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