Optimum Designing of Forging Preform Die for the H-shaped Parts Using Backward Deformation Method and Neural Networks Algorithm
سال انتشار: 1393
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 143
فایل این مقاله در 18 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
این مقاله در بخشهای موضوعی زیر دسته بندی شده است:
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_MPMPJ-3-3_006
تاریخ نمایه سازی: 23 مهر 1400
چکیده مقاله:
In a closed die forging process, it is impossible to form complex shapes in one stage, and thus it becomes necessary to use preform dies. In the present study, Backward Deformation Method and FE simulation via ABAQUS software has been used in order to design preform die of the H-shaped parts. In the Backward Deformation Method, the final shape of the part is considered as a starting point and using a specific method, a plastic returning path is predicted. Afterwards, using FE results obtained by simulation of the forging process, an artificial neural network is designed to predict the material behavior under various conditions and for different kinds of preform to select optimum preform dies.
کلیدواژه ها:
نویسندگان
Afshin Naeimi
MSc. Student of Department of Mechanical Engineering, Islamic Azad University of Khomeini Shahr.
Mohsen Loh Mousavi
Assistant Professor, School of Engineering, Department of Mechanical Engineering, Islamic Azad University of Khomeini Shahr
Ali Eftekhari
Assistant Professor, School of Engineering, Department of Mechanical Engineering, Islamic Azad University of Khomeini Shahr.