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Conference Paper: Neural network based force modeling for haptic virtual machining simulation

TitleNeural network based force modeling for haptic virtual machining simulation
Authors
He, XChen, YYe, R
KeywordsHaptic Rendering
Neural Network
Virtual Machining
Issue Date2009
Citation
2009 Ieee International Conference On Virtual Environments, Human-Computer Interfaces, And Measurements Systems, Vecims 2009 - Proceedings, 2009, p. 179-184 How to Cite?
DOI: http://dx.doi.org/10.1109/VECIMS.2009.5068889
AbstractIn this paper, a novel haptic rendering method based on artificial neural network is proposed for turning simulation. In the proposed method, a two-layer neural network structure with three inputs and one output is used to model the cutting force. Levenberg-Marquardt algorithm is exploited as a learning strategy for training the neural network based on experimental machining data. Using the trained neural network, the relationship between simulated cutting force and cutting conditions can be obtained. Based on this method, a haptic virtual machining operation system is implemented and presented in this paper. ©2009 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/159001
ISI Accession Number ID
WOS:000270760700035
References
References in Scopus

 

DC FieldValueLanguage
dc.contributor.authorHe, Xen_US
dc.contributor.authorChen, Yen_US
dc.contributor.authorYe, Ren_US
dc.date.accessioned2012-08-08T09:05:03Z-
dc.date.available2012-08-08T09:05:03Z-
dc.date.issued2009en_US
dc.identifier.citation2009 Ieee International Conference On Virtual Environments, Human-Computer Interfaces, And Measurements Systems, Vecims 2009 - Proceedings, 2009, p. 179-184en_US
dc.identifier.urihttp://hdl.handle.net/10722/159001-
dc.description.abstractIn this paper, a novel haptic rendering method based on artificial neural network is proposed for turning simulation. In the proposed method, a two-layer neural network structure with three inputs and one output is used to model the cutting force. Levenberg-Marquardt algorithm is exploited as a learning strategy for training the neural network based on experimental machining data. Using the trained neural network, the relationship between simulated cutting force and cutting conditions can be obtained. Based on this method, a haptic virtual machining operation system is implemented and presented in this paper. ©2009 IEEE.en_US
dc.languageengen_US
dc.relation.ispartof2009 IEEE International Conference on Virtual Environments, Human-Computer Interfaces, and Measurements Systems, VECIMS 2009 - Proceedingsen_US
dc.subjectHaptic Renderingen_US
dc.subjectNeural Networken_US
dc.subjectVirtual Machiningen_US
dc.titleNeural network based force modeling for haptic virtual machining simulationen_US
dc.typeConference_Paperen_US
dc.identifier.emailChen, Y:yhchen@hkucc.hku.hken_US
dc.identifier.authorityChen, Y=rp00099en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1109/VECIMS.2009.5068889en_US
dc.identifier.scopuseid_2-s2.0-70349918651en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-70349918651&selection=ref&src=s&origin=recordpageen_US
dc.identifier.spage179en_US
dc.identifier.epage184en_US
dc.identifier.isiWOS:000270760700035-
dc.identifier.scopusauthoridHe, X=24536700300en_US
dc.identifier.scopusauthoridChen, Y=7601430448en_US
dc.identifier.scopusauthoridYe, R=34882442200en_US

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