Research graph
References from Modeling lack-of-fusion (LoF) defects where they are not expected: Sparse, stochastic LoF defects in laser powder bed fusion Ti-6Al-4V. Local targets link to admitted publications; unresolved targets remain external evidence.
Defect structure process maps for laser powder bed fusion additive manufacturing
2020 · External reference
Prediction of lack-of-fusion porosity for powder bed fusion
2017 · External reference
Critical instability at moving keyhole tip generates porosity in laser melting
10.1126/science.abd1587 · 2020 · External reference
Evolution of powder-entrapped pores in Ti–6Al–4V fabricated with powder bed fusion-laser beam process
2025 · External reference
Impact of melt pool geometry variability on lack-of-fusion porosity and fatigue life in powder bed fusion-laser beam Ti–6Al–4V
2024 · External reference
Fatigue-based process window for laser beam powder bed fusion additive manufacturing
10.1016/j.ijfatigue.2024.108428 · 2024 · External reference
Invited Review Article: Review of the formation and impact of flaws in powder bed fusion additive manufacturing
2020 · External reference
Fluid and particle dynamics in laser powder bed fusion
10.1016/j.actamat.2017.09.051 · 2018 · External reference
Laser powder-bed fusion additive manufacturing: Physics of complex melt flow and formation mechanisms of pores, spatter, and denudation zones
10.1016/j.actamat.2016.02.014 · 2016 · External reference
Multiscale modeling of powder bed–based additive manufacturing
10.1146/annurev-matsci-070115-032158 · 2016 · External reference
Observation of spatter-induced stochastic lack-of-fusion in laser powder bed fusion using in situ process monitoring
2023 · External reference
Numerical and analytical investigation on meltpool temperature of laser-based powder bed fusion of IN718
10.1016/j.ijheatmasstransfer.2021.121477 · 2021 · External reference
Numerical simulation in the melt pool evolution of laser powder bed fusion process for Ti6Al4V
10.3390/ma15217585 · 2022 · External reference
Modeling of solidification microstructure evolution in laser powder bed fusion fabricated 316L stainless steel using combined computational fluid dynamics and cellular automata
2019 · External reference
Three-dimensional prediction of lack-of-fusion porosity volume fraction and morphology for powder bed fusion additively manufactured Ti–6Al–4V
10.1007/s40192-024-00347-5 · 2024 · External reference
Analytical probabilistic modeling of additive manufacturing-induced process defects and experimental validation
2024 · External reference
Analytical prediction of lack-of-fusion porosity including uncertainty and variable melt pools for powder bed fusion
2025 · External reference
Process uncertainty analysis of stochastic lack-of-fusion defects in laser powder bed fused Inconel 718
10.1007/s40192-025-00421-6 · 2025 · External reference
Statistical parameterized physics-based machine learning digital shadow models for laser powder bed fusion process
2024 · External reference
Defect generation and propagation mechanism during additive manufacturing by selective beam melting
10.1016/j.jmatprotec.2014.05.002 · 2014 · External reference
Qualification of AM parts: Extreme value statistics applied to tomographic measurements
10.1016/j.matdes.2017.05.091 · 2017 · External reference
More than 25 years of extreme value statistics for defects: Fundamentals, historical developments, recent applications
10.1016/j.ijfatigue.2021.106407 · 2021 · External reference
Extreme value statistics with uncertainty to assess porosity equivalence across additively manufactured parts
10.1016/j.ress.2025.111207 · 2025 · External reference
Assessing witness coupon-specimen equivalency for volumetric defects: An investigation on location dependency in additive manufacturing
2025 · External reference
Raptor: A Python library for porosity predictions in additive manufacturing
10.21105/joss.09874 · 2026 · External reference
SciPy 1.0: fundamental algorithms for scientific computing in Python
10.1038/s41592-019-0686-2 · 2020 · External reference
Finding the limits of single-track deposition experiments: An experimental study of melt pool characterization in laser powder bed fusion
10.1016/j.matdes.2023.112069 · 2023 · External reference
Scikit-image: image processing in Python
10.7717/peerj.453 · 2014 · External reference
Assessing the importance of the choice threshold in quantifying market risk under the POT approach (EVT)
10.1057/s41283-022-00106-w · 2023 · External reference
Models for exceedances over high thresholds
10.1111/j.2517-6161.1990.tb01796.x · 1990 · External reference
Understanding the role of geometry and interlayer cooling time on microstructure variations in LPBF Ti6Al4V through part-scale scan-resolved thermal modeling
2024 · External reference
Three-dimensional prediction of lack-of-fusion porosity volume fraction and morphology for powder bed fusion additively manufactured Ti–6Al–4V
10.1007/s40192-024-00347-5 · ExternalCitation · doi-reference
Process uncertainty analysis of stochastic lack-of-fusion defects in laser powder bed fused Inconel 718
10.1007/s40192-025-00421-6 · ExternalCitation · doi-reference
Laser powder-bed fusion additive manufacturing: Physics of complex melt flow and formation mechanisms of pores, spatter, and denudation zones
10.1016/j.actamat.2016.02.014 · ExternalCitation · doi-reference
Fluid and particle dynamics in laser powder bed fusion
10.1016/j.actamat.2017.09.051 · ExternalCitation · doi-reference
More than 25 years of extreme value statistics for defects: Fundamentals, historical developments, recent applications
10.1016/j.ijfatigue.2021.106407 · ExternalCitation · doi-reference
Fatigue-based process window for laser beam powder bed fusion additive manufacturing
10.1016/j.ijfatigue.2024.108428 · ExternalCitation · doi-reference
Numerical and analytical investigation on meltpool temperature of laser-based powder bed fusion of IN718
10.1016/j.ijheatmasstransfer.2021.121477 · ExternalCitation · doi-reference
Defect generation and propagation mechanism during additive manufacturing by selective beam melting
10.1016/j.jmatprotec.2014.05.002 · ExternalCitation · doi-reference
Qualification of AM parts: Extreme value statistics applied to tomographic measurements
10.1016/j.matdes.2017.05.091 · ExternalCitation · doi-reference
Finding the limits of single-track deposition experiments: An experimental study of melt pool characterization in laser powder bed fusion
10.1016/j.matdes.2023.112069 · ExternalCitation · doi-reference
Extreme value statistics with uncertainty to assess porosity equivalence across additively manufactured parts
10.1016/j.ress.2025.111207 · ExternalCitation · doi-reference
SciPy 1.0: fundamental algorithms for scientific computing in Python
10.1038/s41592-019-0686-2 · ExternalCitation · doi-reference
Assessing the importance of the choice threshold in quantifying market risk under the POT approach (EVT)
10.1057/s41283-022-00106-w · ExternalCitation · doi-reference
Models for exceedances over high thresholds
10.1111/j.2517-6161.1990.tb01796.x · ExternalCitation · doi-reference
Critical instability at moving keyhole tip generates porosity in laser melting
10.1126/science.abd1587 · ExternalCitation · doi-reference
Multiscale modeling of powder bed–based additive manufacturing
10.1146/annurev-matsci-070115-032158 · ExternalCitation · doi-reference
Raptor: A Python library for porosity predictions in additive manufacturing
10.21105/joss.09874 · ExternalCitation · doi-reference
Numerical simulation in the melt pool evolution of laser powder bed fusion process for Ti6Al4V
10.3390/ma15217585 · ExternalCitation · doi-reference
Scikit-image: image processing in Python
10.7717/peerj.453 · ExternalCitation · doi-reference
