Optimization of Cutting Parameter of CNC using Taguchi Method

This study present a new method to determine optimum turning parameters based on the Taguchi method to minimize cycle time and surface roughness (Ra). Experiments have been conducted using the L27 orthogonal array in a CNC turning machine. Dry turning tests are carried out on hardened EN353 with Insert TNMGR0.8. Each test is carried out in batch of three and every time uses a new cutting insert in order to get accurate readings of the surface roughness. The statistical methods of signal to noise ratio (SNR) are applied to investigate effects of cutting speed, feed rate and depth of cut on cycle time and surface roughness (Ra). The results shows that the feed rate is the dominant factor affecting surface roughness. In addition, the effects of two factor interactions of the feed rate-cutting speed and depth of cut-cutting speed appear to be important. The developed model can be applied in the metal machining industries in order to calculate the optimum cutting parameters for minimum cycle time and surface roughness.