A Multi-TAD Framework for Recognizing Machining Features Using Hint Based Recognition Algorithm

Abstract

Feature recognition is a powerful tool for integrating CAD and CAM. Hint based algorithm is one of the most useful tools for recognizing features that is usually used with other algorithms forming hybrid systems. In the present study, hint based algorithm has been chosen as the main tool for recognizing machining features by defined recognition rules. Beside the need for low computation, the specific characteristic of the proposed recognition system is its multi-tool access direction (multi-TAD) property where the designed algorithm recognizes and lists each machining feature with its special access direction. It detects all the features available in each TAD and sorts the TADs in descending order of their number of features. The developed recognition system is capable of recognizing different types of isolated and nested intersecting feature types. The developed software accepts neutral file formats (i.e. STEP and IGES) beside the B-Rep CAD model as its input CAD file. The developed system has been tested with different CAD parts.