The invention discloses a dynamic disturbance response-oriented parallel multi-objective
machining parameter optimization method. The method comprises the following steps that: step 1, when a
numerical control machine tool performs multi-objective
machining, a to-be-machined
feature set distributed to the current
numerical control machine tool is loaded, and the
feature set is divided into a plurality of feature subsets; step 2, whether emergency workpiece
insertion disturbance exists is judged, and the feature subsets are divided into a plurality of feature sub-subsets; step 3, a
machining energy consumption model, a
machining time model and a cutter abrasion model are established, a parallel multi-objective double-archive
evolutionary algorithm is adopted to adaptively allocate optimization objectives according to a result indicating whether disturbance occurs in a current
machining process, and meanwhile, optimal machining parameters are searched for the plurality of feature sub-subsets obtained in the step 2, and are written into the Gcode program of corresponding features; and step 4, the Gcode program is delivered to the
numerical control machine tool so as to be executed. According to the dynamic disturbance response-oriented parallel multi-objective machining parameter optimization method of the invention, on the basis of the self-adaptive allocation of the optimization objectives, machining parameter optimization for
machining process dynamic disturbance response is realized through the parallel multi-objective double-archive
evolutionary algorithm.