Due to the advances in the digitalization process of the manufacturing industry and the
resulting available data, there is tremendous progress and large interest in integrating …

The purpose of this experimental work is to study the impact of the machining parameters
(Vc, ap, and f) on the surface roughness criteria (Ra, Rz, and Rt) as well as on the cutting …

In this study, predictive modelling was performed for the cutting forces generated during the
orthogonal turning of AISI 316L stainless steel. An artificial neural network (ANN) and a …

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

The demand for optimization of manufacturing processes rises as a reflection of the highly
competitive market environment that requires shorter lead time and lower production costs …

Process safety techniques have been used in industry for decades to make processes and
systems safer and to optimize them, and thus to improve sustainability. Their main aim is to …

Determination of optimum cutting parameters is one of the most essential tasks in process
planning of metal parts. However, to achieve the optimal machining performance, the cutting …

Using reinforcement learning to find new control strategies for manufacturing processes is a
promising approach. However, in order to use reinforcement learning in a manufacturing …

In die manufacturing industries surface roughness is considered as a vital quality
characteristic in order to retain the consumers' satisfaction. On the other hand …