A dynamic volumetric heat source model for laser additive manufacturing

Research output: Contribution to journalArticlepeer-review

Abstract

Melt pool scale models of laser powder bed fusion (LPBF) offer insights into the process-structure-property relationships in additive manufacturing (AM). These models often neglect physical phenomena such as vapor cavity formation and fluid mechanics to reduce computational demands. Instead, volumetric heat source models are used to represent the effects that these phenomena have on the predicted melt pool dimensions. Generally, the dimensions and effective absorption of the volumetric heat source are calibrated to reproduce melt pool dimensions observed in metallographic cross sections taken from single-track experiments on bare plate. However, the transient nature of LPBF often deviates the melt pool dimensions from the assumed steady-state conditions of single-track experiments, motivating the need for a volumetric heat source model that more generally considers the dynamic relationship between melt pool shape and laser-material interactions. Here, we introduce a two-parameter volumetric heat source model that integrates several existing models into a generalized mathematical expression, providing independent control over the radial heat distribution via the parameter k and the volumetric shape of the heat source via the parameter m. This parameterization enables the calibration of melt pool shape predictions through simultaneous adjustment of these parameters, while keeping the radial heat source dimensions consistent with the experimental spot size (D4σ) and constraining the heat source depth and absorption to physically derived expressions for cavities. Consequently, the proposed volumetric heat source model adapts to changes in the local melt pool conditions due to scanning strategy and part geometry by dynamically adjusting the heat source depth and absorption. We demonstrate the capabilities of the proposed model through comparisons with a collection of experiments from the Additive Manufacturing Benchmark (AMBench).

Original languageEnglish
Article number104531
JournalAdditive Manufacturing
Volume95
DOIs
StatePublished - Sep 5 2024

Funding

The authors would like to acknowledge Jordan Weaver and Brandon Lane at NIST (National Institute of Standards and Technology) for the helpful discussion of absorption physics and providing the experimental data presented in this work. Research was performed at the U.S. Department of Energy's Manufacturing Demonstration Facility, located at Oak Ridge National Laboratory. This manuscript has been authored by UT-Battelle, LLC under Contract No. DE-AC05\u201300OR22725 with the U.S. Department of Energy. Research was co-sponsored by the U.S. Department of Energy Office of Energy Efficiency and Renewable Energy, Advanced Materials and Manufacturing Technologies Office. This research was also supported by the Exascale Computing Project (17-SC-20-SC), a collaborative effort of the U.S. DOE Office of Science and the NNSA. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/doe-public-access-plan). Research was performed at the U.S. Department of Energy\u2019s Manufacturing Demonstration Facility, located at Oak Ridge National Laboratory. This manuscript has been authored by UT-Battelle, LLC under Contract No. DE-AC05-00OR22725 with the U.S. Department of Energy. Research was co-sponsored by the U.S. Department of Energy Office of Energy Efficiency and Renewable Energy, Advanced Materials and Manufacturing Technologies Office. This research was also supported by the Exascale Computing Project (17-SC-20-SC), a collaborative effort of the U.S. DOE Office of Science and the NNSA.

FundersFunder number
United States Government
National Nuclear Security Administration
DOE Public Access Plan
Office of Energy Efficiency and Renewable Energy
U.S. Department of Energy
National Institute of Standards and Technology
Advanced Materials and Manufacturing Technologies Office17-SC-20-SC
Advanced Materials and Manufacturing Technologies Office
Oak Ridge National LaboratoryDE-AC05–00OR22725
Oak Ridge National Laboratory

    Keywords

    • Additive manufacturing
    • Heat source calibration
    • Heat Transfer
    • Laser powder bed fusion
    • Process modeling

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