Online monitoring and optimisation of technological parameters are very effective methods
of improving productivity and machining surface quality, especially in high-speed milling …

During the actual high-speed machining process, it is necessary to reduce the energy
consumption and improve the machined surface quality. However, the appropriate …

The purpose of this research is to investigate different milling parameters for optimization to
achieve the maximum rate of material removal with the minimum tool wear and surface …

Purpose: Selection of machining parameters is an important step in process planning
therefore a new evolutionary computation technique is developed to optimize machining …

Parametric modelling and optimisation play an important role in choosing the best or optimal
cutting conditions and parameters during machining to achieve the desirable results …

Cutting parameters and machining configurations affect the energy consumption and
production time in the machining process significantly. Previous cutting parameters …

The main purpose of the present paper is to study the cutting parameter optimization
technology by combining the response surface methodology (RSM) with the improved …

Micro milling process aims to manufacture complex micro/meso structures, and the reduction
of material removal volume determines the possible decrease of the total energy use, which …

In the present work, a new hybrid approach combining particle swarm optimization (PSO)
algorithm with recurrent dynamic neural network (RDNN), which is described as PSO-RDNN …

For improving energy efficiency of machining process, extensive studies focused on how to
establish energy consumption model and optimize cutting parameters. However, the existing …