Ductile damage model of an alluminum alloy: experimental and numerical validation on a punch test

Mastrone, Marco Nicola; Fraccaroli, Lorenzo; Concli, Franco

doi:10.2495/cmem-v9-n3-249-260

Cited by 3 publications

(3 citation statements)

References 25 publications

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“…To apply this model, the plastic strain ( ) pl ε is to be separated from the total strain and the initial yield stress (σ 0 ) must be identified from the experimental data. MASTRONE et al [34] followed an iterative procedure to obtain the Voce parameters for a ductile material. In this work, the initial yield stress is constrained to be the same as obtained from the experiment and the rest of the parameters are optimized using a Generalized Reduced Gradient (GRG) nonlinear method without any constraints.…”

Section: Analytical Parameter Identificationmentioning

confidence: 99%

FE simulation of uniaxial tensile behavior of SiC reinforced AA5083 alloy

Songa,

Suman,

Manyala

2024

Matéria (Rio J.)

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Reinforcements added to pure AA5083 alloy are known to lower the overall weight while improving the strength of the Metal Matrix Composite (MMC). In this work, Silicon carbide (SiC) particles are added to pure AA5083 in varying quantities (3%, 5%, 7% and 10%), and tested to failure using tensile testing. The stress-strain behavior is decomposed into the elastic and plastic behavior and is validated using Finite Element (FE) modeling. The results exhibited an increase in ultimate tensile strength (UTS) of the MMC up to 5% of SiC. The formation of intermetallic compounds due to reactions at high concentrations of SiC resulted in debonding in the MMC and thus reduction in UTS. In this work, the response of the material between yield and complete failure is characterized using VOCE nonlinear model in FE analysis. It is observed that MMC with 5% SiC has shown maximum UTS (340.34 Mpa), while MMC with 10% SiC content has resulted in the most ductility (27% plastic strain) of all the compositions. Further, MMC with 7% SiC has highest saturation stress (R 0 = 653.09 Mpa) and lowest ductility, while MMC with 10% SiC has lowest saturation stress (R 0 = 115.57 Mpa) and highest ductility.

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Section: Analytical Parameter Identificationmentioning

confidence: 99%

FE simulation of uniaxial tensile behavior of SiC reinforced AA5083 alloy

Songa,

Suman,

Manyala

2024

Matéria (Rio J.)

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“…necking, shear bands, etc.) [30,31]. The electrical resistance of the material can also be used to evaluate the resisting area and therefore to measure the level of damage in the material.…”

Section: Experimental Damage Characterizationmentioning

confidence: 99%

Ductile fracture modeling of metallic materials: a short review

Fincato

Tsutsumi

2021

Frattura Ed Integrità Strutturale

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Since the end of the last century a lot of research on ductile damaging and fracture process has been carried out. The interest and the attention on the topic are due to several aspects. The margin to reduce the costs of production or maintenance can be still improved by a better knowledge of the ductile failure, leading to the necessity to overcome traditional approaches. New materials or technologies introduced in the industrial market require new strategies and approaches to model the metal behavior. In particular, the increase of the computational power together with the use of finite elements (FE), extended finite elements (X-FE), discrete elements (DE) methods need the formulation of constitutive models capable of describing accurately the physical phenomenon of the damaging process. Therefore, the recent development of novel constitutive models and damage criteria. This work offers an overview on the current state of the art in non-linear deformation and damaging process reviewing the main constitutive models and their numerical applications.

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“…The results showed that the Oyane and Oh damage models had a more accurate capability to predict fracture in spinning processes. Mastrone et al [ 16 ] calibrated the Rice and Tracey damage model for aluminum alloy cold forming and validated it using finite element analysis in punch testing. There was consistency between the test observations and simulation results.…”

Section: Introductionmentioning

confidence: 99%

An Inverse Optimization Method for the Parameter Determination of the High-Temperature Damage Model and High-Temperature Damage Graph of Ti6Al4V Alloy

et al. 2023

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Ti6AL4V alloy is widely used in the biomedical and energy vehicle industries, among others. Ti6Al4V alloy cannot be fabricated at ambient temperatures; hence, it requires hot forming. However, this method is susceptible to crack defects. The crack defect problem of Ti6AL4V alloy in the hot-forming process cannot be ignored, so we must develop a precise hot-forming damage prediction model. In this study, three high-temperature damage models of Ti6Al4V alloy were developed, considering the temperature and strain rate. These models were derived from the normalized Cockcroft and Latham (NCL), Oyane, and Rice and Tracey (RT) damage models. The damage parameters of the models were identified using a genetic algorithm combined with finite element simulation. The force accumulation error of the Ti6AL4V alloy specimen, which was obtained from a simulated thermal tensile test and an actual test, was used as an optimization target function. Then, the damage parameters were optimized using the genetic algorithm until the target function reached the minimum value. Finally, the optimal damage model parameter was obtained. Through program development, the three high-temperature damage models established in this paper were embedded into Forge® NxT 2.1 finite element software. The simulated thermal tensile test of Ti6AL4V alloy was performed at a temperature of 800–1000 °C and a strain rate of 0.01–5 s−1. The simulated and actual fracture displacements of the tensile specimens were compared. The correlation coefficients (R) were calculated, which were 0.997, 0.951, and 0.912. Of the high-temperature damage models, the normalized Cockcroft and Latham high-temperature damage model had higher accuracy in predicting crack defects of Ti6Al4V alloy during the hot-forming process. Finally, a fracture strain graph and a high-temperature damage graph of Ti6Al4V alloy were constructed. The Ti6Al4V alloy damage evolution and thermal formability were analyzed in relation to the temperature and strain rate.

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Ductile damage model of an alluminum alloy: experimental and numerical validation on a punch test

Cited by 3 publications

References 25 publications

FE simulation of uniaxial tensile behavior of SiC reinforced AA5083 alloy

FE simulation of uniaxial tensile behavior of SiC reinforced AA5083 alloy

Ductile fracture modeling of metallic materials: a short review

An Inverse Optimization Method for the Parameter Determination of the High-Temperature Damage Model and High-Temperature Damage Graph of Ti6Al4V Alloy

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