Ductile fracture prediction in aluminium alloy 5A06 sheet forming based on GTN damage model

Teng, Bugang; Wang, Weinian; Xu, Yang

doi:10.1016/j.engfracmech.2017.10.014

Cited by 60 publications

(19 citation statements)

References 24 publications

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“…However, the material porosity is a considerable factor to assess the material's plastic failure and therefore numerical simulation is a chief key to evaluate and predict the process of plastic collapse (ductile failure). 30,39,40 Owing to the aforementioned damage formulations, a numerical explicit resolution respecting a 3D deformable shell model was considered for the dogboneshaped AA5352 specimen representing its thickness, t = 0:28 mm, simulated in ABAQUS Ó . Since the literature works 30,39,40 reported that damage-based material models (in particular GTN criterion) might be sensitive to the mesh aggregate, in this work, it was opted to study various mesh densities on the reduced section (Figure 1(b).…”

Section: Fea: Ductile Fracture Predictionmentioning

confidence: 99%

“…As the literature substantiated, 19,30,[46][47][48] the GTN damage criterion possesses a reasonable efficiency to forecast the damaged region and fracture characteristics such as stress triaxiality (TF), thickness variation, porosity and equivalent plastic strain (PEEQ). Among all, the TF could significantly affect material's stress/strain variation and later on the damage expansion.…”

Section: Fea: Ductile Fracture Predictionmentioning

confidence: 99%

“…However, the material porosity is a considerable factor to assess the material’s plastic failure and therefore numerical simulation is a chief key to evaluate and predict the process of plastic collapse (ductile failure). 30,39,40…”

Section: Fea: Ductile Fracture Predictionmentioning

confidence: 99%

“…In the literature, there exist some relevant works focusing on the porous metal plasticity and ductile fracture, GTN failure criterion verified by experimental DIC analysis; that is, the plastic damage of steel; 19,28,29 static failure prediction of AA6061T6 aluminium alloy, 20 failure assessment on aluminium alloy 5A06 sheet forming 30 and so on. However, the literature lacks a comprehensive study on the failure mechanism of the AA5352 sheets presented by experimental and verified by computational analyses.…”

Section: Introductionmentioning

confidence: 99%

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Material characterization and damage assessment of an AA5352 aluminium alloy using digital image correlation

Farahani

Amaral

Tavares

et al. 2019

The Journal of Strain Analysis for Engineering Design

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The emergence of reliable material characterization techniques in automotive and aeronautical industries, in particular sheet metal forming, promises to underpin a novel advance in materials research. In this regard, 5xxx series aluminium alloys deliver the largest formability range and can be deformed at room temperature. This study aims at determining the mechanical properties of the AA5352 aluminium alloy, using digital image correlation. Thus, tensile sheet specimens manufactured from the corresponding alloy are mechanically tested under a uniaxial condition and deformation fields are monitored. Considering the force/displacement response and stress/strain curves, the material Poisson’s ratio, Young’s modulus and anisotropy coefficient in the transverse direction are characterized by the experimental digital image correlation data. It intends to obtain accurate and reliable mechanical properties to be considered in the future processing analyses. Numerically, adopting the experimentally obtained material properties, the Gurson–Tvergaard–Needleman damage model is implemented using finite element method formulation to forecast the ductile fracture performance of the tested AA5352 sheet. The predicted results are then compared with the experimental digital image correlation solution verifying good agreement with the force/displacement response and the deformation fields. Overall, the acquired numerical results imply that the Gurson–Tvergaard–Needleman damage criterion is capable to render an accurate prediction upon a high stress triaxiality state.

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Section: Fea: Ductile Fracture Predictionmentioning

confidence: 99%

Section: Fea: Ductile Fracture Predictionmentioning

confidence: 99%

Section: Fea: Ductile Fracture Predictionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Material characterization and damage assessment of an AA5352 aluminium alloy using digital image correlation

Farahani

Amaral

Tavares

et al. 2019

The Journal of Strain Analysis for Engineering Design

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“…Among continuum models of ductile fracture as reviewed by Besson [21], the Gurson-Tvergaard-Needleman (GTN) damage model modified and refined by Tvergaard and Needleman [22][23][24] has an idea predictive ability for fracture position and fracture parameters. Ten et al [25] studied different uniaxial tension tests with different specimen types by damage models, and found that the GTN fracture criterion could give a reliable prediction under high stress triaxiality. Giang et al [26] found that the GTN model was suitable for the studies about ductile brittle transition.…”

Section: Introductionmentioning

confidence: 99%

Effect of Stress Triaxiality on Plastic Damage Evolution and Failure Mode for 316L Notched Specimen

Peng

Wang

Dai

et al. 2019

Metals

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To reveal the effect of stress triaxiality on plastic damage evolution and failure mode, 316L notched specimens with different notch sizes are systematically investigated by digital image correlation (DIC) observation, plastic damage analysis by finite element simulation, and void mesoscopic observation. It was found that the plastic damage evolution and failure mode are closely related with notch radius and stress triaxiality. The greater the stress triaxiality at the root is, the greater the damage value at the root is and the earlier the fracture occurs. Moreover, void distribution by mesoscopic observation agrees well with damage distribution observed by finite element simulation with the Gurson-Tvergaard-Needleman (GTN) damage model. It is worth noting that, with the increase in stress triaxiality, the failure mode of notched specimen changes from ductility fracture with void coalescence at the center position to crack initiation at the notch root, from both mesoscopic observation and damage simulation.

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Numerical Analysis of the Damage Evolution of DP600 Steel Using Gurson–Tvergaard–Needleman Model

Yildiz

2022

steel research int.

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Ductile fracture is commonly considered as a mechanical response of nucleation, growth, and finally, coalescence of voids in metallic alloys induced by plastic deformation. Several micromechanical ductile fracture models and criteria have been developed within the past 50 years. In 1968, McClintock [1] established ductile fracture criteria for the growth of long cylindrical void under applied stress. Next year, Rice and Tracey [2] analytically modeled the growth of spherical voids in a tension strain field. In both cases, high-stress triaxiality increases the void growth rate exponentially. Later, Gurson [3] developed constitutive equations for porous materials using the upper bound theorem of plasticity. Gurson's yield criteria was based on the assumption of idealization of a single void in a rigid plastic cell (to represent matrix) in which the void volume fraction was defined as "f ". Similarly, Rousselier [4] proposed a macroscopic approach to predict ductile damage using the continuum thermodynamics. Also, Lemaitre [5] put forth a model for ductile fracture in the framework of thermodynamics: effective elasticity modulus, which decreases with an increase in the damage.Chu and Needleman [6] published a void nucleation model employing Gurson's yield criteria. Next, Tvergaard [7,8] conducted a bifurcation analysis on the shear band instabilities and void coalescence in localized shear bands in a continuum model with a void-matrix aggregate proposed by Gurson. Later, Tvergaard and Needleman [9] carried out a finite element analysis for the coalescence of voids and introduced a modification to the yield condition. After the modifications to Gurson's constitutive equations, the model is called as "GTN model" and enabled to predict ductile damage in metals. Researchers have carried out numerous studies to model ductile fracture for different applications, including tensile testing, [10][11][12][13][14][15] formability limit diagrams, [16][17][18][19][20] small punch tests, [21][22][23] electromagnetic impaction, [24] Charpy V-notch test, [25,26] bending, [27][28][29] tube hydroforming, [30,31] roll forming. [32] The constitutive equations of the GTN damage model require nine different parameters. In the literature, scholars determined these parameters with different methods for various materials. Ali and Huang [33] utilized a statistical approach, response surface methodology (RSM), to estimate damage for AZ61 Mg alloy. They coupled a finite element model (FEM), which is developed in ANSYS and evaluated the response of each variable on the regression model coefficients. Their approximation algorithm compared the results of each increment with the experimentally obtained tensile test results that initially start with the literature values for different materials, including steel, titanium, and aluminum alloys. Similarly, Abbasi and colleagues [34] determined GTN model parameters by RSM for the tailor-welded monolithic interstitial free (IF)-steel blanks. They compared the results of FEM, which was constructed on the...

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Ductile fracture prediction in aluminium alloy 5A06 sheet forming based on GTN damage model

Cited by 60 publications

References 24 publications

Material characterization and damage assessment of an AA5352 aluminium alloy using digital image correlation

Material characterization and damage assessment of an AA5352 aluminium alloy using digital image correlation

Effect of Stress Triaxiality on Plastic Damage Evolution and Failure Mode for 316L Notched Specimen

Numerical Analysis of the Damage Evolution of DP600 Steel Using Gurson–Tvergaard–Needleman Model

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