As a guest user you are not logged in or recognized by your IP address. You have
access to the Front Matter, Abstracts, Author Index, Subject Index and the full
text of Open Access publications.
Hardened steel is utilized in some of the critical engineering applications in aero, auto, rail, and sea industries to produce tools, dies, shafts, and other critical mechanical components requiring a high hardness. An experimental study of turning high hardened steel is undertaken to study the effect of cutting parameters on surface roughness and tool wear in dry high-speed machining using coated cutting tools. The considered cutting parameters include the cutting speed, feed rate and the depth of cut. Surface roughness and tool wear have been considered as process responses for investigation. A predictive model was developed to optimize the machining parameters, by applying the Taguchi method of “smaller is better” principle. Furthermore, the experimental design was used for parameters orientation, and the analysis of variance (ANOVA) was used for determining the effects of control factors. The effect of the cutting parameters on the surface roughness and tool wear is analyzed based on the experimental data. In high-speed machining of hardened steel, a suitable surface roughness can be achieved at moderate cutting speeds, but rapid tool wear is observed at extremely high cutting speeds. The depth of cut and feed have a negligible effect on both the surface roughness and tool wear compared to the cutting speed.
This website uses cookies
We use cookies to provide you with the best possible experience. They also allow us to analyze user behavior in order to constantly improve the website for you. Info about the privacy policy of IOS Press.
This website uses cookies
We use cookies to provide you with the best possible experience. They also allow us to analyze user behavior in order to constantly improve the website for you. Info about the privacy policy of IOS Press.