کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1696831 1519234 2016 17 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Classification and identification of surface defects in friction stir welding: An image processing approach
ترجمه فارسی عنوان
طبقه بندی و شناسایی نقص های سطح در جوشکاری جوش اصطکاک: روش پردازش تصویر
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی صنعتی و تولید
چکیده انگلیسی

Friction stir welding (FSW) is a new entrant in welding technology and getting a defect-free weld is the final objective. But different defects are generated due to various reasons and needs to be analyzed to eliminate them. The aim of the research work is to identify and classify different kinds of surface defects generally encountered during the FSW process using digital image processing techniques. The defects on the surface of the weld are identified using image pyramid and image reconstruction algorithms. Further, using these algorithms the defects can be classified into voids, grooves, cracks, key-hole and flash with the help of unique features of each kind of defect. Vertical intensity plot and the area plot of the defect blobs are represented for the proper localization and analysis of severity of defects.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Manufacturing Processes - Volume 22, April 2016, Pages 237–253
نویسندگان
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