Ying Wu
Energy consumption, CNC, multi objective optimisation, grey correlation analysis, logistic regression model
For the optimisation of the machining process of the machine tool, the research from the machining process cutting parameters multi-objective optimisation (MOO) and considering the energy consumption (EC) of the workshop scheduling analysis, and then proposed a comprehensive consideration of the processing EC, productivity, and surface processing quality of the three trade- off MOO method of machining parameters. In this study, grey correlation degree weight coefficient and orthogonal experiment were used to verify the optimisation method. Considering the influence of cutting parameters on machining time and EC, a dual-layer optimisation scheduling method of mixed flow shop was adopted. In the experimental results, the scheduling results with double-layer optimisation are lower in terms of total process time and total EC. When the binocular criteria are met, the total process time is 1,083.1 s and the total consumption is 11,845.3 kJ. Optimisation results the total process time is reduced by 205%, the total EC of the workshop is reduced by 12.8%, and the goal of energy-saving optimisation of the workshop processing is realised.
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