材料期刊网

基于中厚板的轧制特点，提出了基于灰色关联度的道次修正算法。通过灰色关联度模型计算出最近生产的n块钢板所有道次以及当前正在轧制钢板前m道次与当前轧制道次轧制力自学习系数的关联度，根据关联度的高低来确定当前道次和后续道次的自学习系数，并通过道次修正对后续辊缝进行二次调整，以获取精确的目标出口厚度。实际应用结果表明，产品的目标出口厚度的命中率有了大幅度的提高，具有很高的现场应用价值。

Based on the feature of plate rolling process, pass correction based on gray relational grade is put into forward. Relational grade of rolling force self-learning coefficient which is obtain from all passes of recent n pieces and m passes before current pass of slab in stand is calculated by gray relational grade model, and force self-learning coefficient of current and succeeding passes is conformed by all those relational grad, then succeeding gaps starts to adjust by pass correction so as to obtain accurate target thickness. Actual application result shows that hit rate of target thickness of product increases greatly, so it has high field application value.