Experimental characterization, material modeling, identification and finite element simulation of the thermo-mechanical behavior of a zinc die-casting alloy

Page, Maria Angeles Martinez; Hartmann, Stefan

doi:10.1016/j.ijplas.2017.10.010

Cited by 13 publications

(5 citation statements)

References 68 publications

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“…6a, which are estimated by the termination points of relaxation from a multi-step relaxation test. These are extrapolated by three exponential functions, see [66], leading to the hardening parameters β st , c 1 , and c 2 shown in Table 4. For this step, the identification tool proposed in Krämer et al [55] is chosen, where the viscosity η is set to zero, and the parameters K st , G st , and k are prescribed.…”

Section: Three-step Identification and Model Reductionmentioning

confidence: 99%

Parameter estimation and its influence on layered metal–composite–metal plates simulation

et al. 2022

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Laminates made of metal—glass fiber-reinforced polymers—metal layers require material parameters for each constitutive model of the constituents. First, although parameter identification for metallic materials has been frequently discussed, the stepwise identification of material parameters in terms of uncertainties of previously determined parameters is investigated by the concept of error propagation. Second, the calibration of a model of orthotropy describing the large deformation behavior of the glass fiber-reinforced kernel layer is a challenging process, especially against the background of a reliable determination of the parameters. The main problem is related to the lack of available experiments. This issue is embedded in the concept of local identifiability. Thus, the article provides experiments to determine the parameters of both the steel as well as the glass fiber-reinforced polymers. Particularly for the latter issue, $$\mu $$ μ -CT data is chosen to provide a representative volume element, where all deformation modes can be investigated. In this sense, a concept to determine all material parameters in a locally unique and reliable manner is studied. A linear error propagation concept provides the uncertainty of the resulting material parameters of the whole parameter set for the homogenized material. The entire parameter identification process is discussed thoroughly, and validation examples such as bending and deep drawing in metal forming processes, are provided to estimate the prediction accuracy. In this respect, the uncertainties found by parameter identification are applied to the prediction of finite element simulations of layered metal–composite–metal forming processes and error propagation is used to estimate the uncertainties of the simulations. In this contribution, we restrict ourselves to experiments at room temperature.

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Section: Three-step Identification and Model Reductionmentioning

confidence: 99%

Parameter estimation and its influence on layered metal–composite–metal plates simulation

et al. 2022

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“…1. Based on these results, we extend the models proposed in [3] and [4] to include the effects of aging into the thermo-mechanical response of the alloy. To this end, an aging variable g is included in the model as an internal variable.…”

Section: Experimental Investigation and Modelingmentioning

confidence: 87%

“…These microstructural changes influence the mechanical response of the material [2]. In previous works, it was found that the alloy zamak 5 shows a viscoplastic behavior which is strongly affected by the temperature in the range from −40 • C to 85 • C, see [3]. In order to investigate the influence of aging on the mechanical response of the alloy, tension and torsion experiments from [3] were repeated at the different aging times of 3, 6 and 12 months (natural aging).…”

Section: Experimental Investigation and Modelingmentioning

confidence: 99%

“…In previous works, it was found that the alloy zamak 5 shows a viscoplastic behavior which is strongly affected by the temperature in the range from −40 • C to 85 • C, see [3]. In order to investigate the influence of aging on the mechanical response of the alloy, tension and torsion experiments from [3] were repeated at the different aging times of 3, 6 and 12 months (natural aging). In these experiments, it was found out that the aging influences the initial slope and the maximum stress reached in the stress-strain diagram for torsion as well as for tension and compression, see Fig.…”

Section: Experimental Investigation and Modelingmentioning

confidence: 99%

“…The aging rate is proportional to the temperature so that an increase in the temperature accelerates the aging process. Several material parameters of the model proposed in [3] were defined as aging dependent.…”

Section: Experimental Investigation and Modelingmentioning

confidence: 99%

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Effects of aging on the thermo‐mechanical response of a die casting alloy

Page

Hartmann

2018

Proc Appl Math and Mech

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Zamak alloys can be found in a wide variety of components of the automotive, building, electronic, and toy industry. They are preferred to other materials for die casting foundry due to their several advantages. For example, they exhibit a low melting point which allows an economic manufacturing process, they allow the production of components with tight tolerances and are characterized by good mechanical properties. Nonetheless, these alloys show a change in their mechanical behavior over time. This phenomenon is known as aging and it is associated to microstructural transformations such as diffusion and precipitation of alloying elements and phase transformations. In this work, the influence of natural aging on the thermomechanical response is investigated with the help of tension, compression and torsion experiments and a model with aging as an internal variable is proposed.

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Properties Optimization and Strengthening Mechanism of KNO3–KCl Water-Soluble Composite Salt Core for Hollow Zinc Alloy Die Castings

Gong

Liu

et al. 2022

Inter Metalcast

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Experimental characterization, material modeling, identification and finite element simulation of the thermo-mechanical behavior of a zinc die-casting alloy

Cited by 13 publications

References 68 publications

Parameter estimation and its influence on layered metal–composite–metal plates simulation

Parameter estimation and its influence on layered metal–composite–metal plates simulation

Effects of aging on the thermo‐mechanical response of a die casting alloy

Properties Optimization and Strengthening Mechanism of KNO3–KCl Water-Soluble Composite Salt Core for Hollow Zinc Alloy Die Castings

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