Finite element modelling of crack propagation in metal powder compaction using Mohr–Coulomb and Elliptical Cap yield criteria

Tahir, Suraya Mohd; Ariffin, Ahmad Kamal; Anuar, M. S.

doi:10.1016/j.powtec.2010.04.033

Cited by 17 publications

(6 citation statements)

References 31 publications

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“…The application of ANN in the materials science engineering research has recently caught attention in the research literature [18][19][20][21][22][23][25][26][27][28][29].…”

Section: Finite Element Methods (Fem) and Artificial Neural Network (Ann)mentioning

confidence: 99%

Numerical Predictions of the Mechanical Properties of A356-SiC Composites Fabricated by Powder Metallurgy

Nassar

2016

T FAMENA

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SummaryPure aluminum nanocomposite reinforced with silicon carbide was produced by powder metallurgy process. The mechanical behavior of this composite was modelled and experimentally investigated. Measurements of density, tensile properties, and hardness showed that the tensile strength and the porosity of composites increased with an increase in the amount of nanoparticles; however, aluminum ductility decreased. On the other hand, the elongation percentage remains constant with an increase in the percentage of nanoparticles. Wear resistance of composite samples was higher than that of aluminium alloy. In the current research, a technique based on Artificial Neural Network (ANN) and Finite Element Method (FEM) was applied for the prediction of mechanical properties. It was observed that prediction results obtained in this study are consistent with the real measurements performed on composites.

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“…The application of ANN in the materials science engineering research has recently caught attention in the research literature [18][19][20][21][22][23][25][26][27][28][29].…”

Section: Finite Element Methods (Fem) and Artificial Neural Network (Ann)mentioning

confidence: 99%

Numerical Predictions of the Mechanical Properties of A356-SiC Composites Fabricated by Powder Metallurgy

Nassar

2016

T FAMENA

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“…Since Walker first proposed the linear relationship between the relative volume of the powder and the logarithm of the compaction pressure based on experiments, various formulas have been proposed to predict the quantitative relationship between compaction pressure and relative density. However, it proved difficult to quantitatively characterize the local density distribution, stress distribution, and particle flow evolution process of the green body in the powder forming process with physical experiments, due to the geometric, material, and contact nonlinearities [7][8][9][10][11]. In this context, various numerical models describing the forming of metal powders have been proposed.…”

Section: Introductionmentioning

confidence: 99%

A Study of Compaction Densification Behavior of Composite Particles by Multiparticle Finite Element Method

Han

et al. 2022

Mathematical Problems in Engineering

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In this paper, 3D particulate scale modelling on the die compaction of DEM generated initial packings of both soft and hard particles was conducted by employing the multiparticle finite element method (MPFEM). The effects of initial packing structures as well as the compaction pressure on the macroscopic and microscopic properties of the whole powder mass and local structures were investigated. In addition, corresponding physical experiments were carried out for model validation. The results show that the compact obtained from the initial dense packing under vibration undergoes yielding stage earlier than that with natural initial packing (without vibration), and the relative density is much higher. Pores that are significantly smaller and with more uniform size and homogenous stress distribution are observed in the former case. Highest stress regions occur in most cases at a grain boundary with large curvature after deformation. Moreover, the high stress in the central part of both soft and hard particles during compaction is significantly reduced after pressure unloading, reaching a new force balance. In this case, the stress is concentrated mainly at the corners of the deformed particles, which creates the risk of cracking during subsequent sintering at either the contact region between particles or the corners. The numerical results are found to be in good agreement with those from physical experiments, confirming the robustness and reliability of the numerical model used in the simulations.

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“…Moreover, the microscopic dynamic characteristics of particles cannot be studied during physical experiments, which hinder the detailed investigation of translation, rotation, interaction force, and deformation behavior of particles. Moreover, geometric nonlinearity, material nonlinearity, and contact nonlinearity of the forming process raise difficulties in the physical experiments [8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Particulate Scale Multiparticle Finite Element Method Modeling on the 2D Compaction and Release of Copper Powder

Li-wen

Han

Liu

et al. 2019

Mathematical Problems in Engineering

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Herein, two-dimensional (2D) single-action die compaction process of copper (Cu) powder was simulated by the multiparticle finite element method (MPFEM) at particulate scale. The initial packing structure, generated by the discrete element method (DEM), was used as an input for the FEM model, where the mesh division of each particle was discretized. The evolution of macro- and microscopic properties, such as relative density, stress distribution, particle deformation, void filling behavior, and force transmission, during compaction and pressure release processes have been systematically studied. The results revealed that the force is mainly concentrated on largely deformed regions of the particles during compaction and formed a contact force network, which hindered the densification process. In the compact, the shorter side of the large void edges rendered higher stress than the longer side. On the other hand, the stress distribution of small void edges remained uniform. After pressure release, large residual stress was observed at the contact area of the adjacent particles and the maximum stress was observed at the particles’ edges. Moreover, the residual stress did not proceed to the interior of the particles. Meanwhile, the stress of large void edges has been completely released but exhibited a nonuniform distribution. The smaller fraction of void filling resulted in a larger reduction of the released stress after pressure removal. Also, the particles closer to the upper die exhibited higher average equivalent von Mises stress inside the particles during compaction and pressure release processes.

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Finite element modelling of crack propagation in metal powder compaction using Mohr–Coulomb and Elliptical Cap yield criteria

Cited by 17 publications

References 31 publications

Numerical Predictions of the Mechanical Properties of A356-SiC Composites Fabricated by Powder Metallurgy

Numerical Predictions of the Mechanical Properties of A356-SiC Composites Fabricated by Powder Metallurgy

A Study of Compaction Densification Behavior of Composite Particles by Multiparticle Finite Element Method

Particulate Scale Multiparticle Finite Element Method Modeling on the 2D Compaction and Release of Copper Powder

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