Akademik Veri Yönetim Sistemi
UMTİK 2004, International Conference on Machine Design and Production, Antalya, Türkiye, 13 - 15 Ekim 2004, ss.1-10
The surface roughness model is developed in terms of main cutting parameters such as cutting speed, feed rate, depth of cut and tool nose radius, using a full-factorial design approach. Machining tests were carried out in turning AISI 4140 steels with CVD-coated carbide cutting tools under different conditions. Moreover, analysis of variance is used to examine the impact of machining parameters on surface roughness. It is shown that the feed rate was found to be main influencing factor on the surface roughness, followed by tool’s nose radius. However, it decreased with decreasing the feed rate while it increased with decreasing the nose radius. The other parameters remained a stable. Furthermore, the interaction of feed rate/tool’s nose radius was found to be statistically significant on the surface finish because their p-values are smaller than 5%.
The surface roughness
model is developed
in terms of
main cutting parameters
such as cutting speed,
feed rate, depth
of cut and
tool nose radius,
using a full-factorial design approach. Machining
tests were carried
out in turning
AISI 4140 steels
with CVD-coated carbide cutting
tools under different
conditions. Moreover, analysis
of variance is
used to examine
the impact of machining parameters on surface
roughness. It is shown that the feed rate was
found to be
main influencing factor
on the surface
roughness, followed by
tool’s nose radius.
However, it decreased
with decreasing the
feed rate while
it increased with decreasing the
nose radius. The
other parameters remained
a stable. Furthermore,
the interaction of
feed rate/tool’s nose
radius was found
to be statistically
significant on the surface
finish because their p-values are smaller than 5%.