| Download | - View accepted manuscript: Modelling and on-line monitoring of machined surface in turning operations (PDF, 1003 KiB)
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| DOI | Resolve DOI: https://doi.org/10.1007/978-0-387-36594-7_52 |
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| Author | Search for: Banerjee, Avisekh; Search for: Bordatchev, Evgueni V.1; Search for: Choudhury, Sounak Kumar |
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| Affiliation | - National Research Council of Canada. NRC Industrial Materials Institute
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| Format | Text, Article |
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| Conference | 7th IFIP International Conference on Information Technology for Balanced Automation Systems in Manufacturing and Services, September 4th to 6th 2006, Niagara Falls, Ontario |
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| Subject | information systems applications |
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| Abstract | Machined surface profile and roughness are important parameters in evaluating the quality of a machining operation. They are resulted from the transformation of the complex tool-workpiece displacements involving the dynamics of the machine tool mechanical system, cutting process, and cutting motions. The focus of this study is the fundamental understanding of the surface profile formation during turning and development of regression and neural network (NN) models of surface roughness incorporating the effects of cutting parameters and tool-workpiece displacements. Also, a bifurcated opto- electrical transducer was developed for on-line monitoring of surface roughness based on the scattering of laser beams from machined surface. The feasibility of on-line monitoring was studied by comparing with actual roughness as well as the prediction results of the regression and NN models. |
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| Publication date | 2006 |
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| Language | English |
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| Peer reviewed | Yes |
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| NPARC number | 21274282 |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | 0ad042c7-6c54-4eb9-a496-6fd268b08340 |
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| Record created | 2015-03-09 |
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| Record modified | 2020-06-04 |
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