کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
508948 865465 2013 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Efficient tool path computation using multi-core GPUs
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
Efficient tool path computation using multi-core GPUs
چکیده انگلیسی

Tool path generation is one of the most complex problems in Computer Aided Manufacturing. Although some efficient strategies have been developed, most of them are only useful for standard machining. However, the algorithms used for tool path computation demand a higher computation performance, which makes the implementation on many existing systems very slow or even impractical. Hardware acceleration is an incremental solution that can be cleanly added to these systems while keeping everything else intact. It is completely transparent to the user. The cost is much lower and the development time is much shorter than replacing the computers by faster ones. This paper presents an optimisation that uses a specific graphic hardware approach using the power of multi-core Graphic Processing Units (GPUs) in order to improve the tool path computation. This improvement is applied on a highly accurate and robust tool path generation algorithm. The paper presents, as a case of study, a fully implemented algorithm used for turning lathe machining of shoe lasts. A comparative study will show the gain achieved in terms of total computing time. The execution time is almost two orders of magnitude faster than modern PCs.


► We present an optimization that uses a specific graphic hardware approach (using CUDA technology) for acceleration.
► This improvement is implemented on the Virtual Digitizing algorithm used for turning lathe machining of shoe lasts.
► The algorithm has been successfully implemented in commercial CAD/CAM software.
► This new approach could be easily exported to other tool path generation algorithms in order to improve their computing cost.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers in Industry - Volume 64, Issue 1, January 2013, Pages 50–56
نویسندگان
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