کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
798728 1466766 2008 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Prediction of bead geometry in pulsed GMA welding using back propagation neural network
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی صنعتی و تولید
پیش نمایش صفحه اول مقاله
Prediction of bead geometry in pulsed GMA welding using back propagation neural network
چکیده انگلیسی

This paper presents the development of a back propagation neural network model for the prediction of weld bead geometry in pulsed gas metal arc welding process. The model is based on experimental data. The thickness of the plate, pulse frequency, wire feed rate, wire feed rate/travel speed ratio, and peak current have been considered as the input parameters and the bead penetration depth and the convexity index of the bead as output parameters to develop the model. The developed model is then compared with experimental results and it is found that the results obtained from neural network model are accurate in predicting the weld bead geometry.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Materials Processing Technology - Volume 200, Issues 1–3, 8 May 2008, Pages 300–305
نویسندگان
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