Machining feature extraction for casting parts

B. F. Wang, Y. Zhang, J. Fuh
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引用次数: 1

Abstract

An approach to extract machining features for casting parts is presented. It is capable of recognizing interacting machining features. There are five phases in the recognition process: Boolean difference of the final part model and the raw part; identification of machining faces (M‐faces) from the final part model and the raw part model; decomposition of the removed simple volumes into delta simple volumes based on M‐faces; gluing the delta simple volumes into sets of feasible simple volumes based on M‐faces; testing. This strategy is process‐oriented and feature‐independent. It recognizes all features that can be produced by common machining operations in a uniform way and produces alternative sets of machining features.
铸件加工特征提取
提出了一种铸件加工特征提取方法。它具有识别相互作用的加工特征的能力。识别过程分为五个阶段:最终零件模型与原始零件的布尔差;从最终零件模型和原始零件模型中识别加工面(M -面);将移除的简单体分解为基于M面的δ简单体;将δ简单体积粘接到基于M面的可行简单体积集合中;测试。这种策略是面向过程和独立于特征的。它以统一的方式识别普通加工操作可以产生的所有特征,并产生可选择的加工特征集。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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