FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4386435075> ?p ?o ?g. }

• W4386435075 endingPage "102152" @default.
• W4386435075 startingPage "102152" @default.
• W4386435075 abstract "Predicting the cross-sectional profile of the whole bending segment for metal tube bending is essential to achieve high-precision bending, yet still remains challenging. The existing prediction methods mainly base on theoretical derivation under certain assumptions and approximations, which do not fully characterize the whole bending segment profile neither do they fully utilize the information in the bending process. In this study, a Bo-LSTM-based progressive prediction method for the cross-sectional profile sequence is proposed, which comprehensively utilizes the profile information during the bending process and achieves an accurate prediction of the cross-sectional profile of the whole bending segment in the subsequent bending process. Firstly, the method of describing the cross-sectional profile in polar radial vector and the cross-sections of the bending segment in discrete sequences are proposed, which cover the information of cross-sectional distortion and wall thickness variation (viz. cross-sectional defects) for the whole bending segment. Secondly, an LSTM network is constructed integrating Bayesian-optimization-based hyper-parameters selection approach to progressively predict the tube cross-sectional profile sequence. Finally, the proposed methods are verified on simulated datasets as well as experimental data, and the accuracy is compared with networks of different structures. The results show that Bo-LSTM has better prediction accuracy. Meanwhile, the progressive prediction pattern has better robustness compared to chain prediction pattern." @default.
• W4386435075 created "2023-09-05" @default.
• W4386435075 creator A5002419717 @default.
• W4386435075 creator A5005530808 @default.
• W4386435075 creator A5039962474 @default.
• W4386435075 creator A5041037485 @default.
• W4386435075 creator A5045957567 @default.
• W4386435075 creator A5068252474 @default.
• W4386435075 date "2023-10-01" @default.
• W4386435075 modified "2023-10-12" @default.
• W4386435075 title "Bo-LSTM based cross-sectional profile sequence progressive prediction method for metal tube rotate draw bending" @default.
• W4386435075 cites W1964054979 @default.
• W4386435075 cites W1974521717 @default.
• W4386435075 cites W1996153158 @default.
• W4386435075 cites W1997512560 @default.
• W4386435075 cites W2018228938 @default.
• W4386435075 cites W2021107098 @default.
• W4386435075 cites W2029897006 @default.
• W4386435075 cites W2030889603 @default.
• W4386435075 cites W2042122800 @default.
• W4386435075 cites W2064675550 @default.
• W4386435075 cites W2066151674 @default.
• W4386435075 cites W2066165242 @default.
• W4386435075 cites W2069143585 @default.
• W4386435075 cites W2076543185 @default.
• W4386435075 cites W2100554250 @default.
• W4386435075 cites W2151907506 @default.
• W4386435075 cites W2158663270 @default.
• W4386435075 cites W2280154071 @default.
• W4386435075 cites W2346549366 @default.
• W4386435075 cites W2431418476 @default.
• W4386435075 cites W2560238546 @default.
• W4386435075 cites W2605428484 @default.
• W4386435075 cites W2617137613 @default.
• W4386435075 cites W2744067593 @default.
• W4386435075 cites W2765731346 @default.
• W4386435075 cites W2790062112 @default.
• W4386435075 cites W2883867434 @default.
• W4386435075 cites W2989784702 @default.
• W4386435075 cites W2997327172 @default.
• W4386435075 cites W3007676167 @default.
• W4386435075 cites W3008235510 @default.
• W4386435075 cites W3035214572 @default.
• W4386435075 cites W3044111557 @default.
• W4386435075 cites W3086548188 @default.
• W4386435075 cites W3097484052 @default.
• W4386435075 cites W3119261812 @default.
• W4386435075 cites W3119764715 @default.
• W4386435075 cites W3129432703 @default.
• W4386435075 cites W3146722705 @default.
• W4386435075 cites W3155743493 @default.
• W4386435075 cites W4205675329 @default.
• W4386435075 cites W4225434091 @default.
• W4386435075 cites W4285491467 @default.
• W4386435075 doi "https://doi.org/10.1016/j.aei.2023.102152" @default.
• W4386435075 hasPublicationYear "2023" @default.
• W4386435075 type Work @default.
• W4386435075 citedByCount "0" @default.
• W4386435075 crossrefType "journal-article" @default.
• W4386435075 hasAuthorship W4386435075A5002419717 @default.
• W4386435075 hasAuthorship W4386435075A5005530808 @default.
• W4386435075 hasAuthorship W4386435075A5039962474 @default.
• W4386435075 hasAuthorship W4386435075A5041037485 @default.
• W4386435075 hasAuthorship W4386435075A5045957567 @default.
• W4386435075 hasAuthorship W4386435075A5068252474 @default.
• W4386435075 hasBestOaLocation W43864350751 @default.
• W4386435075 hasConcept C104317684 @default.
• W4386435075 hasConcept C11413529 @default.
• W4386435075 hasConcept C126780896 @default.
• W4386435075 hasConcept C127413603 @default.
• W4386435075 hasConcept C154945302 @default.
• W4386435075 hasConcept C185592680 @default.
• W4386435075 hasConcept C194257627 @default.
• W4386435075 hasConcept C2776257435 @default.
• W4386435075 hasConcept C31258907 @default.
• W4386435075 hasConcept C41008148 @default.
• W4386435075 hasConcept C55493867 @default.
• W4386435075 hasConcept C63479239 @default.
• W4386435075 hasConcept C66938386 @default.
• W4386435075 hasConcept C87210426 @default.
• W4386435075 hasConceptScore W4386435075C104317684 @default.
• W4386435075 hasConceptScore W4386435075C11413529 @default.
• W4386435075 hasConceptScore W4386435075C126780896 @default.
• W4386435075 hasConceptScore W4386435075C127413603 @default.
• W4386435075 hasConceptScore W4386435075C154945302 @default.
• W4386435075 hasConceptScore W4386435075C185592680 @default.
• W4386435075 hasConceptScore W4386435075C194257627 @default.
• W4386435075 hasConceptScore W4386435075C2776257435 @default.
• W4386435075 hasConceptScore W4386435075C31258907 @default.
• W4386435075 hasConceptScore W4386435075C41008148 @default.
• W4386435075 hasConceptScore W4386435075C55493867 @default.
• W4386435075 hasConceptScore W4386435075C63479239 @default.
• W4386435075 hasConceptScore W4386435075C66938386 @default.
• W4386435075 hasConceptScore W4386435075C87210426 @default.
• W4386435075 hasFunder F4320321001 @default.
• W4386435075 hasFunder F4320338465 @default.
• W4386435075 hasLocation W43864350751 @default.
• W4386435075 hasOpenAccess W4386435075 @default.

• next