach to determine material parameters of crystal plasticity constitutive laws from macro-scale stress–strain curves

Sedighiani, Karo; Diehl, Martin; Τράκα, Κωνσταντίνα; Roters, Franz; Sietsma, Jilt; Raabe, Dierk

doi:10.1016/j.ijplas.2020.102779

Cited by 88 publications

(49 citation statements)

References 60 publications

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“…Recently, Sedighiani et al [511] proposed a computationally efficient multi-objective optimization approach to identify material parameters for complex CP models with a large number of crystal mechanical material parameters directly from flow curves obtained on bulk polycrystalline samples. The methodology uses a genetic algorithm [512] along with the response surface methodology.…”

Section: Crystal Plasticity Data Fitting Based On Experimentsmentioning

confidence: 99%

“…45-Yield strength versus loading temperature for different strain rates. The blue symbols show the simulation results that were obtained by a unique set of parameters determined using the approach recently introduced by Sedighiani et al [511] The red symbols show the uniaxial compression tests data obtained for IF steel.…”

Section: E Multiscale Forming Simulations Of Advanced High-strength mentioning

confidence: 99%

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Current Challenges and Opportunities in Microstructure-Related Properties of Advanced High-Strength Steels

Raabe

Sun

Silva

et al. 2020

Metall Mater Trans A

137

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This is a viewpoint paper on recent progress in the understanding of the microstructure–property relations of advanced high-strength steels (AHSS). These alloys constitute a class of high-strength, formable steels that are designed mainly as sheet products for the transportation sector. AHSS have often very complex and hierarchical microstructures consisting of ferrite, austenite, bainite, or martensite matrix or of duplex or even multiphase mixtures of these constituents, sometimes enriched with precipitates. This complexity makes it challenging to establish reliable and mechanism-based microstructure–property relationships. A number of excellent studies already exist about the different types of AHSS (such as dual-phase steels, complex phase steels, transformation-induced plasticity steels, twinning-induced plasticity steels, bainitic steels, quenching and partitioning steels, press hardening steels, etc.) and several overviews appeared in which their engineering features related to mechanical properties and forming were discussed. This article reviews recent progress in the understanding of microstructures and alloy design in this field, placing particular attention on the deformation and strain hardening mechanisms of Mn-containing steels that utilize complex dislocation substructures, nanoscale precipitation patterns, deformation-driven transformation, and twinning effects. Recent developments on microalloyed nanoprecipitation hardened and press hardening steels are also reviewed. Besides providing a critical discussion of their microstructures and properties, vital features such as their resistance to hydrogen embrittlement and damage formation are also evaluated. We also present latest progress in advanced characterization and modeling techniques applied to AHSS. Finally, emerging topics such as machine learning, through-process simulation, and additive manufacturing of AHSS are discussed. The aim of this viewpoint is to identify similarities in the deformation and damage mechanisms among these various types of advanced steels and to use these observations for their further development and maturation.

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Section: Crystal Plasticity Data Fitting Based On Experimentsmentioning

confidence: 99%

Section: E Multiscale Forming Simulations Of Advanced High-strength mentioning

confidence: 99%

Current Challenges and Opportunities in Microstructure-Related Properties of Advanced High-Strength Steels

Raabe

Sun

Silva

et al. 2020

Metall Mater Trans A

137

View full text Add to dashboard Cite

show abstract

“…In addition to mean field schemes, crystal plasticity models are applied extensively in understanding and estimating the evolution of the microstructure and associated anisotropic stress-strain response in polycrystalline metals which are exposed to large plastic strains [6,7]. In rate-independent crystal plasticity, unlike the rate-dependent theory, just some of slip systems are active which must be determined [8].…”

Section: Intr Introduction Oductionmentioning

confidence: 99%

On the multiscale analysis of a two phase material: crystal plasticity versus mean field

Mirhosseini¹,

Perdahcioglu²,

Atzema³

et al. 2021

Esaform 2021

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In this paper, a comparison is made between two multiscale methods, namely crystal plasticity finite element and mean field on a material composed of two phases. Both methods are used to homogenize a given microstructure. In order to obtain macroscopic behavior, in the mean field approach, a Self-Consistent scheme is used to evaluate stress and strain partitioning among the phases. In this method, an average of the fields is estimated and local distributions cannot be captured. In parallel, crystal plasticity simulations on Representative Volume Elements (RVEs) composed of hexagonal grains are performed. In these simulations, grain orientations are attributed randomly respecting Mackenzie's distribution function in order to achieve isotropic behavior and macroscopic hardening is extracted from the simulations. The results on macroscopic hardening of both methods are compared to distinguish the extents of validity of mean field homogenization. In addition to Self- Consistent, other mean field schemes such as Voigt, Reuss and Bound-Interpolation are compared in terms of efficiency and accuracy. The comparison manifests that Self-Consistent scheme is capable of predicting material behavior well.

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“…[9]- [18]. These methods carried out at the grain scale are usually time consuming [15]. There is an increased effort towards utilizing local micro-mechanical fields such as HR-DIC strain maps or slip traces [19] for parameter identification.…”

Section: Introductionmentioning

confidence: 99%

“…Such coupled approaches can provide information on textures, Geometrically Necessary Dislocation (GND) density patterning, plastic strain localization and transfer across grain boundaries, etc. In particular, the increasing use of machine learning techniques [21], [22], genetic algorithms [15] and artificial neural networks [23] for capturing experimentally observed micro-mechanical response such as stress hotspots, micro-crack propagation, spatial strain localization etc. are becoming very popular.…”

Section: Introductionmentioning

confidence: 99%

Tuning critical resolved shear stress ratios for bcc-titanium Ti21S via an automated data analysis approach

Venkatraman¹,

Slama²,

Taupin³

et al. 2021

Modelling Simul. Mater. Sci. Eng.

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We introduce a novel method for automated slip trace detection and analysis based on the Hough transform algorithm and apply it to Electron Channelling Contrast Imaging micrographs. This is further augmented with an automation procedure for the determination of slip-trace crystallography in conjunction with orientation data acquired via electron backscattered diffraction. Automation is required for faster indexation of the slip traces and for more reliable statistical studies. The automation procedure was applied to different regions of interest on a β-Ti21S sample loaded in situ in tension. β-Ti21S is a BCC alloy with 48 slip systems available to accommodate plastic deformation, including all complexities associated with pencil glide. Multiple regions of interest were analyzed using the automation procedure. The acquired slip distribution statistics reveals that the majority of the slip traces belong to the {112} and {123} slip families. The deformation response of the observed regions of interest was also simulated using a fullfield crystal plasticity model implemented in DAMASK, based on a phenomenological power law based constitutive formulation, incorporating all potentially active 48 slip systems. The slip system activity distribution from modelling is compared with the slip distribution statistics observed experimentally. The plasticity parameters for β-Ti21S were taken from the literature and the Critically Resolved Shear Stress (CRSS) values were adjusted to match the experimentally observed yield stress value. We begin with uniform CRSS ratios for all three potential slip system families and tune the CRSS ratios to match the slip-distribution statistics experimentally, keeping the average CRSS value the same for all cases. Thus, a method has been introduced to tune average CRSS values and ratios by considering both the macroscopic stress-strain response and the locally observed slip-distribution statistics, obtained via automated slip trace detection procedure.

show abstract

An efficient and robust approach to determine material parameters of crystal plasticity constitutive laws from macro-scale stress–strain curves

Cited by 88 publications

References 60 publications

Current Challenges and Opportunities in Microstructure-Related Properties of Advanced High-Strength Steels

Current Challenges and Opportunities in Microstructure-Related Properties of Advanced High-Strength Steels

On the multiscale analysis of a two phase material: crystal plasticity versus mean field

Tuning critical resolved shear stress ratios for bcc-titanium Ti21S via an automated data analysis approach

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