Paper Title
Estimation of Modelling Parameters for Tool Wear on Turning of Ti6al4v by using Gravitational Search Algorithm
Abstract
Titanium and its alloys have become more widespread by advantages of the high strength, low weight ratio and
outstanding corrosion resistance. Ti6Al4V alloy, which is preferred in medical, electronics and aeronautics, is a material with
the highest machinability in titanium alloys. Thus, machining parameters designing of this alloy and pre-calculation by
modeling of them is very important to decrease of the tool wear. There are several modelling techniques and assumptions to
predict parameters of machinability. In this study, for modelling of machining parameters, cutting speed and volume of chip
are defined as input parameters and tool wear is defined as output. Then, all these parameter values have been experimentally
obtained. Linear, quadratic and exponential formulations have been used for modelling. The coefficients of these equations
have been found optimally by using Gravitational Search Algorithm (GSA). The objective function is aimed to decrease error
value between predicted and measured. Obtained results from three different formulations have been compared each other.
Index Terms - Ti6Al4V, linear regression, tool wear, Gravitational Search Algorithm