Heat Source Modeling in Selective Laser Melting

Моделирование источника тепла при селективном лазерном плавлении
Steven Y. Liang, Hamid Garmestani, Elham Mirkoohi, Daniel E. Seivers
2019-06-26

double elliptical moving heat sourceheat source modelsmoving point heat sourceselective laser meltingtemperature-dependent thermal properties
Selective laser melting (SLM) is an emerging additive manufacturing (AM) technology for metals. Intricate three-dimensional parts can be generated from the powder bed by selectively melting the desired location of the powders. The process is repeated for each layer until the part is built. The necessary heat is provided by a laser. Temperature magnitude and history during SLM directly determine the molten pool dimensions, thermal stress, residual stress, balling effect, and dimensional accuracy. Laser-matter interaction is a crucial physical phenomenon in the SLM process. In this paper, five different heat source models are introduced to predict the three-dimensional temperature field analytically. These models are known as steady state moving point heat source, transient moving point heat source, semi-elliptical moving heat source, double elliptical moving heat source, and uniform moving heat source. The analytical temperature model for all of the heat source models is solved using three-dimensional differential equations of heat conduction with different approaches. The steady state and transient moving heat source are solved using a separation of variables approach. However, the rest of the models are solved by employing Green's functions. Due to the high temperature in the presence of the laser, the temperature gradient is usually high which has a substantial impact on thermal material properties. Consequently, the temperature field is predicted by considering the temperature sensitivity thermal material properties. Moreover, due to the repeated heating and cooling, the part usually undergoes several melting and solidification cycles, and this physical phenomenon is considered by modifying the heat capacity using latent heat of melting. Furthermore, the multi-layer aspect of the metal AM process is considered by incorporating the temperature history from the previous layer since the interaction of the layers have an impact on heat transfer mechanisms. The proposed temperature field models based on different heat source approaches are validated using experimental measurement of melt pool geometry from independent experimentations. A detailed explanation of the comparison of models is also provided. Moreover, the effect of process parameters on the balling effect is also discussed.
1
All models solve 3D heat conduction equations: steady-state and transient via separation of variables; semi-elliptical, double-elliptical and uniform via Green's functions.
2
Five analytical heat source models for SLM were formulated: steady-state moving point, transient moving point, semi-elliptical moving, double-elliptical moving, and uniform moving heat sources.
3
Latent heat of melting was included by modifying heat capacity to capture repeated melting and solidification cycles.
4
Multi-layer effects were modeled by incorporating temperature history from previous layers to account for inter-layer heat transfer interactions.
5
Temperature-dependent thermal material properties were incorporated to account for large temperature gradients during laser heating.
6
The paper provides a comparative analysis of the different heat source models and discusses how process parameters affect the balling effect.
7
The proposed temperature field models were validated against experimental melt-pool geometry measurements from independent experiments.

Heat source models for laser-material interaction in Selective Laser Melting (SLM)

Prediction of the three-dimensional temperature field and its effects (melt pool geometry, thermal gradients, thermal/material property dependence, latent-heat-modified heat capacity, multilayer thermal history) using five analytical moving heat-source formulations and validation against experimental melt-pool measurements

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2019-06-26
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Steven Y. Liang
Hamid Garmestani
Elham Mirkoohi
Daniel E. Seivers
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