An artificial intelligence planning approach to manufacturing feature recognition
An artificial intelligence planning approach to manufacturing feature recognition
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DOI：
10.1016/j.cad.2009.11.007
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发表时间：
2010-03-01
影响因子：
4.3
通讯作者：
Forradellas, Raymundo Q.
中科院分区：
文献类型：
--
作者：
Marchetta, Martin G.;Forradellas, Raymundo Q.
在制造业中，特征已被广泛接受为有用的概念，特别是它们被用作CAD和CAPP系统之间的接口。以前的特征识别研究集中在相交特征和多重解释的问题上，但没有解决自定义特征表示的问题。特征的表示是使特征识别更实用的一个重要方面。本文提出了一种基于人工智能规划的混合过程和基于知识的方法，它既解决了经典的特征解释问题，也解决了特征表示问题。STEP设计作为案例研究，以证明模型的有效性（C）2009爱思唯尔有限公司版权所有。
Within manufacturing, features have been widely accepted as useful concepts, and in particular they are used as an interface between CAD and CAPP systems Previous research on feature recognition focus on the issues of intersecting features and multiple interpretations, but do not address the problem Of Custom features representation. Representation of features is an important aspect for making feature recognition more applicable in practice. In this paper a hybrid procedural and knowledge-based approach based on artificial intelligence planning is presented, which addresses both classic feature interpretation and also feature representation problems. STEP designs are presented as case studies in order to demonstrate the effectiveness of the model (C) 2009 Elsevier Ltd All rights reserved.