environmental friendly cutting fluids, has been successfully applied in some of the machining processes.
Recently, biodegradable lubricants have been gradually
replacing synthetic lubricants. Biodegradable cutting fluids
that accomplish the lowest amount of environmental contamination can provide high reliability and satisfactory
economic conditions. Additionally, the output of biobased cutting fluids is cleaner and contributes less mist
in the air, subsequently minimizing the occupational
health risks [12]. Although bio-based (vegetation) cutting
fluids are not perfect in all aspects, they have the least negative impact on the environment compared to other cutting fluids [5].
Various analytical methods for predicting surface
roughness, tool life and cutting forces have been investigated by researchers. Development of empirical models
for machinability parameters in a variety of machining
process have been performed based on data mining techniques such as statistical design of experiments (Taguchi
method, response surface methodology, etc.), computational neural networks, and genetic algorithms. All these
methods provide the impact of each individual factor as
well as the interactions between factors on the functional
objective. Taguchi method is a systematic approach to find
optimum values of design factors that lead to an economical design with low variability. Nalbant et al. [18] studied
Taguchi parameter design for the purpose of demonstrating a systematic procedure in process control and recognized the optimum surface roughness performance with
a more efficient combination of cutting parameters in turning process.