The fundamental machining techniques were established long back. However, machining operations consume a large amount of money annually worldwide. Advanced engineering materials, such as ceramics, MMC, Titanium (Ti), Inconel and its alloys offer properties like high strength at elevated temperature, chemical and wear resistance. Therefore, these materials are being used in making components for aerospace, defence, nuclear, orthopaedic, and marine applications. However, these alloys are classified as a ‘difficult-to-cut’ due to their poor thermal conductivity, reactivity with tool material, high strength and low modulus of elasticity. Besides various measures to improve machinability of these alloys, the key areas of research focuses on selection of cutting tool material and its geometry, use of various machining environments and selection optimum processing conditions to improve tool life, metal removal rate and decrease cutting forces and surface roughness of the machined component. This paper focuses on machinability of titanium alloys under various machining environments such as – dry, flooded and mist jet cooling. The main objective of the paper is to understand the effect of change in machining environment on various aspects of machining of titanium alloys viz. tool wear, cutting forces, surface roughness and chip morphology. It is evident that the flooded and mist jet environments effectively cool the cutting zone and reduce the cutting forces and tool wear 30 and 40% respectively. On the other hand, flooded lubrication and mist jet cooling improves surface quality 20-30% as compared to dry condition machining. Based on this study, optimum conditions to improve machinability of Ti6Al4V alloys are presented.
[1]
Jianfeng Ma,et al.
Assessment of Microgrooved Cutting Tool in Dry Machining of AISI 1045 Steel
,
2015
.
[2]
RaoBendadi Hanumantha,et al.
Optimization and Effect of Process Parameters on Tool Wear in Turning of Titanium Alloy under Different Machining Conditions
,
2014
.
[3]
Paul Mativenga,et al.
Assessment of the machinability of Ti-6Al-4V alloy using the wear map approach
,
2009
.
[4]
Kai Cheng,et al.
Modeling flank wear of carbide tool insert in metal cutting
,
2005
.
[5]
Tuğrul Özel,et al.
Modeling of hard part machining: effect of insert edge preparation in CBN cutting tools
,
2003
.
[6]
Colin Bradley,et al.
A machine vision system for tool wear assessment
,
1997
.
[7]
Raviraj Shetty,et al.
Analysis of surface roughness and hardness in titanium alloy machining with polycrystalline diamond tool under different lubricating modes
,
2014
.
[8]
S. Hasan,et al.
Machinability of Hard Martensitic Stainless Steel and Hard Alloy Steel by CBN and PCBN Tools by Turning Process
,
2011
.
[9]
K. Srinivasulu,et al.
Performance Evaluation and Selection of Optimal Parameters in Turning of Ti-6 Al-4 V Alloy Under Different Cooling Conditions
,
2011
.
[10]
D. Bhat,et al.
Mechanical and Thermal Behavior for Machining Ti-6Al-4V With AlMgB14 and WC-Co Tools
,
2005
.