Behavior of austenitic stainless steels has been studied at very high cutting speeds. Turning
tests were carried out using the AISI 303 austenitic stainless steel. In particular, the influence …

The energy efficiency identification of machining process plays an indispensable part in
achieving energy-efficient manufacturing and improving energy utilization as well as …

This study investigates the use of machine learning models to predict surface roughness
(Ra) in milling multi-grade aluminum alloys without prior knowledge of optimal cutting …

The purpose of this paper is to study the effect of speed, feed and depth of cut on surface
roughness (Ra) and cutting force (Fc) in turning mild steel using high speed steel cutting …

In this study, the machinability of Stellite-6 coating material was examined. For this purpose,
Stellite-6 coating materials and two different types of cutting tool materials (ceramics and …

Today's manufacturing systems are becoming increasingly complex, dynamic and
connected hence continual prediction of manufactured product quality is a key to look for …

Microgeometry surface profile is one of the most important characteristics of a machined
surface. Among the parameters to respect, it is important to predict the surface profile which …

Results from the temperature field and thermal deformation simulation of a spindle system
are greatly affected by the accuracy of convective heat transfer coefficients (CHTCs). This …

The aim of the paper was to examine the influence of cutting conditions on the roughness of
surfaces machined by longitudinal turning, namely of surfaces coated with Stellite 6 …

Surface roughness is an important feature of the product quality. In this paper, the function of
ensuring workpiece processing quality and reducing the detection time of surface roughness …