Abstract:

The NC machining is a widely used processing method in the mechanical manufacturing system. In order to realize the high efficiency of the NC machining, the NC milling parameters optimization problem for low energy and minimum cutting fluid consumption is studied. The energy consumption objective function and cutting fluid consumption objective function are established. Considering the machine tool property and processing quality constraints, a multi-objective optimization model is established, which takes the NC machining cutting speed and feed and cutting fluid flow as the variables, the lowest energy consumption and the minimum cutting fluid consumption as the optimization objectives and non-dominated sorting genetic algorithm-II (NSGA-II) algorithm is applied to solve it. An experiment case is performed to verify the effectiveness of the optimization model, and the machining parameters optimization results are analyzed.

Key words: cutting parameters, low energy, minimum cutting fluid, multi-objective optimization, NC machining