Application of finite element method and artificial neural networks to predict the rolling force in hot rolling of Mg alloy plates

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Application of finite element method and artificial neural networks to predict the rolling force in hot rolling of Mg alloy plates

specific strength, high specific stiffness, and many other advantages (Mordike et al., 2001). With the increased consciousness of energy saving and environmental protection, Mg alloys are becoming widely recognized as the candidates to replace steel and aluminium alloys in many fields, such as in vehicles and the electronics industry. Mg alloys are thus becoming known as new ‘green’ engineering...

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Using Artificial Neural Networks to Predict Rolling Force and Real Exit Thickness of Steel Strips

There is a complicated relation between cold flat rolling parameters such as effective input parameters of cold rolling, output cold rolling force and exit thickness of strips. In many mathematical models, the effect of some cold rolling parameters has been ignored and the outputs have not a desirable accuracy. In the other hand, there is a special relation among input thickness of strips, the ...

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using artificial neural networks to predict rolling force and real exit thickness of steel strips

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ژورنال

عنوان ژورنال: Journal of the Southern African Institute of Mining and Metallurgy

سال: 2016

ISSN: 2411-9717

DOI: 10.17159/2411-9717/2016/v116n1a7