کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
7003786 | 1454936 | 2018 | 29 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Numerical model for prediction of tool wear and worn-out pin profile during friction stir welding
ترجمه فارسی عنوان
مدل عددی برای پیش بینی سایش ابزار و پروفیل پین فرسوده در جوش اصطکاک
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کلمات کلیدی
اصطکاک جوشکاری مدل سازی عددی، چرخه حرارتی، استرس، عمق بپوشید مشخصات پین ابزار،
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی شیمی
شیمی کلوئیدی و سطحی
چکیده انگلیسی
Understanding tool wear during friction stir welding (FSW) is important for joining of high melting point metallic (HMPM) materials. Heat transfer and material flow based models developed in past have improved understanding of the FSW process. However, numerical models to predict tool wear and pin profile during FSW of HMPM materials are not available. Thus, the current research has focused on developing a heat transfer and material flow based model to predict tool wear and worn-out tool pin profile of H13 steel during FSW of Cu-0.8Cr-0.1Zr (CuCrZr) alloy. Temperature evolution and material flow are computed by solving conservation equations of mass, momentum and energy. The model thus developed is validated for thermal cycles and tool pin profile for various process parameters. Tool wear is predicted based on forces and stresses acting on the tool. Modified Archard's wear theory is applied to compute tool wear and worn-out tool pin profile. The wear model successfully predicts the worn-out tool pin profile and self-optimized phenomena for various process parameters. The model is also applied to understand the changes in worn-out pin profile during FSW process.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Wear - Volumes 408â409, 15 August 2018, Pages 96-107
Journal: Wear - Volumes 408â409, 15 August 2018, Pages 96-107
نویسندگان
Pankaj Sahlot, Amit Arora,