Computational analysis for the prediction chip serration frequency in end milling of steel AISI1020

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Computational analysis for the prediction chip serration frequency in end milling of steel AISI1020

The output parameter of the model was surface roughness. For this interpretation, advantages of statistical experimental design technique, experimental measurements, artificial neural network were exploited in an integrated manner. Cutting experiments are designed based on statistical three-level fu...

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Bibliographic Details
Main Authors:	Patwari, Muhammed Anayet Ullah, Amin, A. K. M. Nurul, Faris, Waleed Fekry, Alam, S.
Format:	Proceeding Paper
Language:	English
Published:	2008
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://irep.iium.edu.my/16526/ http://irep.iium.edu.my/16526/1/OS04MMC.pdf

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