دانلود مقاله ISI انگلیسی شماره 61359
ترجمه فارسی عنوان مقاله

استراتژی مدل سازی معکوس مبتنی بر قابلیت

عنوان انگلیسی
Feature-based reverse modeling strategies
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
61359 2006 22 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Computer-Aided Design, Volume 38, Issue 5, May 2006, Pages 485–506

ترجمه کلمات کلیدی
مهندسی معکوس؛ قابلیت تشخیص؛ محدودیت های هندسی - اتصالات محدود ؛ آمار و احتمالات
کلمات کلیدی انگلیسی
Reverse engineering; Feature recognition; Geometric constraints; Constrained fitting; Probability and statistics
پیش نمایش مقاله
پیش نمایش مقاله  استراتژی مدل سازی معکوس مبتنی بر قابلیت

چکیده انگلیسی

We presented two integrated solution schemes, sectional feature based strategy and surface feature based strategy, for modeling industrial components from point cloud to surfaces without using triangulation. For the sectional feature based strategy, slicing, curve feature recognition and constrained fitting are introduced. This strategy emphasizes the advanced feature architecture patterns from 2D to 3D in reverse engineering. The surface feature based strategy relies on differential geometric attributes estimation and diverse feature extraction techniques. The methods and algorithms such as attributes estimation based on 4D Shepard surface, symmetry plane extraction, quadric surface recognition and optimization, extruded and rotational surface extraction, and blend feature extraction with probability and statistic theory are proposed. The reliable three-dimensional feature fabricated the valid substratum of B-rep model faultlessly. All the algorithms are implemented in RE-SOFT, a reverse engineering software developed by Zhejiang University. The proposed strategies can be used to capture the original design intention accurately and to complete the reverse modeling process conveniently. Typical industrial components are used to illustrate the validation of our feature-based strategies.