Parameter Optimization for JIS S45C Steel Turning Process Based on Taguchi Method.

Modern machining process took the machining tool life span and product quality at highest priority in order to obtained optimum cost effectiveness. In achieving this quality, the consideration of cutting parameters level are the most important part should be engaged. Hence this study investigates the effect of four cutting parameters which are cutting speed, depth of cut, feed rate, and tool nose run off onto JIS S45C steel turning process. The turning process is using uncoated tungsten carbide as cutting tool insert and been computationally simulated using DEFORM software. Three outputs which are cutting load, cutting tool temperature, and tool effective stress will be analyze for this research. The characteristics performance the optimal cutting parameters of the JIS S45C steel turning process is analyzed based on Taguchi method and ANOVA analysis. It is obviously shown us that the feed rate and cutting speed give huge impact on cutting tool temperature change and directly contribute to the tool wear and surface roughness changes. Experimental results are provided to illustrate the effectiveness of this approach. Throughout this study the main cutting parameters that affect the cutting performance in turning operations and the best combination are classified. [ABSTRACT FROM AUTHOR]