Feature recognition is an important stage in digital manufacturing as it supports activities such as automated process planning and part re-design. This paper describes a two-stage algorithm for recognising features in sheet metal parts which are manufactured using progressive dies. Representation of the part in neutral format (STEP AP203) facilitates the first stage of this algorithm in which the thickness faces are extracted in the form of chains. In the second stage, an extracted chain of faces is classified by, first, determining its topological and geometric characteristics and then comparing its characteristics with pre-set attributes for each feature. The system was developed in C++ and has been successfully tested on representative parts containing features ranging from simple bends to composite features, such as a cut-out with lance.

特征识别是数字制造中的重要阶段，因为它支持诸如自动化过程计划和零件重新设计之类的活动。本文介绍了一种用于识别使用渐进式模具制造的钣金零件中的特征的两阶段算法。以中性格式表示零件（STEP AP203）有助于该算法的第一阶段，其中以链的形式提取厚度面。在第二阶段，首先通过确定其拓扑和几何特征，然后将其特征与每个特征的预设属性进行比较，对提取的人脸链进行分类。该系统是用C ++开发的，并且已经在具有代表性的零件上成功进行了测试，该零件包含从简单的折弯到复合零件的特征，例如带有喷枪的切口。