Complex cavity cutter combination optimization method based on genetic algorithm

The invention discloses a complex cavity cutter combination optimization method based on a genetic algorithm, and the method comprises the following steps: firstly recognizing the manufacturing features of a cavity, obtaining a machining region, and obtaining a feasible region of a given cutter through a feature center axis guided cutter rough machining region calculation method; secondly, constructing a feasible cavity machining cutter set through an offset ring algorithm, finally, establishing a complex cavity part cutter combination optimization model with machining efficiency and cutter cost as optimization targets, and solving the multi-cutter combination optimization model through a directed graph and an improved genetic algorithm to obtain an optimal cutter combination. Compared with a traditional method for researching a single-feature optimal tool solution of the cavity, the invention pays more attention to acquisition of an optimal solution of a cavity part level, and when the cavity part is complex