کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
568261 1452126 2016 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Feature recognition and volume generation of uncut regions for electrical discharge machining
ترجمه فارسی عنوان
به رسمیت شناختن ویژگی ها و تولید حجم ناخالص داخلی برای ماشینکاری دیزل الکتریکی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزار
چکیده انگلیسی


• The definition and classification of the hint feature points are proposed.
• The heuristic rules are proposed to rapidly identify uncut regions and their types.
• The geometric reasoning-based algorithms are presented for the decomposition of the interacting region.
• The CAD model of volume feature can be generated, which can be used for the shape design of electrodes.
• The related parameters of volume feature are extracted, which can be used for the parametric design of electrodes and the setting of processing parameters.

Feature techniques have played an important role in CAD/CAM integration. These techniques need to be developed for each type of manufacturing process owing to its unique characteristics. Therefore, an approach is proposed in this paper to extract the machining feature of region containing internal sharp points for the process preparation of electrical discharge machining (EDM). The hint feature points are innovatively defined and classified into three types: internal sharp points, cutting-into points and interacting points. Based on this, our approach firstly identifies the faces and the type of the region. Secondly, the interacting region is decomposed into isolated regions through reconstructing the topological structure of the region. Thirdly, the reconstructed faces and original faces are stitched together to form a closed surface, and the CAD models of volumetric features are constructed. Finally, the position and dimension parameters are extracted and saved. The shape and parametric information extracted can be used for subsequent procession preparation, so as to promote the CAD/CAM integration of EDM.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Advances in Engineering Software - Volume 91, January 2016, Pages 51–62
نویسندگان
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