Title of Paper:Machining feature recognition method for thin-walled and multi-cavity structural parts

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Affiliation of Author(s):机电学院

Journal:Jisuanji Jicheng Zhizao Xitong

Abstract:Aiming at the inefficiency of machining feature recognition and the difficulty of recognizing intersecting features for thin-walled and multi-cavity structural parts, a hybrid and parallel recognition method based on rules, layer and feature suppression was put forward. Machining features could be recognized concurrently by every cavity to improve recognition efficiency based on idea of grouping cavities and classifying machining features. The features were suppressed in time after recognizing to simplify the recognition of intersecting features. The method of grouping cavities and classification of machining features were discussed. The process of recognition was elaborated: rules and property of edges were used to recognize complete holes, independent ribs and intersecting ribs firstly; layer and intersecting holes were recognized by using layer and feature suppression technology; the left features were recognized back to the main thread at last. An instance part was used to analyze the efficiency of algorithm and verify the effectiveness of the proposed method. © 2017, Editorial Department of CIMS. All right reserved.

ISSN No.:1006-5911

Translation or Not:no

Date of Publication:2017-12-01

Co-author:Zhang Dan,zdw,Xu Feng,Xia, Sanxing

Correspondence Author:Li Weitao