Customization of a Micro Process Planning System for an Actual Machine Tool based on Updating a Machining Database and Generating a Database-Oriented Planning Algorithm
Shinji Igari, Fumiki Tanaka, Masahiko Onosato
This study proposes an automatically customizable micro process planning system that reflects the change of properties of an actual machine tool to generate optimal machining information. The system consists of an updatable machining database and a database-oriented micro process planning algorithm. A machining database is updated based on analyzing NC data that are adaptively generated for an actual machine tool by skilled process planners. From the updated machining database, a database-oriented micro process planning algorithm is generated by a decision tree and a regression tree. Machining strategy and cutting tools are determined using IF-THEN rules that are generated from the database by the decision tree method. Cutting conditions are determined from a feasible regression equation. Regression equations and selection rules of these equations are generated from the database by the regression tree method. An example of micro process planning using the generated algorithm is also shown.