Artificial Neural Network Modeling the Tensile Strength of Hot Strip Mill Products
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概要
- 論文の詳細を見る
In this study, the effects of chemical composition and process parameters on the tensile strength of hot strip mill products were modeled by Artificial Neural Network (ANN). A good performance of network was achieved when compared with the experimental data taken from Mobarakeh Steel Company (MSC). Moreover, the relative importance of each input variable was evaluated by sensitivity analysis. The results are evaluated based on metallurgical phenomena of steels. Therefore, it is proposed that, this model can be employed as a guide to predict the final mechanical properties of commercial low carbon steel products.
- 社団法人 日本鉄鋼協会の論文
- 2009-10-15
著者
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TOROGHINEJAD Mohammad
Department of Materials Engineering, Isfahan University of Technology
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Abbasi Shahram
Department Of Materials Engineering Isfahan University Of Technology
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ESFAHANI Mohsen
Department of Materials Engineering, Isfahan University of Technology
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Esfahani Mohsen
Department Of Materials Engineering Isfahan University Of Technology
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Toroghinejad Mohammad
Department Of Materials Engineering Isfahan University Of Technology
関連論文
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- Artificial Neural Network Modeling the Tensile Strength of Hot Strip Mill Products
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