Development of Hybrid Intelligent Models for Prediction Machining Performance Measure in End Milling of Ti6Al4V Alloy with PVD Coated Tool under Dry Cutting Conditions

Development of Hybrid Intelligent Models for Prediction Machining Performance Measure in End Milling of Ti6Al4V Alloy with PVD Coated Tool under Dry Cutting Conditions

Ti6Al4V alloy is widely used in aerospace and medical applications. It is classified as a difficult to machine material due to its low thermal conductivity and high chemical reactivity. In this study, hybrid intelligent models have been developed to predict surface roughness when end milling Ti6Al4V...

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Bibliographic Details
Main Authors: Salah Al-Zubaidi, Jaharah A.Ghani, Che Hassan Che Haron, M. N. Mohammed, Adnan Naji Jameel Al-Tamimi, Samaher M.Sarhan, Mohd Shukor Salleh, M. Abdulrazaq, Oday I. Abdullah
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Lubricants
Subjects:
optimization
Ti6Al4V alloy
gravitational search algorithm
surface roughness
Online Access:https://www.mdpi.com/2075-4442/10/10/236

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