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Fitting-Free Diagnosis of Conduction-Model Breakdown in Laser Powder Bed Fusion
Gisuk Hong1, Jaebong Cho1, Hyunbo Cho1
1Department of Industrial and Management Engineering, Pohang University of Science and Technology, 77 Cheongam-ro, Nam-gu, Pohang 37673, Republic of Korea.
Materials (Basel, Switzerland)
|August 13, 2026
Summary
Predicting melt-pool depth in laser powder bed fusion is challenging. This study validates a physics-based model by fixing absorptivity, improving accuracy and enabling alloy-specific predictions without calibration.
Area of Science:
- Materials Science
- Manufacturing Engineering
- Additive Manufacturing
Background:
- Melt-pool depth is critical for interlayer bonding and porosity in laser powder bed fusion (LPBF), directly impacting part qualification.
- Accurate prediction of melt-pool depth is essential but remains a significant challenge for current models.
- Existing fast conduction models often require absorptivity fitting, limiting their predictive power and turning them into calibration tools rather than validation models.
Purpose of the Study:
- To validate a moving-source conduction model for predicting melt-pool depth in LPBF by independently fixing absorptivity.
- To assess the model's accuracy across different alloys (IN718, IN625, 316L, Ti-6Al-4V) and identify regimes where it excels or underpredicts.
- To investigate the role of unmodeled transport phenomena, such as Marangoni flow, in melt-pool dynamics and their influence on absorptivity inference.
Main Methods:
- Utilized a physics-based, moving-source conduction model with independently fixed absorptivity values.
- Employed root-finding to locate the melt boundary, avoiding grid discretization errors.
- Analyzed 231 single tracks across various alloys, comparing model predictions with experimental depths and half-widths.
Main Results:
- The model accurately reproduced conduction-regime melt-pool depth and half-width to within a few percent.
- Underprediction increased significantly in the keyholing regime, suggesting the influence of unmodeled transport.
- Inferred absorptivity values were non-physical (above unity) for keyhole tracks, supporting the need for additional physics.
- Emulating downward convection as anisotropic effective diffusivity did not fully explain keyhole tracks, even with Marangoni flow enhancements.
Conclusions:
- The validated physics-based model offers a reliable method for predicting melt-pool depth in the conduction regime, with advantages for cross-alloy extrapolation.
- Keyholing behavior requires further investigation into unmodeled transport phenomena, with evidence suggesting Marangoni flow plays a role.
- The study provides a framework for fitting-free diagnosis of melt-pool dynamics and highlights the limitations of simple conduction models in keyholing regimes.

