In this paper the idea of Self-Optimizing Machining Systems (SOMS) is introduced and
discussed. Against the background of Industry 4.0, here the focus is the technological level …

An adaptive-network based fuzzy inference system (ANFIS) was used to predict the
workpiece surface roughness after the end milling process. Three milling parameters that …

CNC milling has become one of the most competent, productive and flexible manufacturing
methods, for complicated or sculptured surfaces. In order to design, optimize, built up to …

The past decades of most industrial machines were replaced by the use of improved
machines like Computerized Numerical Controlled (CNC) machines and proved to be …

The method of electrical discharge machining (EDM), one of the processing methods based
on non-traditional manufacturing procedures, is gaining increased popularity, since it does …

Nowadays, the miniaturization of many consumer products is extending the use of micro-
milling operations with high-quality requirements. However, the impacts of cutting-tool wear …

This paper presents a summary of recent developments in modeling and optimization of
machining processes, focusing on turning and milling operations. With a brief analysis of …

The results presented in this paper are related to the prediction of the surface roughness
generated by the grinding process. The main problems associated with the prediction …

Machining process modeling, simulation and optimization is one of the kernel technologies
for virtual manufacturing (VM). Optimization based on physical simulation (in contrast to …

This paper proposes an intelligent model-based optimization methodology for optimizing the
production cost and material removal rate subjected to surface quality constraint in turning …