دانلود مقاله ISI انگلیسی شماره 61354
ترجمه فارسی عنوان مقاله

تشخیص هدف طراحی در مدل های CAD تقریبی با استفاده از تقارن

عنوان انگلیسی
Detecting design intent in approximate CAD models using symmetry
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
61354 2010 19 صفحه PDF
منبع

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

Journal : Computer-Aided Design, Volume 42, Issue 3, March 2010, Pages 183–201

ترجمه کلمات کلیدی
قصد طراحی ؛ تقارن تقریبی؛ قابلیت تشخیص؛ دستگاه؛ مهندسی معکوس؛ انتقال داده های CAD
کلمات کلیدی انگلیسی
Design intent; Approximate symmetry; Feature recognition; Beautification; Reverse engineering; CAD data transfer
پیش نمایش مقاله
پیش نمایش مقاله  تشخیص هدف طراحی در مدل های CAD تقریبی با استفاده از تقارن

چکیده انگلیسی

Finding design intent embodied as high-level geometric relations between a CAD model’s sub-parts facilitates various tasks such as model editing and analysis. This is especially important for boundary-representation models arising from, e.g., reverse engineering or CAD data transfer. These lack explicit information about design intent, and often the intended geometric relations are only approximately present. A novel solution to this problem is presented based on detecting approximate local incomplete symmetries, in a hierarchical decomposition of the model into simpler, more symmetric sub-parts. Design intent is detected as congruencies, symmetries and symmetric arrangements of the leaf-parts in this decomposition. All elementary 3D symmetry types and common symmetric arrangements are considered. They may be present only locally in subsets of the leaf-parts, and may also be incomplete, i.e. not all elements required for a symmetry need be present. Adaptive tolerance intervals are detected automatically for matching inter-point distances, enabling efficient, robust and consistent detection of approximate symmetries. Doing so avoids finding many spurious relations, reliably resolves ambiguities between relations, and reduces inconsistencies. Experiments show that detected relations reveal significant design intent.