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

• 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/9876/1/Neural%20Network%20Modeling%20Of%20Grinding%20Parameters%20Of%20Ductile%20Cast%20Iron%20Using%20Minimum%20Quantity%20Lubrication.pdf; http://umpir.ump.edu.my/id/eprint/9876/; http://dx.doi.org/10.15282/ijame.11.2015.39.0220
• Institution: Universiti Malaysia Pahang

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...