کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
829003 | 1470334 | 2014 | 8 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Experimental investigation and prediction of wear properties of Al/SiC metal matrix composites produced by thixomoulding method using Artificial Neural Networks
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موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مهندسی (عمومی)
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
• Reinforced SiC aluminium matrix composites produced by thixomoulding process.
• Two different temperatures were used in production of the MMCs.
• The wear test of produced composites was done.
• Artificial Neural Network model was developed for the prediction weight loss.
In this study, the wear properties of the SiC particle reinforced aluminium (A356) composite materials (MMCs), produced with thixomoulding method, were investigated both by experimental and Artificial Neural Network (ANN) model in order to determine the w
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Materials & Design - Volume 63, November 2014, Pages 270–277
Journal: Materials & Design - Volume 63, November 2014, Pages 270–277
نویسندگان
Dursun Özyürek, Ali Kalyon, Musa Yıldırım, Tansel Tuncay, İbrahim Çiftçi,