کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
833126 908131 2009 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Prediction of springback in wipe-bending process of sheet metal using neural network
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی (عمومی)
پیش نمایش صفحه اول مقاله
Prediction of springback in wipe-bending process of sheet metal using neural network
چکیده انگلیسی

The wipe-bending is one of processes the most frequently used in the sheet metal product industry. Furthermore, the springback of sheet metal, which is defined as elastic recovery of the part during unloading, should be taken into consideration so as to produce bent sheet metal parts within acceptable tolerance limits. Springback is affected by the factors such as sheet thickness, tooling geometry, lubrication conditions, and material properties and processing parameters. In this paper, the prediction model of springback in wipe-bending process was developed using artificial neural network (ANN) approach. Here, several numerical simulations using finite element method (FEM) were performed to obtain the teaching data of neural network. The learned neural network is numerically tested and can be easily implemented springback prediction for new cases.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Materials & Design - Volume 30, Issue 2, February 2009, Pages 418–423
نویسندگان
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