Influence of Stress State on the Mechanical Impact and Deformation Behaviors of Aluminum Alloys

Rodríguez-Millán, M.; Garcia‐Gonzalez, Daniel; Rusinek, Alexis; Árias, A.

doi:10.3390/met8070520

Cited by 51 publications

(38 citation statements)

References 40 publications

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“…Figure 23 shows the comparison of the numerically predicted perforation mode with the experimental observation for the 4 mm thick 2024-T351 aluminum plate struck by the flat-ended projectile. It is clear from Figure 23a that the final perforation pattern predicted by the present model is in good agreement with the experimentally observed shear plug failure as shown in Figure 23b [53]. The radius of the plug sheared out from the plate is virtually the same as that of the projectile.…”

Section: Ballistic Perforation Testssupporting

confidence: 86%

“…The usefulness and the accuracy of the present new plasticity and failure model are also verified against the test data for the perforation of 2024-T351 aluminum alloy plates struck transversely by flat-ended and spherical projectiles, as examined by Rodriguez-Millan et al [53]. For the sake of comparison, the numerical results with the JC constitutive model together with the JC failure criterion or the BW fracture criterion as reported by Rodriguez-Millan et al [53] are also presented and discussed.…”

Section: Ballistic Perforation Testsmentioning

confidence: 60%

“…Figure 21 shows the finite element model used in the numerical simulations. Figure 22 shows the comparison of the numerically predicted residual velocities with the experimental data for the perforation of the 2024-T351 aluminum alloys plates struck by the flat-faced projectile at normal incidence [53]. It is clear from Figure 22 that that residual velocities predicted by the present model are generally in good agreement with the test data.…”

Section: Ballistic Perforation Testsmentioning

confidence: 66%

“…Moreover, the ballistic limit velocity predicted by the present model is in good agreement with the experimental observation (300 m/s) while the ballistic limit velocities predicted from the JC constitutive model together with the JC failure criterion or the BW fracture criterion are much lower than the experimental value as can be seen from Figure 22. Figure 22 shows the comparison of the numerically predicted residual velocities with the experimental data for the perforation of the 2024-T351 aluminum alloys plates struck by the flat-faced projectile at normal incidence [53]. It is clear from Figure 22 that that residual velocities predicted by the present model are generally in good agreement with the test data.…”

Section: Ballistic Perforation Testsmentioning

confidence: 66%

“…Due to symmetry boundary conditions in the X-Z plane and Y-Z plane, only a quarter of the bar specimen is modeled, to save computing time. The values of various parameters employed in the JC constitutive model and the JC failure criterion and BW fracture model were obtained by Rodriguez-Millan et al [53] for 2024-T351 aluminum. The values of various parameters used in the present plasticity and failure model for 2024-T351 aluminum are listed in Table 1.…”

Section: Smooth and Notched Bar Tension Testsmentioning

confidence: 99%

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A new Dynamic Plasticity and Failure Model for Metals

Lin

Wen

2019

Metals

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A new plasticity and failure model is developed herein for metallic materials subjected to dynamic loadings on the basis of the analysis of some available material test data and previous work. The new model consists of two parts: a strength model and a failure criterion. The strength model takes into consideration both tension and shear stress-strain relationships, as well as the effect of Lode angle, while the failure criterion takes into account both the effects of stress triaxiality and Lode angle. Furthermore, the effects of strain rate and temperature are also catered for in the model. In particular, new non-linear functions are suggested for the effects of strain rate and temperature in the strength model in order to describe accurately the mechanical behavior of metallic materials at very high loading rates and temperature. The new model is compared with available material test data for 2024-T351 aluminum alloy, 6061-T6 aluminum alloy, oxygen free high conductivity (OFHC) copper, 4340 steel, Ti-6Al-4V alloys, and Q235 mild steel in terms of stress–strain curves in both tension and shear, strain rate effect, temperature effect and fracture under different loading conditions. The new model is also compared with the JC constitutive model with the respective JC and BW fracture criteria by conducting numerical simulations of quasi-static smooth and notched bar tensile tests and ballistic perforation tests on 2024-T351 aluminum alloy in terms of cup and cone failure pattern, ballistic limit, residual velocity and failure mode. It transpires that the new plasticity and failure model can be used to predict the response and failure of metallic materials and structures under different loading conditions. It also transpires that the new model is advantageous over the existing models.

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Section: Ballistic Perforation Testssupporting

confidence: 86%

Section: Ballistic Perforation Testsmentioning

confidence: 60%

Section: Ballistic Perforation Testsmentioning

confidence: 66%

Section: Ballistic Perforation Testsmentioning

confidence: 66%

Section: Smooth and Notched Bar Tension Testsmentioning

confidence: 99%

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A new Dynamic Plasticity and Failure Model for Metals

Lin

Wen

2019

Metals

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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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Failure Behavior of Aluminum Alloys Under Different Stress States

Rodríguez-Millán¹,

García-González²,

Árias³

2020

Handbook of Damage Mechanics

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This chapter analyzes the current state of the art on ductile damage in aluminum alloys. To this end, the main experimental methodologies developed to date for this purpose are identified and introduced. The analysis of failure in this type of materials is rather complex and requires the consideration of two parameters dependent on the stress state: triaxiality and Lode parameter. Different values of triaxiality and Lode parameter can be obtained by properly defining the testing load and the specimen geometry. These results are especially interesting to feed constitutive and failure models such as the Johnson-Cook model or the Bai-Wierzbicki model. This chapter focuses on different stress states associated to different Lode parameter and triaxialities: tension, compression, shear, and combined tension-torsion. To this end, a wide variety of testing specimens are introduced describing their relation to these parameters. Thus, this content aims at providing guidance for characterization testing of ductile fracture of metals and further calibration of failure models.

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Influence of Stress State on the Mechanical Impact and Deformation Behaviors of Aluminum Alloys

Cited by 51 publications

References 40 publications

A new Dynamic Plasticity and Failure Model for Metals

A new Dynamic Plasticity and Failure Model for Metals

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

Failure Behavior of Aluminum Alloys Under Different Stress States

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