Process Uncertainty Analysis of Stochastic Lack-of-Fusion Defects in Laser Powder Bed Fused Inconel 718

Abstract This manuscript introduces a computational framework to simulate the generation of stochastic lack-of-fusion (LoF) defects produced by random fluctuations in the melt pool geometry during laser powder bed fusion (LPBF). The framework facilitates the analysis of the relationship between the manufacturing process parameters and the resulting stochasticity in lack-of-fusion defects. Several sources of uncertainty in the LPBF process contribute to this stochasticity, and this analysis quantifies the aforementioned relationship. A spectral matching algorithm was developed to statistically reproduce experimentally observed melt pool fluctuations obtained from image segmentation of scan tracks. These fluctuations were coupled with an analytical mean melt pool geometry model to estimate dynamic melt pool behavior in LPBF IN718. The dynamic melt pool histories were employed to simulate LoF defects. The volume fraction of simulated LoF defects was validated against volume fractions from IN718 experimental builds reported in the literature. Parameter combinations in the power–velocity ( P – V ) and layer thickness–hatch ( L – H ) spaces were sampled with dynamic melt pool histories; statistical volume element (SVE) simulations were then executed, and the distributions of defect volume fraction, equivalent diameter and sphericity were constructed. The extreme values of both equivalent diameter and sphericity were noted to be present even near fully dense conditions in the P – V space. Stochastic LoF defects were found to occur within the accepted criterion curve in the L – H space, indicating the impact of melt pool fluctuations on the generation of stochastic LoF in nominally defect-free regimes. A sub-optimal process regime was identified in the L – H space. The proposed framework offers a way to assess the impact of parameter selection on LoF defect distributions to further advance the design, qualification and certification of LPBF parts.

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Publication Details

Journal
Integrating materials and manufacturing innovation
Published
2025-10-03
DOI
https://doi.org/10.1007/s40192-025-00421-6
Primary Topic
Additive Manufacturing Materials and Processes
Type
article
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article

Process Uncertainty Analysis of Stochastic Lack-of-Fusion Defects in Laser Powder Bed Fused Inconel 718

Caglar Oskay, George Weber, Brodan Richter, Joshua D. Pribe et al.
Integrating materials and manufacturing innovation
Additive Manufacturing Materials and Processes
article

Process Uncertainty Analysis of Stochastic Lack-of-Fusion Defects in Laser Powder Bed Fused Inconel 718

Caglar Oskay, George Weber, Brodan Richter, Joshua D. Pribe, Vamsi Subraveti
article en

Abstract

Abstract This manuscript introduces a computational framework to simulate the generation of stochastic lack-of-fusion (LoF) defects produced by random fluctuations in the melt pool geometry during laser powder bed fusion (LPBF). The framework facilitates the analysis of the relationship between the manufacturing process parameters and the resulting stochasticity in lack-of-fusion defects. Several sources of uncertainty in the LPBF process contribute to this stochasticity, and this analysis quantifies the aforementioned relationship. A spectral matching algorithm was developed to statistically reproduce experimentally observed melt pool fluctuations obtained from image segmentation of scan tracks. These fluctuations were coupled with an analytical mean melt pool geometry model to estimate dynamic melt pool behavior in LPBF IN718. The dynamic melt pool histories were employed to simulate LoF defects. The volume fraction of simulated LoF defects was validated against volume fractions from IN718 experimental builds reported in the literature. Parameter combinations in the power–velocity ( P – V ) and layer thickness–hatch ( L – H ) spaces were sampled with dynamic melt pool histories; statistical volume element (SVE) simulations were then executed, and the distributions of defect volume fraction, equivalent diameter and sphericity were constructed. The extreme values of both equivalent diameter and sphericity were noted to be present even near fully dense conditions in the P – V space. Stochastic LoF defects were found to occur within the accepted criterion curve in the L – H space, indicating the impact of melt pool fluctuations on the generation of stochastic LoF in nominally defect-free regimes. A sub-optimal process regime was identified in the L – H space. The proposed framework offers a way to assess the impact of parameter selection on LoF defect distributions to further advance the design, qualification and certification of LPBF parts.

Integrating materials and manufacturing innovationVol. 14(4)
Langley Research Center (US), University of St. Thomas - Minnesota (US), Vanderbilt University (US), Analytical Mechanics Associates (United States) (US), National Aeronautics and Space Administration (US)
Openalex Percentile: Top 72%
Additive Manufacturing Materials and Processes
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