Calibration of powder constitutive model using digital image correlation validated for hollow hemisphere of lead zirconate titanate

Morais, Mateus Mota; Melo, Caiuã Caldeira de; Canto, Rodrigo Bresciani; Fortulan, Carlos Alberto

doi:10.1016/j.powtec.2021.07.001

Search citation statements

Order By: Relevance

Paper Sections

Select...

Yield Criterion Of Geotechnical Plasticity1

Introduction1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2023

Publication Types

Select...

Article2

Relationship

Self Cite0

Independent2

Authors

Journals

Cited by 2 publications

(2 citation statements)

References 51 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It generally consists of shear failure and cap yield surfaces, where Drucker-Prager/Cap is the most widely used model. [74][75][76][77][78] The model is represented in the p-q plane, as shown in Fig. 9, 74 and consists of three curves: shear failure surface F s , transition zone F t and cap yield surface F c , which are dened by eqn (1).…”

Section: Yield Criterion Of Geotechnical Plasticitymentioning

confidence: 99%

Polymer-based graphene composite molding: a review

Gao

Wang³

et al. 2023

RSC Adv.

View full text Add to dashboard Cite

show abstract

Section: Yield Criterion Of Geotechnical Plasticitymentioning

confidence: 99%

Polymer-based graphene composite molding: a review

Gao

Wang³

et al. 2023

RSC Adv.

View full text Add to dashboard Cite

show abstract

“…Through uniaxial-powder-compaction testing with finite-element (FE) simulations in the ABAQUS, Atrian et al [27] employed an artificial neural network (ANN) to derive the constants of the Drucker-Prager cap model for Al7075 powder. Morais et al [28] used the method of digital-image-correlation techniques. Uniaxial and radial compression tests were used to determine the shear failure and elastic properties of the Drucker-Prager cap model for lead zirconate titanate powder (PZT).…”

Section: Introductionmentioning

confidence: 99%

Inverse Identification of Drucker–Prager Cap Model for Ti-6Al-4V Powder Compaction Considering the Shear Stress State

Li,

Liu,

et al. 2023

Metals

View full text Add to dashboard Cite

Numerical simulation is an important method to investigate powder-compacting processes. The Drucker–Prager cap constitutive model is often utilized in the numerical simulation of powder compaction. The model contains a number of parameters and it requires a series of mechanical experiments to determine the parameters. The inverse identification methods are time-saving alternatives, but most procedures use a flat punch during the powder-compacting process. It does not reflect the densification behavior under a shearing stress state. Here, an inverse identification approach for the Drucker–Prager cap model parameters is developed by using a hemispherical punch for the powder-compacting experiment. The error between the numerical and experimental displacement–load curves was minimized to identify the Drucker–Prager cap model of titanium alloy powder. The identified model was then verified by powder-compacting experiments with the flat punch. The displacement–load curves acquired by numerical simulation were compared to the displacement–load curves obtained through experiments. The two curves are found to be in good agreement. Meanwhile, the relative density distribution of the powders is similar to the experimental results.

show abstract

Calibration of powder constitutive model using digital image correlation validated for hollow hemisphere of lead zirconate titanate

Cited by 2 publications

References 51 publications

Polymer-based graphene composite molding: a review

Polymer-based graphene composite molding: a review

Inverse Identification of Drucker–Prager Cap Model for Ti-6Al-4V Powder Compaction Considering the Shear Stress State

Contact Info

Product

Resources

About