Neural Network Modeling Of Grinding Parameters Of Ductile Cast Iron Using Minimum Quantity Lubrication

Neural Network Modeling Of Grinding Parameters Of Ductile Cast Iron Using Minimum Quantity Lubrication

This paper presents the optimization of the grinding parameters of ductile cast iron in wet conditions and with the minimum quantity lubrication (MQL) technique. The objective of this project is to investigate the performance of ductile cast iron during the grinding process using the MQL technique...

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Bibliographic Details
Main Authors: N. S. M., Sahid, M. M., Rahman, K., Kadirgama
Format: Article
Language:English
Published: Universiti Malaysia Pahang 2015
Subjects:
TJ Mechanical engineering and machinery
Online Access:http://umpir.ump.edu.my/id/eprint/9876/
http://umpir.ump.edu.my/id/eprint/9876/1/Neural%20Network%20Modeling%20Of%20Grinding%20Parameters%20Of%20Ductile%20Cast%20Iron%20Using%20Minimum%20Quantity%20Lubrication.pdf

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