Multi-objective integrated optimization of tool geometry angles and cutting parameters for machining time and energy consumption in NC milling

The manufacturing industry has a large volume and a wide range of energy consumption. It is the main body of energy consumption in the industrial field. In recent years, a great challenge has been posed to the manufacturing industry to improve sustainable development for low energy consumption and high efficiency. The energy efficiency of manufacturing systems has become an important research hotspot in the sustainable development of the world’s manufacturing. Aiming at the problem of low energy efficiency in the current machining process, this paper considers the relationship between tool geometric angles and energy consumption, and on the basis of the current energy consumption model establishes an energy consumption model with independent variables including cutting parameters and tool geometric angles. In order to achieve energy-saving and high efficiency, a multi-objective optimization model was established with cutting parameters and tool geometric angles as optimization variables, combined with actual machine tool and process parameter constraints. The model is solved by the elitist non-dominated sorting genetic algorithm (NSGA-II), and an optimized combination of cutting parameters and tool geometric angle is obtained. Through the comparison experiments conducted with the processing methods that are respectively based on the experience and simply optimize the cutting parameters in the actual milling test, the practivity and validity of the method proposed are verified. The test results show that integrated optimization of cutting parameters and tool geometric angles can reduce energy consumption by 8.77% at least.