Abstract
Titanium and its alloys have been widely used in the automotive,
biomedical and aerospace industries due to their good strength-to-weight ratio and
corrosion resistance. They are considered as difficult-to-machine materials i.e.
Titanium and its alloys possess poor machinability. The experimental work reported
in the present paper attempts to enhance the machinability of Titanium Grade 2 (a
good candidate for bio-implants) under the influence of minimum quantity
lubrication at high speed conditions. In this work full factorial technique has been
adopted to design and conduct the machining experiments (27 Nos). The paper
details the experimentation, optimization, and effect of machining parameters on
surface roughness and tool wear during MQL assisted high speed machining of
Titanium Grade 2. Investigation reveals significant effect of machining parameters
under MQL environment on surface roughness and tool wear. Machining at
optimum combination of parameters resulted in precision finish with average
roughness value 0.67 μm and maximum tool flank wear value 0.210 mm. The
outcomes of this investigation identify MQL as a sustainable substitute of
conventional wet cooling for enhanced machinability of Titanium Grade 2 at high
speed conditions.