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Review
- KISE Journal of Korean Institute of Surface Engineering
- Volume 36(3); 2003
- Article
Review
KISE Journal of Korean Institute of Surface Engineering 2003;36(3):284-289. Published online: Nov, 30, -0001
Prediction on the Efficiency of Coated Tool Using Taguchi Design and Neural Network
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Agency for Technology & Standards, MOCIE;KyungHee Univ. Graduate School, KyungHee Univ. Mechanical and Industrial System Engineering;KyungHee Univ. Graduate School, KyungHee Univ. Mechanical and Industrial System Engineering;KyungHee Univ. Graduate School
Abstract
In this study, the prediction on the quality of tools after coating process has been investigated. Under different coating conditions, cutting resistances have been obtained and analyzed with a tool dynamometer to provide optimized coating conditions. The
Keywords Cutting Resistance;Tool Dynamometer;Neural Network;Taguchi Method;