The selection of suitable machining parameters is an important task to obtain a
suitable surface finish at the least possible tool wear when machining metal matrix
nanocomposites. The aim of this work is to predict the appropriate cutting parameters
for machining of metal matrix nanocomposites through dry turning operations using
uncoated carbide inserts to produce the desired surface roughness at minimum tool
wear. Al/SiC metal matrix nanocomposites are employed in experimentation, utilizing
five different volume percent of SiC nanoparticulates. Practical investigation is
performed through dry turning operations that are conducted at different values of
cutting speed, feed and depth of cut. A fuzzy logic control system is developed to
predict both surface roughness and tool wear result as a function of the cutting
parameters and the different volume percent of nanoparticulates under experimental
consideration. The results of the fuzzy logic control system are compared with the
obtained experimental results. The predicted values have an average accuracy of 90%
in case of surface finish and 80% in case of flank tool wear. Thus, a fuzzy logic
control system can be used to predict both surface roughness and tool wear in turning
of such materials under the considered range of conditions. |
