Interacting and Advanced Machining Feature Recognition Using Novel Concept of Convexity Degree

Publish Year: 1391
نوع سند: مقاله کنفرانسی
زبان: English
View: 1,147

متن کامل این Paper منتشر نشده است و فقط به صورت چکیده یا چکیده مبسوط در پایگاه موجود می باشد.
توضیح: معمولا کلیه مقالاتی که کمتر از ۵ صفحه باشند در پایگاه سیویلیکا اصل Paper (فول تکست) محسوب نمی شوند و فقط کاربران عضو بدون کسر اعتبار می توانند فایل آنها را دریافت نمایند.

  • Certificate
  • من نویسنده این مقاله هستم

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این Paper:

شناسه ملی سند علمی:

ISME20_145

تاریخ نمایه سازی: 18 تیر 1391

Abstract:

Automatic recognition of machining features is one of the key modules in automation procedure of computer aided applications. In this study, a hybrid graph and hint based approach has been used for recognition of interacting and advanced features. A novel concept of convexity degree has been introduced adding capabilities of recognizing features beyond the usual FR systems. The introduced system is impregnated with neutral format read/write capability enabling its independence from design software. It incorporates a multi-TAD tree-view representation mechanism capable of presenting the recognized features in TAD-sorted format. Using incorporated innovations, the developed FR software is capable of recognizing diversities of isolated, interacting (of nested, volumetric and adjacent types) and advanced (of fillet, open pocket, 2.5D passages and protrusion types) features. Also, the developed system is capable of recognizing common features in cylindrical (lathe features) models, too. Finally, diversities of 3D models having complex features have been used for testing system recognition capabilities.

Authors

Hadi Parvaz

Ph.D. student in manufacturing engineering, Tarbiat Modares University

Mohammad Javad Nategh

Associate professor in manufacturing engineering, Tarbiat Modares University