LPBF (Laser Powder Bed Fusion) Simulation

Category: Analysis | Consolidated Edition 2026-04-06
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LPBF (Laser Powder Bed Fusion) Simulation

Theory and Physics

Overview

🧑‍🎓

Professor! Today's topic is LPBF (Laser Powder Bed Fusion) simulation, right? What is it all about?


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LPBF (Laser Powder Bed Fusion), also known as SLM, is a metal 3D printing technology. It simulates the transient thermal process of powder melting and solidification by laser to predict residual stress, deformation, and defects.


🧑‍🎓

Now I understand what my senior meant when he said, "At least make sure you get the metal part right."


Governing Equations


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This can be expressed mathematically like this.


$$\rho c_p \frac{\partial T}{\partial t} = \nabla\cdot(k\nabla T) + Q_{laser}$$

🧑‍🎓

Hmm, just the equation doesn't really click for me... What does it represent?


🎓

Gaussian heat source model:



$$Q(r) = \frac{2AP}{\pi r_0^2}\exp\left(-\frac{2r^2}{r_0^2}\right)$$

Theoretical Foundation

🧑‍🎓

I've heard of "theoretical foundation," but I might not have properly understood it...


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LPBF (Laser Powder Bed Fusion) simulation is formulated as a coupled problem of thermodynamics, solid mechanics, and fluid dynamics. The physical phenomena of the manufacturing process span multiple time and spatial scales, requiring an appropriate combination of macro-scale continuum models and meso/micro-scale material models. The goal is to quantitatively predict the causal relationship between process parameters (temperature, velocity, load, etc.) and product quality (dimensional accuracy, defects, mechanical properties).


🧑‍🎓

I see... Laser Powder Bed Fusion seems simple at first glance, but it's actually very profound.


Material Constitutive Laws

🧑‍🎓

Professor, please teach me about "Material Constitutive Laws"!


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The accuracy of manufacturing process simulation heavily depends on the fidelity of the material model. It is necessary to properly define elastoplastic constitutive laws, creep laws, phase transformation models, etc., as functions of temperature and strain rate. Data obtained from material testing (tensile, compression, torsion) is fitted, and validity in extrapolation ranges is verified. Thermodynamic databases such as JMatPro and Thermo-Calc are also utilized.


🧑‍🎓

I see... Manufacturing process simulation seems simple at first glance, but it's actually very profound.


Governing Equations for the Manufacturing Process


🎓

Manufacturing process simulation is formulated as a coupled problem of thermodynamics, fluid dynamics, and solid mechanics.



Heat Conduction Equation (Energy Conservation)

🧑‍🎓

What exactly is the heat conduction equation?



$$ \rho c_p \frac{\partial T}{\partial t} + \rho c_p \mathbf{v} \cdot \nabla T = \nabla \cdot (k \nabla T) + Q $$


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Here, $T$ is temperature, $\mathbf{v}$ is the material velocity field, $k$ is thermal conductivity, and $Q$ is internal heat generation (Joule heating, latent heat, frictional heat, etc.).


🧑‍🎓

Now I understand what my senior meant when he said, "At least make sure you get the manufacturing process simulation right."



Solidification and Phase Change

🧑‍🎓

Please teach me about "Solidification and Phase Change"!


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During the solidification process, the release/absorption of latent heat significantly affects the temperature field. Formulation using the enthalpy method:



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This can be expressed mathematically like this.


$$ H(T) = \int_0^T \rho c_p(T') \, dT' + \rho L f_l(T) $$

🧑‍🎓

Hmm, just the equation doesn't really click for me... What does it represent?


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Here, $L$ is the latent heat, and $f_l(T)$ is the liquid fraction (taking a value between 0 and 1 in the solid-liquid coexistence region).




Constitutive Law for Plastic Deformation

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What exactly is the constitutive law for plastic deformation?


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Plastic deformation of metals is described by constitutive laws such as the Johnson-Cook model:



$$ \sigma_y = (A + B\varepsilon_p^n)(1 + C \ln \dot{\varepsilon}^*)(1 - T^{*m}) $$


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$A$: Initial yield stress, $B$: Hardening coefficient, $n$: Hardening exponent, $C$: Strain rate sensitivity, $m$: Thermal softening exponent.


🧑‍🎓

After hearing all this, I finally understand why manufacturing process simulation is so important!




Flow Analysis (Filling/Casting)

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