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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universiti Malaysia Pahang
2015
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/9876/ http://umpir.ump.edu.my/id/eprint/9876/ 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 |
Internet
http://umpir.ump.edu.my/id/eprint/9876/http://umpir.ump.edu.my/id/eprint/9876/
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