Abstract
The Minimum Quantity of Lubrication (MQL) in machining is an alternative to dry or flood lubricating system. In the current study, an Artificial Neural Network (ANN) has been employed to analyse the effects of cutting speed, feed rate and MQL on specific cutting force and surface roughness in turning of brass. The research suggests a combination of MQL in medium to high range, higher feed rate with cutting speed in medium range is necessary to minimise specific cutting force. On the other hand, lower values of feed rate and cutting speed with high MQL is essential for minimising surface roughness.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Materials and Product Technology
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
