کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
7003731 1454935 2018 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Using acoustic emission signal categorization for reconstruction of wear development timeline in tribosystems: Case studies and application examples
ترجمه فارسی عنوان
با استفاده از طبقه بندی سیگنال انتشار آکوستیک برای بازسازی جدول زمان بندی رشد لباس در قبرس سیستم ها: مطالعات موردی و نمونه های کاربردی
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی شیمی کلوئیدی و سطحی
چکیده انگلیسی
The purpose of this work is to demonstrate how a new acoustic emission (AE) technique can be used to monitor friction surface degradation in a four-ball tribosystem under different types of lubrication. The AE method is based on a novel signal spectral categorization technique, and it was used to identify concurrent degradation processes in bearing steel. The correlation of AE features with the development of specific microstructural features on the contact surfaces has been used to identify the AE "signature" of specific damage mechanisms, and thus to monitor the progression of wear. The proposed approach enables the construction of a chronology of lubricant and/or contacting material degradation during tribological testing with a high degree of confidence. Furthermore, it provides an efficient means for automated wear monitoring and for real-time, non-supervised interpretation of the state of wear in a given tribosystem.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Wear - Volumes 410–411, 15 September 2018, Pages 83-92
نویسندگان
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