FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4292539930> ?p ?o ?g. }

• W4292539930 endingPage "103075" @default.
• W4292539930 startingPage "103075" @default.
• W4292539930 abstract "In-situ monitoring technologies for laser powder bed fusion (LPBF) additive manufacturing often face one key challenge, extracting the ultrafast melt pool (MP) signatures for understanding the localized part properties. Further, the spatial information of each monitored MP signature is essential for correlating the MP – part property. This spatial information is often unavailable especially from commercial LPBF printers. Many MP monitoring methods have been reported and utilized. However, very few of these have the MP’s spatial information. To overcome this challenge, in this work we report a method for spatially registering the key MP signatures (MP intensity, temperature, and area) to the monitored print parts. The MP signatures are obtained from our coaxial high-speed single-camera based two-wavelength imaging pyrometry (STWIP) system and the MP spatial information is obtained from an off-axis camera system. A machine learning aided image analysis method is employed to retrieve the spatial distribution of MPs within the corresponding part’s coordinates system. Then, the MP signature maps (MPSMs) are reconstructed by mapping the STWIP measured MP signatures to the registered MP coordinates. Further, a long short-term memory (LSTM) neural network is developed for estimating the layer surface topography from the registered MPSMs. The obtained results indicate that the layer surface topography can be more accurately estimated by using MP temperature signature rather than MP intensity and/or area signatures as in common practice. Our developed methods for MP monitoring, registration, and MP-surface topography prediction offer advanced capabilities for the online detection of process anomalies and part defects. • Multi-modal in-situ melt pool (MP) monitoring. • Data registration framework for large scale multilayer MP data. • In-situ MP signature significance, quantification, and analysis. • Accurate surface topography prediction using the registered MP data. • Applicability in in-situ part qualification." @default.
• W4292539930 created "2022-08-22" @default.
• W4292539930 creator A5006712472 @default.
• W4292539930 creator A5041759278 @default.
• W4292539930 creator A5089350699 @default.
• W4292539930 date "2022-10-01" @default.
• W4292539930 modified "2023-10-12" @default.
• W4292539930 title "Registration and fusion of large-scale melt pool temperature and morphology monitoring data demonstrated for surface topography prediction in LPBF" @default.
• W4292539930 cites W2006359199 @default.
• W4292539930 cites W2034251649 @default.
• W4292539930 cites W2064675550 @default.
• W4292539930 cites W2133059825 @default.
• W4292539930 cites W2194775991 @default.
• W4292539930 cites W2724418474 @default.
• W4292539930 cites W2772940940 @default.
• W4292539930 cites W2802356916 @default.
• W4292539930 cites W2809331526 @default.
• W4292539930 cites W2884691768 @default.
• W4292539930 cites W2887853904 @default.
• W4292539930 cites W2911964244 @default.
• W4292539930 cites W2942539847 @default.
• W4292539930 cites W3024761859 @default.
• W4292539930 cites W3027227258 @default.
• W4292539930 cites W4200157793 @default.
• W4292539930 cites W4210817234 @default.
• W4292539930 cites W4220985046 @default.
• W4292539930 cites W4249271370 @default.
• W4292539930 cites W4280619553 @default.
• W4292539930 cites W4281739937 @default.
• W4292539930 cites W4287851412 @default.
• W4292539930 doi "https://doi.org/10.1016/j.addma.2022.103075" @default.
• W4292539930 hasPublicationYear "2022" @default.
• W4292539930 type Work @default.
• W4292539930 citedByCount "1" @default.
• W4292539930 countsByYear W42925399302022 @default.
• W4292539930 crossrefType "journal-article" @default.
• W4292539930 hasAuthorship W4292539930A5006712472 @default.
• W4292539930 hasAuthorship W4292539930A5041759278 @default.
• W4292539930 hasAuthorship W4292539930A5089350699 @default.
• W4292539930 hasBestOaLocation W42925399301 @default.
• W4292539930 hasConcept C11135259 @default.
• W4292539930 hasConcept C121332964 @default.
• W4292539930 hasConcept C138885662 @default.
• W4292539930 hasConcept C158525013 @default.
• W4292539930 hasConcept C192562407 @default.
• W4292539930 hasConcept C205649164 @default.
• W4292539930 hasConcept C2524010 @default.
• W4292539930 hasConcept C2776799497 @default.
• W4292539930 hasConcept C2778755073 @default.
• W4292539930 hasConcept C33923547 @default.
• W4292539930 hasConcept C41895202 @default.
• W4292539930 hasConcept C499950583 @default.
• W4292539930 hasConcept C54355233 @default.
• W4292539930 hasConcept C57879066 @default.
• W4292539930 hasConcept C58640448 @default.
• W4292539930 hasConcept C86803240 @default.
• W4292539930 hasConceptScore W4292539930C11135259 @default.
• W4292539930 hasConceptScore W4292539930C121332964 @default.
• W4292539930 hasConceptScore W4292539930C138885662 @default.
• W4292539930 hasConceptScore W4292539930C158525013 @default.
• W4292539930 hasConceptScore W4292539930C192562407 @default.
• W4292539930 hasConceptScore W4292539930C205649164 @default.
• W4292539930 hasConceptScore W4292539930C2524010 @default.
• W4292539930 hasConceptScore W4292539930C2776799497 @default.
• W4292539930 hasConceptScore W4292539930C2778755073 @default.
• W4292539930 hasConceptScore W4292539930C33923547 @default.
• W4292539930 hasConceptScore W4292539930C41895202 @default.
• W4292539930 hasConceptScore W4292539930C499950583 @default.
• W4292539930 hasConceptScore W4292539930C54355233 @default.
• W4292539930 hasConceptScore W4292539930C57879066 @default.
• W4292539930 hasConceptScore W4292539930C58640448 @default.
• W4292539930 hasConceptScore W4292539930C86803240 @default.
• W4292539930 hasLocation W42925399301 @default.
• W4292539930 hasOpenAccess W4292539930 @default.
• W4292539930 hasPrimaryLocation W42925399301 @default.
• W4292539930 hasRelatedWork W131651156 @default.
• W4292539930 hasRelatedWork W2018292539 @default.
• W4292539930 hasRelatedWork W2032399540 @default.
• W4292539930 hasRelatedWork W2071374204 @default.
• W4292539930 hasRelatedWork W2099421762 @default.
• W4292539930 hasRelatedWork W2551537403 @default.
• W4292539930 hasRelatedWork W2801275318 @default.
• W4292539930 hasRelatedWork W2945763285 @default.
• W4292539930 hasRelatedWork W39160775 @default.
• W4292539930 hasRelatedWork W579370048 @default.
• W4292539930 hasVolume "58" @default.
• W4292539930 isParatext "false" @default.
• W4292539930 isRetracted "false" @default.
• W4292539930 workType "article" @default.