File Download
There are no files associated with this item.
Links for fulltext
(May Require Subscription)
- Publisher Website: 10.1109/VECIMS.2009.5068889
- Scopus: eid_2-s2.0-70349918651
- WOS: WOS:000270760700035
Supplementary
- Citations:
- Appears in Collections:
Conference Paper: Neural network based force modeling for haptic virtual machining simulation
Title | Neural network based force modeling for haptic virtual machining simulation |
---|---|
Authors | |
Keywords | Haptic Rendering Neural Network Virtual Machining |
Issue Date | 2009 |
Citation | 2009 Ieee International Conference On Virtual Environments, Human-Computer Interfaces, And Measurements Systems, Vecims 2009 - Proceedings, 2009, p. 179-184 How to Cite? |
Abstract | In 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 Identifier | http://hdl.handle.net/10722/159001 |
ISI Accession Number ID | |
References |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | He, X | en_US |
dc.contributor.author | Chen, Y | en_US |
dc.contributor.author | Ye, R | en_US |
dc.date.accessioned | 2012-08-08T09:05:03Z | - |
dc.date.available | 2012-08-08T09:05:03Z | - |
dc.date.issued | 2009 | en_US |
dc.identifier.citation | 2009 Ieee International Conference On Virtual Environments, Human-Computer Interfaces, And Measurements Systems, Vecims 2009 - Proceedings, 2009, p. 179-184 | en_US |
dc.identifier.uri | http://hdl.handle.net/10722/159001 | - |
dc.description.abstract | In 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.language | eng | en_US |
dc.relation.ispartof | 2009 IEEE International Conference on Virtual Environments, Human-Computer Interfaces, and Measurements Systems, VECIMS 2009 - Proceedings | en_US |
dc.subject | Haptic Rendering | en_US |
dc.subject | Neural Network | en_US |
dc.subject | Virtual Machining | en_US |
dc.title | Neural network based force modeling for haptic virtual machining simulation | en_US |
dc.type | Conference_Paper | en_US |
dc.identifier.email | Chen, Y:yhchen@hkucc.hku.hk | en_US |
dc.identifier.authority | Chen, Y=rp00099 | en_US |
dc.description.nature | link_to_subscribed_fulltext | en_US |
dc.identifier.doi | 10.1109/VECIMS.2009.5068889 | en_US |
dc.identifier.scopus | eid_2-s2.0-70349918651 | en_US |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-70349918651&selection=ref&src=s&origin=recordpage | en_US |
dc.identifier.spage | 179 | en_US |
dc.identifier.epage | 184 | en_US |
dc.identifier.isi | WOS:000270760700035 | - |
dc.identifier.scopusauthorid | He, X=24536700300 | en_US |
dc.identifier.scopusauthorid | Chen, Y=7601430448 | en_US |
dc.identifier.scopusauthorid | Ye, R=34882442200 | en_US |