A new model for heat transfer through the contact network of randomly packed granular material

Liang, Yuanbo; Li, Xikui

doi:10.1016/j.applthermaleng.2014.08.063

Cited by 24 publications

(12 citation statements)

References 26 publications

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“…Conductive heat flow and thermo-mechanical coupling between DEM particles in contact for modeling dry solids or individual particle assemblies has been theoretically and experimentally studied and implemented in DEM codes [2,8,11,14,27,29,31,33]. Thermal conductivity of granular media was also numerically studied in the presence of stagnant interstitial fluids via thermal particle dynamics simulation [30].…”

Section: Introductionmentioning

confidence: 99%

Formulation and implementation of coupled forced heat convection and heat conduction in DEM

Tomac

Gutierrez

2015

Acta Geotech.

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This paper presents the development, implementation and verification of a coupled convective-conductive heat flow and transport model in the discrete element method (DEM). Thermal conduction is already available in DEM codes such as the particle flow code (PFC). However, current DEM codes rarely account for convective heat transport. There are many important phenomena in different applications that involve convective heat transport due to flow of fluid through permeable solid material, where the fluid and the permeable solids have different initial temperatures. Heat transfer from convection is dependent on the fluid flow velocity through existing and new instantaneously forming flow paths in solid and is typically much faster than conduction. The complete formulation of the heat convection model, its implementation and coupling with fluid flow and heat conduction in PFC 2D , and its validation are described in detail. While DEM has been widely used for studying fundamental mechanisms in geomaterials, little effort has been devoted toward extending DEM for studying coupling between conductive heat flow and convective heat transport problems. The developments presented in this paper will enable application of DEM to study coupled hydro-thermo-mechanical processes in geomaterials such as in geothermal systems, hydrocarbon production, environmental engineering and nuclear waste storage.

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Section: Introductionmentioning

confidence: 99%

Formulation and implementation of coupled forced heat convection and heat conduction in DEM

Tomac

Gutierrez

2015

Acta Geotech.

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“…However, this assumption proves to generate valid results in heat transfer analysis of packed beds [14]. Moreover, when particles are heated up and sintered together, this model can no longer predict the heat conduction coefficients for neighboring particles accurately and therefore needs to be updated.…”

Section: Physical Modeling For Virtual Manufacturing Systems and Procmentioning

confidence: 99%

“…Although particle-scale heat transfer analysis is essential for an accurate simulation of the SLS process. Studies have shown that the effect of individual particle contact areas can be effectively averaged over a large number of particles in areas with moderate temperature gradients [14]. The hierarchical adaptive DEM replaces particle-level elements with larger discrete elements if their temperature falls below a specified amount.…”

Section: Physical Modeling For Virtual Manufacturing Systems and Procmentioning

confidence: 99%

“…According to Moser et al [19], heat conduction between two contacting solid particles occurs both through the contact area and the thin gas layer around the contact area. Therefore, K ij can be written as K ij = K particle−particle ij + K particle−gas−particle ij (11) • The coefficient of heat conduction through the contact points between particles has been developed by Liang and Li [14] as:…”

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confidence: 99%

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

Gobal

Ravani

2017

AMM

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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 .

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“…Despite the above relation used in most of the thermal DEM researches [246,247,252,268], a thermal pipe contact model is developed in Particle Flow Code [57] in which heat flows between particles through a one-dimensional pipe. The contact conductance is defined as…”

Section: Thermal Contact Modelmentioning

confidence: 99%

The developments of multi-level computational methodologies for discrete element modelling of granular materials

Zhao¹

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A new model for heat transfer through the contact network of randomly packed granular material

Cited by 24 publications

References 26 publications

Formulation and implementation of coupled forced heat convection and heat conduction in DEM

Formulation and implementation of coupled forced heat convection and heat conduction in DEM

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

The developments of multi-level computational methodologies for discrete element modelling of granular materials

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