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Feature Extraction and Classification for Rotational Parts Taking 3D Data Files as Input

以三維資料輸入之圓形工件特徵抽取與辨認

摘要


特徵抽取與辨認被公認是電腦輔助設計與電腦輔助程序規劃之間橋樑。本文提出一以圓形工件三維資料檔案輸入之特徵抽取及辨認方法,特徵之交互作用亦考慮在內,此特徵抽取與辨認方法包含三步驟,第一個步驟從電腦輔助設計資料檔案抽取特徵,第二個步驟辨認特徵,第三個步驟根據要整合與分解特徵。最後以兩個示範工件來解釋本文提出之方法,系統已成功地在個人電腦以C語言發展出來。

並列摘要


Feature extraction and classification is considered as the bridge between Computer-Aided Design (CAD) and Computer-Aided Process Planning (CAPP). This paper proposes a method that can extract and classify turning (including symmetric and non-symmetric) and non-turning features that are concave, convex, or complex for rotational parts taking a 3D data file as input. In addition, feature interactions are also taken into consideration in this methodology. The proposed feature extraction and classification method consists of three basic procedures. The first procedure extracts concave, convex and complex features from a 3D CAD data file. The second procedure classifies the extracted features. The third procedure merges and decomposes extracted features. Two sample application descriptions are presented for demonstration purposes. The system has been implemented in C on a PC-based system.

參考文獻


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