Discrete element modeling of metallic powder sintering

Martín, Christophe; Schneider, L. C. R.; Olmos, L.; Bouvard, D.

doi:10.1016/j.scriptamat.2006.05.017

Cited by 126 publications

(100 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…[24,28,31,32], the normal force N s and the tangential force T s acting at the interface of two contacting particles are…”

Section: Interacting Force Between Adjacent Particlesmentioning

confidence: 99%

“…Due to its natural treatment at a particle length scale, recent discrete element method (DEM) [24][25][26][27] has shown its capability to study the effect of rearrangement not only in macroscopic aspects, such as densification rates [24,26,28], viscosities [26,29], anisotropic sintering [30], constrained sintering [31], but also in microscopic aspect of crack evolution during sintering [26,32]. This method has also shed some lights on our understanding of certain problems about agglomerates.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Factors influencing particle agglomeration during solid-state sintering

Wang

Chen

2012

Acta Mech Sin

View full text Add to dashboard Cite

Discrete element method (DEM) is used to study the factors affecting agglomeration in three-dimensional copper particle systems during solid-state sintering. A new parameter is proposed to characterize agglomeration. The effects of a series of factors are studied, including particle size, size distribution, inter-particle tangential viscosity, temperature, initial density and initial distribution of particles on agglomeration. We find that the systems with smaller particles, broader particle size distribution, smaller viscosity, higher sintering temperature and smaller initial density have stronger particle agglomeration and different distributions of particles induce different agglomerations. This study should be very useful for understanding the phenomenon of agglomeration and the micro-structural evolution during sintering and guiding sintering routes to avoid detrimental agglomeration.

show abstract

“…[24,28,31,32], the normal force N s and the tangential force T s acting at the interface of two contacting particles are…”

Section: Interacting Force Between Adjacent Particlesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Factors influencing particle agglomeration during solid-state sintering

Wang

Chen

2012

Acta Mech Sin

View full text Add to dashboard Cite

show abstract

“…23-27 were developed for mono-disperse particles. However, Martin et al showed that by replacing R with the equivalent radius of the two contacting particles R * = R 1 R 2 /(R 1 + R 2 ) the above model can be used for any particle size distribution [16].…”

Section: Physical Modeling For Virtual Manufacturing Systems and Procmentioning

confidence: 99%

An Adaptive Discrete Element Method for Physical Modeling of the Selective Laser Sintering Process

Gobal

Ravani

2017

AMM

View full text Add to dashboard Cite

Abstract. Selective Laser Sintering (SLS) has recently become one of the fastest growing additive manufacturing processes due to its capability of fabricating metal parts with high dimensional accuracy and surface quality. Physical modeling of selective laser sintering plays an important role in properly controlling the process parameters to achieve desired product properties. In this paper, we present a 3 dimensional, adaptive discrete element method for simulation of the SLS process on personal computers. The presented method models the laser-powder interaction at particle level, achieving high simulation accuracy while adaptively increasing the discrete element size as local temperatures drop inside the powder bed for improved efficiency. Numerical shape functions are developed for calculating individual particle temperatures at any point during the simulation. Results show that this physical model improves the runtime significantly in virtual simulation of SLS process without loss of simulation accuracy .

show abstract

“…Considering the relationship between the diffusion and stress state Coble (1958), Johnson (1969) and De Jonghe & Rahaman (1988) formulated mathematical models for sintering force between two particles. The discrete element method provided a suitable framework for more general application of these models (Parhami and McMeeking, 1998;Martin et al, 2006). …”

Section: Contact Interaction Model For Sinteringmentioning

confidence: 99%

“…In the paper of the Parhami and McMeeking (1998) it have been implemented the particle sintering model derived by Coble (1958) in the quasi-static formulation of the lattice type discrete element method to study free and pressureassisted sintering. The concepts of Parhami and McMeeking have been incorporated in the dynamic formulation of the discrete element method by Martin et al (2006) and used for investigation of free sintering of metallic powders. A similar model has been applied by Henrich et al (2007) to simulate the free and pressure-assisted solid state sintering of powders with special attention to the grain rearrangement during sintering.…”

Section: Introductionmentioning

confidence: 99%

Simulation of Powder Sintering Using a Discrete Element Model

Rojek¹,

Nosewicz²,

Pietrzak³

et al. 2013

Acta Mechanica Et Automatica

View full text Add to dashboard Cite

This paper presents numerical simulation of powder sintering. The numerical model introduced in this work employs the discrete element method which assumes that material can be modelled by a large assembly of discrete elements (particles) of spherical shape interacting among one another. Modelling of sintering requires introduction of the cohesive interaction among particles representing interparticle sintering forces. Numerical studies of sintering have been combined with experimental studies which provided data for calibration and validation of the model. In the laboratory tests evolution of microstructure and density during sintering have been studied. Comparison of numerical and experimental results shows a good performance of the numerical model developed.

show abstract

Discrete element modeling of metallic powder sintering

Cited by 126 publications

References 15 publications

Factors influencing particle agglomeration during solid-state sintering

Factors influencing particle agglomeration during solid-state sintering

An Adaptive Discrete Element Method for Physical Modeling of the Selective Laser Sintering Process

Simulation of Powder Sintering Using a Discrete Element Model

Contact Info

Product

Resources

About