This study focuses on machining automobile parts such as drive shafts and axles
made of low alloy steel AISI 4140. The influence of cutting inserts geometrical
parameters, viz., relief angle (RIA), rake angle (RAA), and nose radius (NA) are
studied by designing experiments using Taguchi’s methodology. Numerical
simulation is conducted using DEFORM-2D; a suitable L9 orthogonal
array (OA) is considered for this work for varying combinations of inputs, and
the resultant cutting force, maximum principal stress, and tool life are
determined. Adopting a signal-to-noise (S/N) ratio minimizes the outputs for
better machining conditions and achieves high-quality components with precision,
tolerance, and accuracy. The ideal conditions obtained from the S/N ratio are
RAA of 6°, RIA of 3°, and NR of 0.6 mm. Analysis of variance presents that the
NR influences the resultant cutting force, wear depth, and work piece damage
73.51%, RAA following by 23.99%, and RIA by 2.03% achieved with a R2
value of 99.53%.