Load distribution optimization helpful to shape control of hot strip mills
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Abstract
The integrated control of gauge and shape in hot strip mills is important and difficult. Rolling force is the key factor of gauge control, also is one of the major factors of shape control. A strategy was introduced to optimize the load distribution helpful to shape control and the relative parameters were obtained by means of immune genetic algorithm. Experimental results show that the strategy is valid, which provides another way for the integrated control of gauge and shape and can be used to guide production in practice.
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