Intelligent tool path correction for improving profile accuracy in CNC turning
DSpace at IIT Bombay
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Title |
Intelligent tool path correction for improving profile accuracy in CNC turning
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Creator |
SUNEEL, TS
PANDE, SS |
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Subject |
neural networks
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Description |
This paper presents the development of an intelligent predictive tool for improving the accuracy of parts produced on CNC turning centers. Actual dimensions and shape (form) produced on components during machining differ from the nominal dimensions commanded in the CNC program. These dimensional and form errors on parts depend on a variety of factors such as tool/work deflections, machine tool accuracy, machining conditions etc. These errors, if predicted, can be used to correct the ideal CNC code and thus improve the part accuracy in CNC machining. In the present work artificial neural networks are used to capture the complex relationship between the errors on the component and the input process conditions. Significant improvement in part accuracy has been obtained using the corrected CNC code during machining.
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Publisher |
TAYLOR & FRANCIS LTD
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Date |
2011-08-31T00:48:35Z
2011-12-26T12:59:15Z 2011-12-27T05:50:21Z 2011-08-31T00:48:35Z 2011-12-26T12:59:15Z 2011-12-27T05:50:21Z 2000 |
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Type |
Article
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Identifier |
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 38(14), 3181-3202
0020-7543 http://dx.doi.org/10.1080/002075400418216 http://dspace.library.iitb.ac.in/xmlui/handle/10054/12522 http://hdl.handle.net/10054/12522 |
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Language |
en
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