Matches in SemOpenAlex for { <https://semopenalex.org/work/W4200447872> ?p ?o ?g. }
Showing items 1 to 85 of
85
with 100 items per page.
- W4200447872 abstract "Abstract The monitoring of surface quality in machining is of great practical significance for the reliability and life of high-value products such as rocket, spacecraft and aircraft, particularly for their assembly interfaces of these products. Surface roughness is an important metric to evaluate the surface quality. The current research of online surface roughness prediction has the following limitations. The effect of the varying tool wear on the surface roughness is rarely considered in machining. In addition, the deteriorating trend of surface roughness and tool wear is different under variable cutting parameters. Prediction models trained under one set of cutting parameters fail when cutting parameters change. This paper proposes a surface roughness prediction method considering the varying tool wear under variable cutting parameters. A stacked autoencoder and long short-term memory network (SAE-LSTM) is designed as the basic surface roughness prediction model that uses tool wear conditions and sensor signals as the input. The transfer learning strategy is applied on SAE-LSTM such that the surface roughness online prediction under variable cutting parameters can be realized. Machining experiments for the assembly interface (Ti6Al4V material) of the aircraft’s vertical tail are conducted and the monitoring data are used to validate the proposed method. Ablations studies are carried out to evaluate the key modules of the proposed model. The experimental results show that the proposed method outperforms other models and well track the true surface roughness over time." @default.
- W4200447872 created "2021-12-31" @default.
- W4200447872 creator A5003043391 @default.
- W4200447872 creator A5008085254 @default.
- W4200447872 creator A5049226851 @default.
- W4200447872 creator A5049486408 @default.
- W4200447872 creator A5087320814 @default.
- W4200447872 date "2021-12-14" @default.
- W4200447872 modified "2023-10-16" @default.
- W4200447872 title "Transfer Learning Based Surface Roughness Prediction Integrating Tool Wear Under Variable Cutting Parameters" @default.
- W4200447872 doi "https://doi.org/10.21203/rs.3.rs-955412/v1" @default.
- W4200447872 hasPublicationYear "2021" @default.
- W4200447872 type Work @default.
- W4200447872 citedByCount "0" @default.
- W4200447872 crossrefType "posted-content" @default.
- W4200447872 hasAuthorship W4200447872A5003043391 @default.
- W4200447872 hasAuthorship W4200447872A5008085254 @default.
- W4200447872 hasAuthorship W4200447872A5049226851 @default.
- W4200447872 hasAuthorship W4200447872A5049486408 @default.
- W4200447872 hasAuthorship W4200447872A5087320814 @default.
- W4200447872 hasBestOaLocation W42004478721 @default.
- W4200447872 hasConcept C101738243 @default.
- W4200447872 hasConcept C107365816 @default.
- W4200447872 hasConcept C119857082 @default.
- W4200447872 hasConcept C121332964 @default.
- W4200447872 hasConcept C127413603 @default.
- W4200447872 hasConcept C134306372 @default.
- W4200447872 hasConcept C159985019 @default.
- W4200447872 hasConcept C163258240 @default.
- W4200447872 hasConcept C176217482 @default.
- W4200447872 hasConcept C182365436 @default.
- W4200447872 hasConcept C192562407 @default.
- W4200447872 hasConcept C21547014 @default.
- W4200447872 hasConcept C2524010 @default.
- W4200447872 hasConcept C2776450708 @default.
- W4200447872 hasConcept C2776799497 @default.
- W4200447872 hasConcept C2780383046 @default.
- W4200447872 hasConcept C33923547 @default.
- W4200447872 hasConcept C41008148 @default.
- W4200447872 hasConcept C43214815 @default.
- W4200447872 hasConcept C50644808 @default.
- W4200447872 hasConcept C523214423 @default.
- W4200447872 hasConcept C62520636 @default.
- W4200447872 hasConcept C71039073 @default.
- W4200447872 hasConcept C78519656 @default.
- W4200447872 hasConceptScore W4200447872C101738243 @default.
- W4200447872 hasConceptScore W4200447872C107365816 @default.
- W4200447872 hasConceptScore W4200447872C119857082 @default.
- W4200447872 hasConceptScore W4200447872C121332964 @default.
- W4200447872 hasConceptScore W4200447872C127413603 @default.
- W4200447872 hasConceptScore W4200447872C134306372 @default.
- W4200447872 hasConceptScore W4200447872C159985019 @default.
- W4200447872 hasConceptScore W4200447872C163258240 @default.
- W4200447872 hasConceptScore W4200447872C176217482 @default.
- W4200447872 hasConceptScore W4200447872C182365436 @default.
- W4200447872 hasConceptScore W4200447872C192562407 @default.
- W4200447872 hasConceptScore W4200447872C21547014 @default.
- W4200447872 hasConceptScore W4200447872C2524010 @default.
- W4200447872 hasConceptScore W4200447872C2776450708 @default.
- W4200447872 hasConceptScore W4200447872C2776799497 @default.
- W4200447872 hasConceptScore W4200447872C2780383046 @default.
- W4200447872 hasConceptScore W4200447872C33923547 @default.
- W4200447872 hasConceptScore W4200447872C41008148 @default.
- W4200447872 hasConceptScore W4200447872C43214815 @default.
- W4200447872 hasConceptScore W4200447872C50644808 @default.
- W4200447872 hasConceptScore W4200447872C523214423 @default.
- W4200447872 hasConceptScore W4200447872C62520636 @default.
- W4200447872 hasConceptScore W4200447872C71039073 @default.
- W4200447872 hasConceptScore W4200447872C78519656 @default.
- W4200447872 hasLocation W42004478721 @default.
- W4200447872 hasOpenAccess W4200447872 @default.
- W4200447872 hasPrimaryLocation W42004478721 @default.
- W4200447872 hasRelatedWork W1761043732 @default.
- W4200447872 hasRelatedWork W2020116985 @default.
- W4200447872 hasRelatedWork W2159079249 @default.
- W4200447872 hasRelatedWork W2346470663 @default.
- W4200447872 hasRelatedWork W2414610444 @default.
- W4200447872 hasRelatedWork W2994238937 @default.
- W4200447872 hasRelatedWork W3013882868 @default.
- W4200447872 hasRelatedWork W3033232024 @default.
- W4200447872 hasRelatedWork W3191625532 @default.
- W4200447872 hasRelatedWork W2346906994 @default.
- W4200447872 isParatext "false" @default.
- W4200447872 isRetracted "false" @default.
- W4200447872 workType "article" @default.