Abstract:

Aiming at the computer assisted clamping programming problem based on machining features, the clamping planning optimization method is proposed based on polymorphic ant colony algorithm. According to the machining features of part, define the machining operation unit, build the clamping planning model, then the integration order priority constraints polymorphic ant colony clamping planning optimization method is proposed. Where, order priority constraints is adjusted by dynamically taboo processing operation units by classifying machining operation units. Polymorphic ant colony algorithm is combined local search with global search, according to the state transition probability to choose in the feasible machining operation units, complete the planning of the clamping path. Finally, the feasibility and effectiveness of the polymorphic ant colony in solving the clamping planning problem is verified by the instances of typical parts clamping planning.

Key words: machining feature, machining operation unit, polymorphic ant colony algorithm, clamping planning