Surface Roughness Analysis in High Speed Turning of Ti-6Al-4V Using Coated Carbide Inserts: Experimental and Modeling Studies
Journal Title: Tribology in Industry - Year 2018, Vol 40, Issue 3
Abstract
Machining and achieving good surface finish in Ti-6Al-4V is a challenging task. Several factors influence surface finish of which some can be controlled and are mainly the machining parameters and some are considered uncontrolled and happens to be the output of the machining process like tool wear and cutting tool vibrations. Several researchers have made attempts to identify these parameters and study both experimentally and through modeling. This study deals with the experimental correlation between machining parameters namely cutting speed, feed rate, depth of cut and uncontrollable parameters namely tool flank wear and cutting tool vibrations on two surface roughness parameters Ra and Rt, while turning Ti-6Al-4V using coated carbide inserts. Further, in order to study the effect of individual parameters statistically on the responses, a widely used statistical technique namely Response Surface Methodology (RSM) and a new technique, Random Forest Regression (RFR) have been applied to these experimental data to model and predict the values of surface roughness parameters. Results revealed that RFR performed better than RSM. It has been found that tool wear is the most dominant parameter affecting surface roughness parameters followed by feed rate and cutting tool vibrations have a direct correlation with surface roughness parameters.
Authors and Affiliations
G. D’Mello, P. Srinivasa Pai, A. Prashanth
Keywords
Related Articles
- EP ID EP407279
- DOI 10.24874/ti.2018.40.03.12
- Views 61
- Downloads 0
Multi-Criteria Analysis of Laser Cut Surface Characteristics in CO2 Laser Cutting of Stainless Steel
In this paper an approach for multi-criteria analysis of laser cut surface characteristics using multi-criteria decision making (MCDM) approach was presented. Laser cutting experiment was conducted based on Taguchi’s L27...
Neural Network Modeling of Cutting Fluid Impact on Energy Consumption during Turning
This paper presents a part of research on power consumption differences between various cutting fluids used during turning operations. An attempt was made to study the possibility of artificial neural network to model th...
Investigation of Cavitation in a Finite Journal Bearing Considering the Journal Speed and Couple Stress Fluids Effects
A theoretical analysis of the combined effect of journal speed and couple stress fluids (CSF) on the performance characteristics of a cavitated finite journal bearing (FJB) has been presented in this paper. Depending on...
Friction and Wear in Timing Belt Drives
Timing belt tooth goes into contact with a drive pulley, stretched to the maximum, because of the previous tension. When the contact begins the peak of the belt tooth makes the contact with the outer surface of the pulle...
Modeling and Development of RMD Configuration Magnetic Bearing
The low load carrying capacity of Passive Magnetic Bearings (PMBs) has restricted their use in many industrial applications. The Rotation Magnetized Direction (RMD) configuration has emerged as a strong and viable method...