Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/44890
DC FieldValueLanguage
dc.contributor.authorTseng, P.C.en_US
dc.contributor.author曾柏昌zh_TW
dc.contributor.authorChen, S.L.en_US
dc.date2002zh_TW
dc.date.accessioned2014-06-06T08:14:03Z-
dc.date.available2014-06-06T08:14:03Z-
dc.identifier.issn1344-7653zh_TW
dc.identifier.urihttp://hdl.handle.net/11455/44890-
dc.description.abstractThe geometric errors and structural thermal deformation are factors that influence the machining accuracy of Computer Numerical Control (CNC) machining center. Therefore, researchers pay attention to thermal error compensation technologies on CNC machine tools. Some real-time error compensation techniques have been successfully demonstrated in both laboratories and industrial sites. The compensation results still need to be enhanced. In this research, the neural-fuzzy theory has been conducted to derive a thermal prediction model. An IC-type thermometer has been used to detect the heat sources temperature variation. The thermal drifts are online measured by a touch-triggered probe with a standard bar. A thermal prediction model is then derived by neural-fuzzy theory based on the temperature variation and the thermal drifts. A Graphic User Interface (GUI) system is also built to conduct the user friendly operation interface with Insprise C++ Builder. The experimental results show that the thermal prediction model developed by neural-fuzzy theory methodology can improve machining accuracy from 80 mum to 3 mum. Comparison with the multi-variable linear regression analysis the compensation accuracy is increased from +/-10 mum to +/-3 mum.en_US
dc.language.isoen_USzh_TW
dc.relationJsme International Journal Series C-Mechanical Systems Machine Elements and Manufacturingen_US
dc.relation.ispartofseriesJsme International Journal Series C-Mechanical Systems Machine Elements and Manufacturing, Volume 45, Issue 2, Page(s) 470-478.en_US
dc.relation.urihttp://dx.doi.org/10.1299/jsmec.45.470en_US
dc.subjectthermal driften_US
dc.subjectcompensation technologyen_US
dc.subjectneural-fuzzy controlleren_US
dc.subjectpredictionen_US
dc.subjectrealen_US
dc.titleThe neural-fuzzy thermal error compensation controller on CNC machining centeren_US
dc.typeJournal Articlezh_TW
dc.identifier.doi10.1299/jsmec.45.470zh_TW
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