A Novel Approach to Estimate the Plastic Anisotropy of Metallic Materials Using Cross-Sectional Indentation Applied to Extruded Magnesium Alloy AZ31B

Wu, Jianjun; Wu, Haili; Zhang, Zengkun; He, Fan

doi:10.3390/ma10091065

Cited by 11 publications

(6 citation statements)

References 41 publications

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“…In the ABAQUS/standard material model, Hill’s yield and its six parameters were used to define the plastic properties [ 15 , 25 , 26 ]. Among those parameters, R 11 , R 22 , and R 33 were parameters for the normal direction, and R 12 , R 13 , and R 23 were parameters for the shear direction.…”

Section: Methodsmentioning

confidence: 99%

Artificial Neural Networks for Predicting Plastic Anisotropy of Sheet Metals Based on Indentation Test

et al. 2022

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This paper mainly proposes two kinds of artificial neural network (ANN) models for predicting the plastic anisotropy properties of sheet metal using spherical indentation test, which minimizes measurement time, costs, and simplifies the process of obtaining the anisotropy properties than the conventional tensile test. The proposed ANN models for predicting anisotropic properties can replace the traditional complex dimensionless analysis. Moreover, this paper is not limited to the prediction of yield strength anisotropy but also further accurately predicts the Lankford coefficient in different orientations. We newly construct an FE spherical indentation model, which is suitable for sheet metal in consideration of actual compliance. To obtain a large dataset for training the ANN, the constructed FE model is utilized to simulate pure and alloyed engineering metals with one thousand elastoplastic parameter conditions. We suggest the specific variables of the residual indentation mark as input parameters, also with the indentation load–depth curve. The profile of the residual indentation, including the height and length in different orientations, are used to analyze the anisotropic properties of the material. Experimental validations have been conducted with three different sheet alloys, TRIP1180 steel, zinc alloy, and aluminum alloy 6063-T6, comparing the proposed ANN model and the uniaxial tensile test. In addition, machine vision was used to efficiently analyze the residual indentation marks and automatically measure the indentation profiles in different orientations. The proposed ANN model exhibits remarkable performance in the prediction of the flow curves and Lankford coefficient of different orientations.

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Section: Methodsmentioning

confidence: 99%

Artificial Neural Networks for Predicting Plastic Anisotropy of Sheet Metals Based on Indentation Test

et al. 2022

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“…The indentation test has long been used as an efficient and versatile way to measure the basic mechanical parameters of materials, e.g., hardness and yield strength [ 1 , 2 , 3 ]. The rapid development of high-resolution load/depth sensing technologies has inspired a tremendous interest in measuring the strain hardening properties of various materials by indentation experiments [ 4 , 5 ]. The main advantage of the indentation test is that the experiment process is very simple and versatile [ 5 , 6 , 7 ].…”

Section: Introductionmentioning

confidence: 99%

An Inverse Method for Measuring Elastoplastic Properties of Metallic Materials Using Bayesian Model and Residual Imprint from Spherical Indentation

Wang

2021

Materials

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In this paper, an inverse method is proposed for measuring the elastoplastic properties of metallic materials using a spherical indentation experiment. In the new method, the elastoplastic parameters are correlated with sub-space coordinates of indentation imprints using proper orthogonal decomposition (POD), and inverse identification of material properties is solved using a statistical Bayesian framework. The advantage of the method is that model parameters in the numerical optimization process are treated as the stochastic variables, and potential uncertainties can be considered. The posterior results obtained from the measuring method can provide valuable probabilistic information of the estimated elastoplastic properties. The proposed method is verified by the application on 2099-T83 Al-Li alloys. Results indicate that posterior distribution of material parameters exhibits more than one peak region when indentation load is not large enough. In addition, using the weighting imprints under different loads can facilitate the uniqueness in identification of elastoplastic parameters. The influence of the weighting coefficient on posterior identification results is analyzed. The elastoplastic properties identified by indentation and tensile experiment show good agreement. Results indicate that the established measuring method is effective and reliable.

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“…Magnesium alloys have great application value in the field of materials. Because of urgent energy and environmental problems [ 1 ], and the obvious advantages [ 2 ] of magnesium alloys, magnesium alloys have been applied in many fields: the automobile industry, the 3C industry, the aerospace industry, metallurgy, the chemical industry, modern weapons, the nuclear industry, and so on [ 3 , 4 , 5 ]. The application range of magnesium alloys has been continuously expanding, but the high chemical activity and mechanical strength of magnesium have constrained the development of magnesium alloys [ 6 , 7 ].…”

Section: Introductionmentioning

confidence: 99%

Microstructure and Corrosion Resistance of PEO Coatings Formed on KBM10 Mg Alloy Pretreated with Nd(NO3)3

Jun

et al. 2018

Materials

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Plasma electrolytic oxidation (PEO) technique is one of the important methods used in the surface modification of magnesium alloys. In this paper, the ceramic coatings on pretreated KBM10 magnesium alloy with Nd(NO3)3 solution were prepared by PEO. The effects of Nd(NO3)3 solution concentration on the microstructure and corrosion resistance of PEO coatings on magnesium alloys were investigated by means of scanning electron microscopy (SEM), X-ray diffractometer (XRD), and electrochemical workstation. It was found that the surface of the coatings was porous after PEO, and element Nd could be deposited on the surface of the coatings by pretreatment and existed in the PEO coatings. The coating formed at Nd(NO3)3 solution concentration of 0.06 mol/L exhibited the best corrosion resistance among all the as-prepared coatings.

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A Novel Approach to Estimate the Plastic Anisotropy of Metallic Materials Using Cross-Sectional Indentation Applied to Extruded Magnesium Alloy AZ31B

Cited by 11 publications

References 41 publications

Artificial Neural Networks for Predicting Plastic Anisotropy of Sheet Metals Based on Indentation Test

Artificial Neural Networks for Predicting Plastic Anisotropy of Sheet Metals Based on Indentation Test

An Inverse Method for Measuring Elastoplastic Properties of Metallic Materials Using Bayesian Model and Residual Imprint from Spherical Indentation

Microstructure and Corrosion Resistance of PEO Coatings Formed on KBM10 Mg Alloy Pretreated with Nd(NO3)3

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