Damage and stress state influence on the Bauschinger effect in aluminum alloys

Jordon, J.B.; Horstemeyer, M.F.; Solanki, Kiran; Xue, Ybin

doi:10.1016/j.mechmat.2007.03.004

Cited by 57 publications

(26 citation statements)

References 42 publications

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“…61 The damage evolution model has been used in several studies in combination with design of experiment (DOE) methodology to investigate the effect and relative importance of several microstructural parameters on damage evolution. [61][62][63][64][65][66][67] By using the method to study the influence of damage on a component subjected to load it was shown that the weight of the component could be significantly reduced without increasing the amount of damage obtained in the component. 68 Recent work shows the process of calibrating the ISV model for a specific alloy, 69 and the model is proposed as the basis for a new design paradigm called "Cradle-to-Grave Simulation-Based Design with Multiscale Microstructure-Property Modelling", 44 able to capture the entire life cycle of a component from casting through heat-treatment etc.…”

Section: The Ctg-methodsmentioning

confidence: 99%

Simulation of mechanical behaviour of cast aluminium components

Olofsson

2012

International Journal of Cast Metals Research

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A literature review on methods to consider mechanical behaviour of cast aluminium alloys in finite element method (FEM) simulations of cast aluminium components has been performed. The mechanical behaviour is related to several microstructural parameters achieved during the casting process. Three different methods to consider these microstructural parameters are introduced. One method predicts the mechanical behaviour of the component using casting process simulation software. The other two methods implements numerical models for mechanical behaviour of cast aluminium into the FEM simulation. Applications of the methods are shown, including combinations with statistical methods and geometry optimisation methods. The methods are compared, and their different strengths and drawbacks are discussed.

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Section: The Ctg-methodsmentioning

confidence: 99%

Simulation of mechanical behaviour of cast aluminium components

Olofsson

2012

International Journal of Cast Metals Research

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“…It has been used to predict the behavior of metals under different loading conditions [17] on many different industrial and manufacturing applications (including forging, metal cutting, heat treatment, resistance welding) [18]. The BCJ model is a physically based plasticity and damage constitutive model that involves microstructural content and is consistent with continuum level kinematics, kinetics, and thermodynamics [19]. This model was originally developed for problems with strain rates smaller than the shock regime, involving large strains and or damage.…”

Section: Numerical Techniquementioning

confidence: 99%

“…Notice the strong dependence on the stress triaxiality. At high pressures equation (19) and equation (14) and the spherical part of Hooke's law (pressure, where the bulk modulus is degraded by the damage) describe a competitive process. As increased pressure drives the growth of porosity, the increased porosity slows the evolution of the pressure.…”

Section: Numerical Techniquementioning

confidence: 99%

Finite Element Analysis of Self-Pierce Riveting in Magnesium Alloys Sheets

Moraes

Jordon

Bammann

2015

Journal of Engineering Materials and Technology

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Conventional fusion joining methods such as resistance spot welding have been demonstrated to not be effective for magnesium alloys. Therefore, self-pierce riveting (SPR) has been presented as an attractive joining technique for these lightweight metals. However, SPR must be performed at elevated temperatures because of the low ductility of magnesium alloys at room temperature. Even though the SPR joining process has been established on magnesium alloys, this joining process is not optimized. As such, this study establishes the first attempt at simulating the SPR of magnesium alloys through the use of the finite element

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“…The Bauschinger effect is interpreted as anisotropic ''yielding" that arises upon reverse loading from internal backstresses that are attributed to dislocations accumulating at obstacles. For a more comprehensive review of the Bauschinger effect in 7075 aluminum alloys, see Jordon et al (2007). To quantify the Bauschinger effect, cylindrical low cycle fatigue type specimens with a uniform gage length based on ASTM standard E606 were used.…”

Section: Materials Mechanical Responses Microstructure Characterizatimentioning

confidence: 99%

Calibration, validation, and verification including uncertainty of a physically motivated internal state variable plasticity and damage model

Solanki¹,

Horstemeyer²,

Steele³

et al. 2010

International Journal of Solids and Structures

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a b s t r a c tIn this paper, we illustrate a formal calibration, validation, and verification process that includes uncertainty in an internal state variable plasticity-damage model that is implemented in a finite element code. The physically motivated continuum model characterizes damage evolution by incorporating material uncertainty due to microstructural spatial clustering. The uncertainty analysis is performed by introducing material variation through model validation and verification. The effect of variability in microstructural clustering and boundary conditions on the sensitivities and uncertainty of the plasticity-damage evolution for the 7075 aluminum alloy is characterized. The results show the potential of this methodology in the evaluation of material response uncertainty due to microstructure spatial clustering and its effect on damage evolution. For damage evolution, we have shown that the initial isotropic damage evolved into an anisotropic form as the deformation increased which is consistent with experimentally observed behavior for 7075 aluminum alloy in literature. Also, the sensitivities were found to be consistent with the physics of damage progression for this particular type of material. Through the sensitivity analysis, the initial defect size and number density of cracked particles are important at the beginning of deformation. As damage evolves, more voids are nucleated and grow and the sensitivity analysis illustrates this as well. Then, voids combine with each other and coalescence becomes the main driver, which is also confirmed by the sensitivity analysis. This work also shows that the microstructurally based damage evolution equations provide an accurate representation of the damage progression due to large intermetallic particles. Finally, we illustrate that the initial variation in the microstructure clustering can lead to about ±7.0%, ±8.1%, and ±9.75% variation in the elongation to failure strain for torsion, tensile, and compressive loading, respectively.

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Damage and stress state influence on the Bauschinger effect in aluminum alloys

Cited by 57 publications

References 42 publications

Simulation of mechanical behaviour of cast aluminium components

Simulation of mechanical behaviour of cast aluminium components

Finite Element Analysis of Self-Pierce Riveting in Magnesium Alloys Sheets

Calibration, validation, and verification including uncertainty of a physically motivated internal state variable plasticity and damage model

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