Please use this identifier to cite or link to this item: http://nopr.niscair.res.in/handle/123456789/20961
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dc.contributor.authorOzkan, Murat Tolga-
dc.date.accessioned2013-09-04T09:38:34Z-
dc.date.available2013-09-04T09:38:34Z-
dc.date.issued2013-08-
dc.identifier.issn0975-1017 (Online); 0971-4588 (Print)-
dc.identifier.urihttp://hdl.handle.net/123456789/20961-
dc.description259-268en_US
dc.description.abstractDrilling operation is one of the most important processing among the manufacturing processes. Manufacturing processes usually contain the drilling operation. Because of the importance of drilling operation, it has been accomplished drilling and boring experimental study. Al 7075 T6 workpieces has been used for this experimental study. For this material heat formation is important while the processing the material because this material changes its specification after certain temperature. Especially heat changes have been observed during the drilling and boring processes. In this study, firstly experimental setup has been accomplished then collected the heat formation data while the processing Al 7075 T6. Data have been collected from eleven different points on the workpiece. After that these data have been interpreted by statistical methods. Annova analysis has been applied to these data. However, no significant results were obtained with the Annova analysis. For this reason; data have been interpreted with artificial neural network system. Different cutting speeds and feed rates have been taken into consideration that are processing the drilling operations. The main goal is to predict the heat formation that is at any point on workpiece Al 7075 T6. So designers and manufacturers do not need do any calculation or experiment to determine the heat formation values on workpiece Al 7075 T6.en_US
dc.language.isoen_USen_US
dc.publisherNISCAIR-CSIR, Indiaen_US
dc.rights CC Attribution-Noncommercial-No Derivative Works 2.5 Indiaen_US
dc.sourceIJEMS Vol.20(4) [August 2013]en_US
dc.subjectDrillingen_US
dc.subjectBoringen_US
dc.subjectHeat formationen_US
dc.subjectArtificial neural networken_US
dc.subjectAl 7075 T6en_US
dc.titleExperimental and artificial neural network study of heat formation values of drilling and boring operations on Al 7075 T6 workpieceen_US
dc.typeArticleen_US
Appears in Collections:IJEMS Vol.20(4) [August 2013]

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