Matches in SemOpenAlex for { <https://semopenalex.org/work/W4295709249> ?p ?o ?g. }
- W4295709249 endingPage "415" @default.
- W4295709249 startingPage "404" @default.
- W4295709249 abstract "In this work, a macro-micro VOF-PF (Volume of Fluid-Phase field) model is established to simulate the heat transfer, dendrite growth and Nb segregation during the laser IN718 deposition. According to calculated heat transfers, G increases, while Vp decreases, and the corresponding G×Vp decreases from top to bottom in the molten pool. The calculated the primary dendrite arm spacing (PDAS) using the PF model increases from top to bottom. Compared with other models, the calculated PDAS using the PF model considering the liquid-metal flow is closest to experiment measurements. During the dendrite growth, Nb is enriched in the interdendritic region, and finally is distributed in the droplet shape. The calculated actual solute distribution coefficient Cmin/Cmax decreases from 0.584 to 5.548 with the decrease of G×Vp, which follows the equilibrium solidification theory. According to dc/dy=G/ml, the liquidus slope ml is calculated as 0.05322wt.%/μm very close to the theoretical value 0.05394wt.%/μm. The simulated Nb concentrations in the matrix γ and Laves phases are 3.97wt.%, 13.3wt.% respectively, which are in good agreements with experimental 3.7wt.% and 13wt.%." @default.
- W4295709249 created "2022-09-14" @default.
- W4295709249 creator A5000359400 @default.
- W4295709249 creator A5017095431 @default.
- W4295709249 creator A5033156275 @default.
- W4295709249 creator A5039765869 @default.
- W4295709249 creator A5048010229 @default.
- W4295709249 creator A5052507597 @default.
- W4295709249 creator A5070724508 @default.
- W4295709249 creator A5073216396 @default.
- W4295709249 date "2022-11-01" @default.
- W4295709249 modified "2023-10-10" @default.
- W4295709249 title "Investigation of dendrite growth, Nb segregation during laser IN718 deposition via volume of fluid-phase field modeling" @default.
- W4295709249 cites W1593324923 @default.
- W4295709249 cites W1965566695 @default.
- W4295709249 cites W1980698989 @default.
- W4295709249 cites W1986750656 @default.
- W4295709249 cites W1991418998 @default.
- W4295709249 cites W1994317014 @default.
- W4295709249 cites W1997983712 @default.
- W4295709249 cites W2002039386 @default.
- W4295709249 cites W2060668971 @default.
- W4295709249 cites W2074722818 @default.
- W4295709249 cites W2088520529 @default.
- W4295709249 cites W2089783281 @default.
- W4295709249 cites W2267117247 @default.
- W4295709249 cites W2301514134 @default.
- W4295709249 cites W2518922488 @default.
- W4295709249 cites W2794216344 @default.
- W4295709249 cites W2885408409 @default.
- W4295709249 cites W2906440331 @default.
- W4295709249 cites W2913706397 @default.
- W4295709249 cites W2965233700 @default.
- W4295709249 cites W3000468040 @default.
- W4295709249 cites W3004780378 @default.
- W4295709249 cites W3094856563 @default.
- W4295709249 cites W3095016910 @default.
- W4295709249 cites W3120351685 @default.
- W4295709249 cites W3132345313 @default.
- W4295709249 cites W3157251951 @default.
- W4295709249 cites W3171740181 @default.
- W4295709249 cites W3196251683 @default.
- W4295709249 cites W3209395632 @default.
- W4295709249 cites W4206544783 @default.
- W4295709249 cites W4220985046 @default.
- W4295709249 cites W4221061800 @default.
- W4295709249 cites W4223955779 @default.
- W4295709249 cites W4225093815 @default.
- W4295709249 cites W751716341 @default.
- W4295709249 doi "https://doi.org/10.1016/j.jmrt.2022.09.036" @default.
- W4295709249 hasPublicationYear "2022" @default.
- W4295709249 type Work @default.
- W4295709249 citedByCount "2" @default.
- W4295709249 countsByYear W42957092492023 @default.
- W4295709249 crossrefType "journal-article" @default.
- W4295709249 hasAuthorship W4295709249A5000359400 @default.
- W4295709249 hasAuthorship W4295709249A5017095431 @default.
- W4295709249 hasAuthorship W4295709249A5033156275 @default.
- W4295709249 hasAuthorship W4295709249A5039765869 @default.
- W4295709249 hasAuthorship W4295709249A5048010229 @default.
- W4295709249 hasAuthorship W4295709249A5052507597 @default.
- W4295709249 hasAuthorship W4295709249A5070724508 @default.
- W4295709249 hasAuthorship W4295709249A5073216396 @default.
- W4295709249 hasBestOaLocation W42957092491 @default.
- W4295709249 hasConcept C113196181 @default.
- W4295709249 hasConcept C121332964 @default.
- W4295709249 hasConcept C127210992 @default.
- W4295709249 hasConcept C145653223 @default.
- W4295709249 hasConcept C151730666 @default.
- W4295709249 hasConcept C178790620 @default.
- W4295709249 hasConcept C185592680 @default.
- W4295709249 hasConcept C191897082 @default.
- W4295709249 hasConcept C192562407 @default.
- W4295709249 hasConcept C20556612 @default.
- W4295709249 hasConcept C2524010 @default.
- W4295709249 hasConcept C2779856285 @default.
- W4295709249 hasConcept C2780026712 @default.
- W4295709249 hasConcept C2816523 @default.
- W4295709249 hasConcept C33923547 @default.
- W4295709249 hasConcept C38349280 @default.
- W4295709249 hasConcept C43617362 @default.
- W4295709249 hasConcept C44280652 @default.
- W4295709249 hasConcept C57879066 @default.
- W4295709249 hasConcept C64297162 @default.
- W4295709249 hasConcept C84248122 @default.
- W4295709249 hasConcept C86803240 @default.
- W4295709249 hasConcept C97355855 @default.
- W4295709249 hasConceptScore W4295709249C113196181 @default.
- W4295709249 hasConceptScore W4295709249C121332964 @default.
- W4295709249 hasConceptScore W4295709249C127210992 @default.
- W4295709249 hasConceptScore W4295709249C145653223 @default.
- W4295709249 hasConceptScore W4295709249C151730666 @default.
- W4295709249 hasConceptScore W4295709249C178790620 @default.
- W4295709249 hasConceptScore W4295709249C185592680 @default.
- W4295709249 hasConceptScore W4295709249C191897082 @default.
- W4295709249 hasConceptScore W4295709249C192562407 @default.
- W4295709249 hasConceptScore W4295709249C20556612 @default.
- W4295709249 hasConceptScore W4295709249C2524010 @default.