Low Cycle Fatigue of A356-T6 Cast Aluminum Alloy - A Round-Robin Test Program

Stephens, Robert J.; Berns, Hans; Chernenkoff, Russell A.; Indig, R. L.; Koh, Seung Kee; Lingenfelser, D. J.; Mitchell, M. R.; Testin, R. A.; Wigant, C. C.

doi:10.4271/881701

Cited by 11 publications

(3 citation statements)

References 2 publications

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“…[1]) is comprised of incubation, microstructurally small crack growth (MSC)/physically small crack growth (PSC), and long crack growth (LC). Equation [2] is employed to model the incubation life due to cyclic plastic deformation from micronotches and is based on a modified CoffinManson law that links microplasticity to incubation life.…”

Section: Fatigue Modelmentioning

confidence: 99%

“…A widely used alloy is A356 aluminum in which the fatigue behavior was analyzed by Stephens et al [1,2] In an effort to link the microstructure with varying stages of crack growth of A356 aluminum, Fan et al, [3] Gall et al, [4][5][6] Horstemeyer, [7] and Horstemeyer and Gokhale [8] performed micromechanical finite element simulations and microstructural analyses. Although many of the microstructure-property studies were focused upon porosity (void volume fraction) or silicon particle size, other aspects such as the interactions between the size effect of pores, nearest neighbor distances (NNDs), number of pores, and void volume fraction (porosity) on the fatigue life have not been elucidated.…”

Section: Introductionmentioning

confidence: 99%

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Microstructural Inclusion Influence on Fatigue of a Cast A356 Aluminum Alloy

Jordon

Horstemeyer

Yang

et al. 2009

Metall Mater Trans A

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We examine the dependence of fatigue properties on the different size scale microstructural inclusions of a cast A356 aluminum alloy in order to quantify the structure-property relations. Scanning electron microscopy (SEM) analysis was performed on fatigue specimens that included three different dendrite cell sizes (DCSs). Where past studies have focused upon DCSs or pore size effects on fatigue life, this study includes other metrics such as nearest neighbor distance (NND) of inclusions, inclusion distance to the free surface, and inclusion type (porosity or oxides). The present study is necessary to separate the effects of numerous microstructural inclusions that have a confounding effect on the fatigue life. The results clearly showed that the maximum pore size (MPS), NND of gas pores, and DCS all can influence the fatigue life. These conclusions are presumed to be typical of other cast alloys with similar second-phase constituents and inclusions. As such, the inclusion-property relations of this work were employed in a microstructure-based fatigue model operating on the crack incubation and MSC with good results.

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Section: Fatigue Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Microstructural Inclusion Influence on Fatigue of a Cast A356 Aluminum Alloy

Jordon

Horstemeyer

Yang

et al. 2009

Metall Mater Trans A

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“…The beneficial effects of refining the microstructure on the tensile properties [30] and fatigue life [31] are well documented. Figure 17 demonstrates that changes in SDAS also drastically affect the cyclic softening behavior of the alloy.…”

Section: B the Effect Of Solidification Rate On The Materials Behaviormentioning

confidence: 99%

Modeling high-temperature stress-strain behavior of cast aluminum alloys

Smith

Maier

Şehitoğlu

et al. 1999

Metall Mater Trans A

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A modified two-state-variable unified constitutive model is presented to model the high-temperature stress-strain behavior of a 319 cast aluminum alloy with a T7 heat treatment. A systematic method is outlined, with which one can determine the material parameters used in the experimentally based model. The microstructural processes affecting the material behavior were identified using transmission electron microscopy and were consequently correlated to the model parameters. The stress-strain behavior was found to be dominated by the decomposition of the metastable ' precipitates within the dendrites and the subsequent coarsening of the phase, which was manifested through remarkable softening with cycling and time. The model was found to accurately simulate experimental stressstrain behavior such as strain-rate sensitivity, cyclic softening, aging effects, transient material behavior, and stress relaxation, in addition to capturing the main deformation mechanisms and microstructural changes as a function of temperature and inelastic strain rate.

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Case Study: A Microstructure–Property Multistage Fatigue (MSF) Analysis of a Cadillac Control Arm

Horstemeyer¹

2012

Integrated Computational Materials Engineering (ICME) for Metals

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Low Cycle Fatigue of A356-T6 Cast Aluminum Alloy - A Round-Robin Test Program

Cited by 11 publications

References 2 publications

Microstructural Inclusion Influence on Fatigue of a Cast A356 Aluminum Alloy

Microstructural Inclusion Influence on Fatigue of a Cast A356 Aluminum Alloy

Modeling high-temperature stress-strain behavior of cast aluminum alloys

Case Study: A Microstructure–Property Multistage Fatigue (MSF) Analysis of a Cadillac Control Arm

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