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The thermal physical properties of water will be changing in the process of heat transfer. A mathematical model of flow water cooling is established by the heat transfer theory and the similarity criterion. The heat transfer medium parameters are predicted by the neural network and the system temperature difference will be considered. It implemented network training and testing through the programming...
A rolling mill process control system calculates the setup for the mill's actuators based on models of the technological process. Neural networks are applied as components of hybrid neuro/analytical process models. They are the key to fit the general physical models to the needs of the automation of a specific mill. Present applications include the calculation of the rolling force and strip temperature...
This paper presents a real-world application of neural networks. This application considers the estimation of the convection heat transfer coefficient of a run-out cooling table in a steel-making process. Firstly, data of several runs were collected considering the cooling table variables and the reached temperatures. Afterwards, using numerical models and optimization, the equivalent heat transfer...
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