کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
7001185 1454759 2018 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A statistical prediction on wear and friction behavior of ZrC nano particles reinforced with AlSi composites using full factorial design
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی شیمی کلوئیدی و سطحی
پیش نمایش صفحه اول مقاله
A statistical prediction on wear and friction behavior of ZrC nano particles reinforced with AlSi composites using full factorial design
چکیده انگلیسی
This paper investigates the dry sliding wear and friction behavior of pure Aluminium (Al), Al12 Si with its reinforcement ZrC in various weight percentages. The samples were prepared by Powder Metallurgy method. The wear test was conducted using the pin-on-disc, with the varying the parameters of normal load (10-40 N), sliding distance (500-2000 m) and constant sliding velocity of 2.618 m/s. The ZrC reinforced specimens showed the lower coefficient of friction and maximum wear resistance. The influence and percentage contribution of variable parameters were analyzed using Minitab 17.3.1 software. The wear worn surface of the hybrid composites was analyzed using Scanning Electron Microscope and reveals that Al12Si shows fracture and deformed whereas Al12Si15ZrC consists of fine and coarse powders with uniform distribution and there is very less wear debris are seen. Al12Si15ZrC shows reduced coefficient of friction and specific wear rate while the load and sliding distances increases with increase in wt.% of carbide reinforcement.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Surfaces and Interfaces - Volume 10, March 2018, Pages 149-161
نویسندگان
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