Highlights•Data-driven genetic algorithm is proposed and employed for machining process
parameters optimization.•Deep learning is employed to automatically develop the data …

In this study, a comparison of measured cutting parameters is discussed while machining
AISI 52100 low-alloy hardened steel under two different sustainable cutting environments …

Dry machining has been used as an alternative method in place of the conventional
machining process as the usage of cutting fluid has many side effects and adds more cost to …

Numerically controlled machine tools are commonly used in metalworking processes due to
their precision and reproducibility. However, finding the appropriate cutting parameters and …

An alarming pace of increase in worldwide energy consumption is being caused by
population expansion and economic development, particularly in emerging market …

Multi-objective optimization technique has become an essential step in the selection of
cutting parameters. The intension of this research study is to analyze the performance …

In this study, the multi-objective optimization problem of turning process was successfully
solved by a Taguchi combination method and MOORA techniques. In external turning …

Abstract Nowadays, sustainable Minimum Quantity Lubrication (MQL) technology has
significantly enhanced machinability, surface quality, and productivity comparing to dry …

During the development of a product, several steps and iterations are necessary for meeting
specifications and optimizing performance criteria. This article addresses machining …

In this study, we aimed to optimize the cutting parameters that affect the minimum
temperature and power consumption in the turning of AISI 52100 bearing steel. For this, the …