Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313367985> ?p ?o ?g. }
Showing items 1 to 76 of
76
with 100 items per page.
- W4313367985 endingPage "133672" @default.
- W4313367985 startingPage "133672" @default.
- W4313367985 abstract "Chromium carbide overlays with MC-type primary carbides show a significantly lower cracking susceptibility during welding. However, optimizing the composition and improving the wear-resistant properties is difficult by traditional one-variable-at-a-time methods. Here we propose a method using design of experiments and machine learning to accelerate this process. A closed-loop design process was developed by using existing data to predict future experiments and suggest new ones. The influence of Nb, V, and Ti on the overlay hardness was established in an active database. XRD analysis shows that Nb would promote the formation of austenite in the matrix while Ti would foster the formation of martensite. The efficacy of this method is demonstrated by predicting the simultaneous effects of the carbide formers on overlay hardness, which highlights the possibilities of using machine learning in the alloy design of chromium carbide overlays." @default.
- W4313367985 created "2023-01-06" @default.
- W4313367985 creator A5012677271 @default.
- W4313367985 creator A5029091738 @default.
- W4313367985 creator A5049483871 @default.
- W4313367985 creator A5074590865 @default.
- W4313367985 date "2023-02-01" @default.
- W4313367985 modified "2023-10-16" @default.
- W4313367985 title "Accelerated design of chromium carbide overlays via design of experiment and machine learning" @default.
- W4313367985 cites W1605835737 @default.
- W4313367985 cites W1967747709 @default.
- W4313367985 cites W2006689435 @default.
- W4313367985 cites W2033015379 @default.
- W4313367985 cites W2037613723 @default.
- W4313367985 cites W2056498467 @default.
- W4313367985 cites W2069205430 @default.
- W4313367985 cites W2884258597 @default.
- W4313367985 cites W2892466028 @default.
- W4313367985 cites W2908654281 @default.
- W4313367985 cites W2920040218 @default.
- W4313367985 cites W2921963218 @default.
- W4313367985 cites W3036942734 @default.
- W4313367985 cites W3092460542 @default.
- W4313367985 doi "https://doi.org/10.1016/j.matlet.2022.133672" @default.
- W4313367985 hasPublicationYear "2023" @default.
- W4313367985 type Work @default.
- W4313367985 citedByCount "1" @default.
- W4313367985 countsByYear W43133679852023 @default.
- W4313367985 crossrefType "journal-article" @default.
- W4313367985 hasAuthorship W4313367985A5012677271 @default.
- W4313367985 hasAuthorship W4313367985A5029091738 @default.
- W4313367985 hasAuthorship W4313367985A5049483871 @default.
- W4313367985 hasAuthorship W4313367985A5074590865 @default.
- W4313367985 hasConcept C136085584 @default.
- W4313367985 hasConcept C18747287 @default.
- W4313367985 hasConcept C191897082 @default.
- W4313367985 hasConcept C192562407 @default.
- W4313367985 hasConcept C199360897 @default.
- W4313367985 hasConcept C2776776789 @default.
- W4313367985 hasConcept C2780026712 @default.
- W4313367985 hasConcept C41008148 @default.
- W4313367985 hasConcept C511782168 @default.
- W4313367985 hasConcept C5335593 @default.
- W4313367985 hasConcept C87976508 @default.
- W4313367985 hasConcept C96288455 @default.
- W4313367985 hasConceptScore W4313367985C136085584 @default.
- W4313367985 hasConceptScore W4313367985C18747287 @default.
- W4313367985 hasConceptScore W4313367985C191897082 @default.
- W4313367985 hasConceptScore W4313367985C192562407 @default.
- W4313367985 hasConceptScore W4313367985C199360897 @default.
- W4313367985 hasConceptScore W4313367985C2776776789 @default.
- W4313367985 hasConceptScore W4313367985C2780026712 @default.
- W4313367985 hasConceptScore W4313367985C41008148 @default.
- W4313367985 hasConceptScore W4313367985C511782168 @default.
- W4313367985 hasConceptScore W4313367985C5335593 @default.
- W4313367985 hasConceptScore W4313367985C87976508 @default.
- W4313367985 hasConceptScore W4313367985C96288455 @default.
- W4313367985 hasLocation W43133679851 @default.
- W4313367985 hasOpenAccess W4313367985 @default.
- W4313367985 hasPrimaryLocation W43133679851 @default.
- W4313367985 hasRelatedWork W2022474233 @default.
- W4313367985 hasRelatedWork W2087197919 @default.
- W4313367985 hasRelatedWork W2352436229 @default.
- W4313367985 hasRelatedWork W2370706111 @default.
- W4313367985 hasRelatedWork W2394195155 @default.
- W4313367985 hasRelatedWork W3107442106 @default.
- W4313367985 hasRelatedWork W3128705447 @default.
- W4313367985 hasRelatedWork W3134293577 @default.
- W4313367985 hasRelatedWork W940874471 @default.
- W4313367985 hasRelatedWork W2498858064 @default.
- W4313367985 hasVolume "333" @default.
- W4313367985 isParatext "false" @default.
- W4313367985 isRetracted "false" @default.
- W4313367985 workType "article" @default.