Matches in SemOpenAlex for { <https://semopenalex.org/work/W4378905903> ?p ?o ?g. }
Showing items 1 to 99 of
99
with 100 items per page.
- W4378905903 endingPage "6675" @default.
- W4378905903 startingPage "6675" @default.
- W4378905903 abstract "Diamond cutting-tool wear has a direct impact on the processing accuracy of the machined surface in ultra-precision diamond cutting. It is difficult to monitor the tool’s condition because of the slight wear amount. This paper proposed a hybrid deep learning model for tool wear state prediction in ultra-precision diamond cutting. The cutting force was accurately estimated and the wear state of the diamond tool was predicted by using the hybrid deep learning model with the motion displacement, velocity, and other signals in the machining process. By carrying out machining experiments, this method can classify diamond-tool wear condition with an accuracy of more than 85%. Meanwhile, the effectiveness of the proposed method was verified by comparing it with a variety of machine learning models." @default.
- W4378905903 created "2023-06-01" @default.
- W4378905903 creator A5038519542 @default.
- W4378905903 creator A5041740850 @default.
- W4378905903 creator A5061646634 @default.
- W4378905903 creator A5081536032 @default.
- W4378905903 creator A5092060217 @default.
- W4378905903 date "2023-05-30" @default.
- W4378905903 modified "2023-09-30" @default.
- W4378905903 title "A Hybrid Deep Learning Model as the Digital Twin of Ultra-Precision Diamond Cutting for In-Process Prediction of Cutting-Tool Wear" @default.
- W4378905903 cites W1963607360 @default.
- W4378905903 cites W1967860137 @default.
- W4378905903 cites W1978383802 @default.
- W4378905903 cites W1991139969 @default.
- W4378905903 cites W1992576845 @default.
- W4378905903 cites W1999314995 @default.
- W4378905903 cites W2018698334 @default.
- W4378905903 cites W2027486264 @default.
- W4378905903 cites W2057299082 @default.
- W4378905903 cites W2061648020 @default.
- W4378905903 cites W2094274266 @default.
- W4378905903 cites W2094567772 @default.
- W4378905903 cites W2342538675 @default.
- W4378905903 cites W2577506014 @default.
- W4378905903 cites W2585345106 @default.
- W4378905903 cites W2962414238 @default.
- W4378905903 cites W3034504400 @default.
- W4378905903 cites W3089619751 @default.
- W4378905903 cites W3140054264 @default.
- W4378905903 cites W3158797746 @default.
- W4378905903 cites W3170637310 @default.
- W4378905903 cites W3199437441 @default.
- W4378905903 cites W4220749872 @default.
- W4378905903 cites W4293145999 @default.
- W4378905903 doi "https://doi.org/10.3390/app13116675" @default.
- W4378905903 hasPublicationYear "2023" @default.
- W4378905903 type Work @default.
- W4378905903 citedByCount "0" @default.
- W4378905903 crossrefType "journal-article" @default.
- W4378905903 hasAuthorship W4378905903A5038519542 @default.
- W4378905903 hasAuthorship W4378905903A5041740850 @default.
- W4378905903 hasAuthorship W4378905903A5061646634 @default.
- W4378905903 hasAuthorship W4378905903A5081536032 @default.
- W4378905903 hasAuthorship W4378905903A5092060217 @default.
- W4378905903 hasBestOaLocation W43789059031 @default.
- W4378905903 hasConcept C107551265 @default.
- W4378905903 hasConcept C111919701 @default.
- W4378905903 hasConcept C127413603 @default.
- W4378905903 hasConcept C154945302 @default.
- W4378905903 hasConcept C15744967 @default.
- W4378905903 hasConcept C191897082 @default.
- W4378905903 hasConcept C192562407 @default.
- W4378905903 hasConcept C2776074547 @default.
- W4378905903 hasConcept C2776450708 @default.
- W4378905903 hasConcept C2776921476 @default.
- W4378905903 hasConcept C2778827957 @default.
- W4378905903 hasConcept C2780383046 @default.
- W4378905903 hasConcept C41008148 @default.
- W4378905903 hasConcept C523214423 @default.
- W4378905903 hasConcept C542102704 @default.
- W4378905903 hasConcept C78519656 @default.
- W4378905903 hasConcept C98045186 @default.
- W4378905903 hasConceptScore W4378905903C107551265 @default.
- W4378905903 hasConceptScore W4378905903C111919701 @default.
- W4378905903 hasConceptScore W4378905903C127413603 @default.
- W4378905903 hasConceptScore W4378905903C154945302 @default.
- W4378905903 hasConceptScore W4378905903C15744967 @default.
- W4378905903 hasConceptScore W4378905903C191897082 @default.
- W4378905903 hasConceptScore W4378905903C192562407 @default.
- W4378905903 hasConceptScore W4378905903C2776074547 @default.
- W4378905903 hasConceptScore W4378905903C2776450708 @default.
- W4378905903 hasConceptScore W4378905903C2776921476 @default.
- W4378905903 hasConceptScore W4378905903C2778827957 @default.
- W4378905903 hasConceptScore W4378905903C2780383046 @default.
- W4378905903 hasConceptScore W4378905903C41008148 @default.
- W4378905903 hasConceptScore W4378905903C523214423 @default.
- W4378905903 hasConceptScore W4378905903C542102704 @default.
- W4378905903 hasConceptScore W4378905903C78519656 @default.
- W4378905903 hasConceptScore W4378905903C98045186 @default.
- W4378905903 hasIssue "11" @default.
- W4378905903 hasLocation W43789059031 @default.
- W4378905903 hasOpenAccess W4378905903 @default.
- W4378905903 hasPrimaryLocation W43789059031 @default.
- W4378905903 hasRelatedWork W112614562 @default.
- W4378905903 hasRelatedWork W158316794 @default.
- W4378905903 hasRelatedWork W1981211727 @default.
- W4378905903 hasRelatedWork W2024471393 @default.
- W4378905903 hasRelatedWork W2037169475 @default.
- W4378905903 hasRelatedWork W2061535229 @default.
- W4378905903 hasRelatedWork W2076830604 @default.
- W4378905903 hasRelatedWork W2079601049 @default.
- W4378905903 hasRelatedWork W2465683191 @default.
- W4378905903 hasRelatedWork W2997068752 @default.
- W4378905903 hasVolume "13" @default.
- W4378905903 isParatext "false" @default.
- W4378905903 isRetracted "false" @default.
- W4378905903 workType "article" @default.