A weakest link model for multiple mechanism brittle fracture — Model development and application

Boåsen, Magnus; Dahlberg, Carl F. O.; Efsing, Pål; Faleskog, Jonas

doi:10.1016/j.jmps.2020.104224

Cited by 8 publications

(3 citation statements)

References 35 publications

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“…Continuation of the present study regarding the effect of localization and defect concentration should be conducted to fill the gap between the correlation of CT analysismechanical strength and FE simulations as proposed by [21][22][23][24][25].…”

Section: Discussionmentioning

confidence: 99%

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Assessing Cast Aluminum Alloys with Computed Tomography Defect Metrics: A Gurson Porous Plasticity Approach

Gul

Aslan

Kayalı

et al. 2023

Metals

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Aluminum alloys have inherent tendencies to produce casting defects caused by alloying or metal melt flow inside the mold. The traditional detection method for these defects includes reduced pressure tests, which assess metal quality in a destructive manner. This leaves a gap between metal quality assessments and tensile test correlations. Computed tomography (CT) scans offer crucial assistance in evaluating the internal quality of castings without damaging the structure. This provides a valuable opportunity to couple mechanical tests with numerical methods such as finite element analysis to predict the mechanical performance of the alloy. The present study aims to evaluate the internal quality of cast aluminum alloys using CT scans and to correlate the defect metrics obtained from CT scans with mechanical test results. The Gurson-type material model and finite element methodology have been used to validate the correlation studies. Therefore, we propose a more holistic approach to predicting the behavior of metals by coupling damage models with CT scans and mechanical tests. The study investigates several CT metrics such as the defect volume, total defect surface, biggest defect surface, and projected area of defects. The conclusion reveals that CT scans provide crucial assistance in evaluating the internal quality of castings, and CT defect metrics can be used to build correlations between mechanical tests and CT evaluations. The study also suggests that the concept of adjusted representative material yield parameter (ARMY) or computed representative material yield parameter (CRMY) can be used to correlate CT metrics with mechanical strength in cast materials and parts for a given aluminum alloy. Overall, the study proposes a more comprehensive methodology to assess the quality of cast aluminum alloys and couple the quality to mechanical performance.

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Section: Discussionmentioning

confidence: 99%

“…The investigation by Boåsen et al presented a multiple mechanism weakest link model for brittle fracture by micro-mechanical analysis. They use a non-local porous plastic Gurson model to predict the ductile crack growth and brittle fracture toughness distribution [25].…”

Section: Introductionmentioning

confidence: 99%

Assessing Cast Aluminum Alloys with Computed Tomography Defect Metrics: A Gurson Porous Plasticity Approach

Gul

Aslan

Kayalı

et al. 2023

Metals

View full text Add to dashboard Cite

show abstract

“…Tessellation with a standard Voronoi algorithm is employed to construct the virtual microstructures [62][63][64][65]. In short, the algorithm divides a unit cell into a desired number of polyhedra [66].…”

Section: Voronoi Tessellationmentioning

confidence: 99%

Morphological and Crystallographic Effects in the Laser Powder-Bed Fused Stainless Steel Microstructure

2021

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One of the key aspects in additive manufacturing of stainless steels is the relationship between process parameters and the resulting microstructure. The selected process parameters typically cause a rapid solidification of the material, which leads to a microstructure that is highly textured both morphologically and crystallographically. While the morphological texture is characterised by a mainly columnar shape of the grains, the crystallographic texture is marked by a preferred grain orientation in the <001> direction (fibre texture). Due to the texture effects, pronounced anisotropic mechanical properties are present in the material. In this report, a series of virtual microstructures with different morphological and crystallographic features are generated to develop a fundamental understanding of the individual texture effects on the mechanical properties. The grain morphology is based on Voronoi tessellations, and the crystallographic texture is captured with crystal plasticity. Furthermore, the numerical predictions are compared with experimental studies. The mechanical properties predicted on the basis of the virtual microstructures show that the crystallographic effect is much more dominant than the morphology of the individual grains. Consistent with the experiments, the highest load-bearing capacity of the material occurs when the macroscopic loading acts under an angle of 45∘ to the preferred orientation of the crystals.

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Analysis of thermal embrittlement of a low alloy steel weldment using fracture toughness and microstructural investigations

Boåsen

Lindgren

Öberg

et al. 2022

Engineering Fracture Mechanics

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A weakest link model for multiple mechanism brittle fracture — Model development and application

Cited by 8 publications

References 35 publications

Assessing Cast Aluminum Alloys with Computed Tomography Defect Metrics: A Gurson Porous Plasticity Approach

Assessing Cast Aluminum Alloys with Computed Tomography Defect Metrics: A Gurson Porous Plasticity Approach

Morphological and Crystallographic Effects in the Laser Powder-Bed Fused Stainless Steel Microstructure

Analysis of thermal embrittlement of a low alloy steel weldment using fracture toughness and microstructural investigations

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