A generalized analysis of energy saving strategies through experiment for CNC milling machine tools

Abstract

This paper proposes the elaboration model of energy requirement prediction taking into account the power of standby, spindle rotation in non-load, feeding and rapid movement in X, Y, Z+ and Z-axially, and specific energy consumption (SEC) in the X and Y cutting directions respectively, which could not be considered completely in other models. Each part energy of specific machine tools could be obtained through little experiments for identifying the relationship between energy and tool path with cutting parameters. The method is validated by 27 trial cutting experiment in X and Y cutting directions in VMC850E machine, the results show that the SEC in the X and Y cutting directions are exactly different. Moreover, it is found that spindle power should be piecewise linear representation according to spindle speed characteristic, due to the correlation coefficient of power model only has 25.45% without segmented. Additionally, the correlation coefficient of improved SEC model could reach to more than 99.98% in each segment. The contribution of this paper is mainly the elaboration energy consumption model considering the cutting direction, which is an efficient approach for predicting energy consumption through tool path to achieve sustainable production in manufacturing sectors.

A combination of the particle swarm optimization-artificial neurons network algorithm and response surface method to optimize energy consumption and cost during milling of the 2017A alloy

“…These results are similar to those of Shi et al (2019), who also found that depth of cut was the most effective parameter for energy consumption. Similarly, Feng et al (2021) also observed that depth of cut was the most influential factor but found that the effects of a p and f were very close to each other. Figures 5 and 6 clearly illustrate that the depth of cut has a significant effect on the energy consumed and the machining cost, as there is a greater slope than the other two parameters.…”

Structural design and finite element analysis of a milling machine sliding saddle

“…The spindle sleeve moves up and down on the crossbeam of the milling machine through a guide rail, and the sliding saddle can drive the spindle sleeve to move horizontally left and right on the crossbeam, achieving the cutting motion of the milling machine. The crossbeam of the machine tool is mainly subjected to the cutting force of the tool, as well as the gravity of the saddle, spindle sleeve, and spindle itself [4]. From this, it can be seen that as key components on the milling machine, the crossbeam, saddle, and spindle sleeve of the milling machine bear most of the working load.…”