Please use this identifier to cite or link to this item: http://nopr.niscair.res.in/handle/123456789/20961
Title: Experimental and artificial neural network study of heat formation values of drilling and boring operations on Al 7075 T6 workpiece
Authors: Ozkan, Murat Tolga
Keywords: Drilling;Boring;Heat formation;Artificial neural network;Al 7075 T6
Issue Date: Aug-2013
Publisher: NISCAIR-CSIR, India
Abstract: Drilling 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.
Page(s): 259-268
URI: http://hdl.handle.net/123456789/20961
ISSN: 0975-1017 (Online); 0971-4588 (Print)
Appears in Collections:IJEMS Vol.20(4) [August 2013]

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