کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
11000527 1424929 2019 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Vision based algorithm for automated determination of smoke point of diesel blends
ترجمه فارسی عنوان
الگوریتم مبتنی بر دیدگاه برای تعیین خودکار نقطه دود ترکیبات دیزلی
کلمات کلیدی
نقطه دود، شاخص تورم آستانه، تندرستی، روش خودکار، پردازش تصویر،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی مهندسی شیمی (عمومی)
چکیده انگلیسی
Current regulations restrict NOx and particulate emissions (PM) produced by new vehicles. One solution for reducing these emissions, mainly PM, is focused on the use of cleaner fuels. In this sense, the smoke point test (SP) has been proved to be a fast tool when comparing the sooting tendency of fuels. As manual SP determination can imply an error owing to the inherent uncertainty of visual flame observation, the updated ASTM D1322-18 has stated that the new commercial equipment SP10 Automated Smoke Point Analyser is the reference for SP determination. However, its high cost has motivated this work where a vision based algorithm for automated determination of SP without wick-fed modifications is proposed. Experimental results demonstrate the accuracy and repeatability of the proposed method.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Fuel - Volume 235, 1 January 2019, Pages 595-602
نویسندگان
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