Modeling and Optimization of CNC Turning Parameter using Taguchi Method

In modern competitive world the ultimate goal of manufacturing industries, is to manufacture products at low cost and high quality in short time. Automated and flexible manufacturing systems are employed for that purpose along with CNC machines that are capable of achieving high quality and very low processing time. Metal cutting process is one of the complex process which has several factors contributing towards the quality of the finished product. Turning is one of the most common methods for cutting and especially for machining cast parts. Furthermore, in order to produce any product with high cutting performance, selection of proper cutting parameter is very important. To select the cutting parameters, several mathematical models based on statistical techniques and neural networks have been developed to establish a relation between cutting parameters and cutting performance. The objective of this paper is to review of application of Taguchi method and other statistical method for optimization of turning Parameters to meet the customers’ demands.