✦ LIBER ✦

Modeling of Resistance Spot Welding Process Using Nonlinear Regression Analysis and Neural Network Approach on Galvanized Steel Sheet

✍ Scribed by Luo, Yi; Li, Chun Tian; Xu, Hui Bin

Book ID: 124078518
Publisher: Trans Tech Publications, Ltd.
Year: 2011
Tongue: English
Weight: 323 KB
Volume: 291-294
Category: Article
ISSN: 1662-8958
DOI: 10.4028/www.scientific.net/AMR.291-294.823

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Analysis of the effects of processing pa

Analysis of the effects of processing parameters on mechanical properties and formability of cold rolled low carbon steel sheets using neural networks

✍ H. Monajati; D. Asefi; A. Parsapour; Sh. Abbasi 📂 Article 📅 2010 🏛 Elsevier Science 🌐 English ⚖ 946 KB

Analysis of the effects of processing pa

Analysis of the effects of processing parameters on mechanical properties and formability of cold rolled low carbon steel sheets using neural networks

✍ H. Monajati; D. Asefi; A. Parsapour; Sh. Abbasi 📂 Article 📅 2010 🏛 Elsevier Science 🌐 English ⚖ 946 KB

In the present study, an artificial neural network (ANN) is used to describe the effects of processing parameters on the evolution of mechanical properties and formability of deep drawing quality (DDQ) steel sheets. This model is a feed forward back-propagation neural network (BPNN) with a set of 19