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Article
A novel intelligent method for slab front-end bending control in hot rolling
A novel intelligent control strategy based on machine learning (ML) and an optimal feed-forward control method are proposed to realize the high-precision prediction and precise control of slab front-end bendin...
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Article
Application of the gradient boosting decision tree in the online prediction of rolling force in hot rolling
The prediction accuracy of the rolling force is crucial for the strip hot rolling process, which will significantly affect the dimensional control accuracy of the strip product. The rolling force prediction mo...
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Article
Rolling force prediction in cold rolling process based on combined method of T-S fuzzy neural network and analytical model
In the cold rolling process, inaccurate rolling force settings and the resulting strip thickness fluctuations and other quality problems occur, reducing the yield and product quality. To improve the accuracy o...
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Article
Application of machine learning to predict and diagnose for hot-rolled strip crown
Based on the complex characteristics of nonlinearity, strong coupling, and multi-disturbance, it is challenging to develop accurate mathematical models for strip rolling systems which are limited by the degree...
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Article
Coordinate control of strip thickness-crown-tension based on inverse linear quadratic in tandem hot rolling mill
In order to further improve the control accuracy of thickness, crown and tension in hot strip finishing mill, a multivariable optimizing strategy based on inverse linear quadratic (ILQ) control theory is propo...
