Prediction of Crack for Drilling Process on Alumina Using Neural Network and Taguchi Method

This study analyzes a variety of significant drilling conditions on aluminum oxide (with L18 orthogonal array) using a diamond drill. The drilling parameters evaluated are spindle speed, feed rate, depth of cut, and diamond abrasive size. An orthogonal array, signal-to-noise (S/N) ratio, and analysi...

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Bibliographic Details
Main Author: Kingsun Lee
Format: Article
Language:English
Published: Wiley 2015-01-01
Series:Advances in Materials Science and Engineering
Online Access:http://dx.doi.org/10.1155/2015/304691
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