3D FE simulation for temperature evolution in the selective laser sintering process

Kolossov, Serguei; Boillat, Éric; Glardon, Rémy; Fischer, Pascal; Locher, Martin

doi:10.1016/j.ijmachtools.2003.10.019

Cited by 303 publications

(178 citation statements)

References 10 publications

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“…8 shows the temperatures of each powder particle at a point during sintering (the red line shows the location of the laser beam at that point in time). The trend of this figure and the numerical values of the particle temperatures compared with results provided by Kolossov et al [11] and Xing et al [33] prove the credibility of our model for use in physical modeling of the SLS process.…”

supporting

confidence: 79%

“…Because of the porous nature of granular materials, the laser is able to penetrate up to several particle diameters' deep into the powder bed [11]. In this work, the results of the Monte Carlo raytracing algorithm developed by Moser et al [18] is used to obtain the optical absorptivity and extinction coefficients of the powder bed.…”

Section: Applied Mechanics and Materials Vol 869 75mentioning

confidence: 99%

“…Due to the stochastic and porous nature of the powder bed, regular Finite Element Analysis (FEA) methods fail to provide acceptable solutions to the laser-powder interaction problem. Kolossov et al [11] and Xing et al [33] used fixed finite element models with temperature dependent properties and modeled the laser beam as a moving Gaussian heat input acting on top of the FE grid. Their models predict the peak temperature of the heated powder bed relatively accurately but fails to predict the transition of the particle level mictrostructure during the SLS process.…”

Section: Introductionmentioning

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:…”

mentioning

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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supporting

confidence: 79%

Section: Applied Mechanics and Materials Vol 869 75mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

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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“…The glass fiber preform is modeled using the continuous media theory for selective laser sintering developed by Kolossov et al [20], where the degree of fiber densification is defined by a sintering potential given by…”

Section: Numerical Simulationmentioning

confidence: 99%

The Laser Interlaminar Reinforcement of Continuous Glass Fiber Composites

Bian

Satoh

Yao

2015

Journal of Manufacturing Science and Engineering

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Inter-laminar crack initiation and propagation is a major mode of failure in laminate fiber reinforced composites. A laser reinforcement process is developed to bond layers of glass fabric prior to the vacuum assisted transfer molding of laminate composites. Glass fabric layers are bonded by fusing a dense glass bead to fibers within the laser focal volume, forming a 3D reinforcement architecture. Coupled heat transfer and viscous flow modeling is used to capture the temperature and morphology evolution of glass during the reinforcement process under experimentally observed conditions. Mode I double cantilever beam testing is performed to quantify the effects of laser inter-laminar reinforcements on composite delamination resistance.Post mortem high resolution imaging of the fracture surface is used to characterize the toughening mechanism of the inter-laminar reinforcements. Improved delamination resistance of laser reinforced composites derives from crack arrest and deflection mechanisms, showing a positive correlation to the reinforcement thickness.

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A New and Efficient Multi‐Scale Simulation Architecture for Prediction of Performance Metrics for Parts Fabricated Using Additive Manufacturing

Pal¹,

Stueker²

2015

TMS2015 Supplemental Proceedings

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3D FE simulation for temperature evolution in the selective laser sintering process

Cited by 303 publications

References 10 publications

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

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

The Laser Interlaminar Reinforcement of Continuous Glass Fiber Composites

A New and Efficient Multi‐Scale Simulation Architecture for Prediction of Performance Metrics for Parts Fabricated Using Additive Manufacturing

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