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首页> 外文期刊>Journal of manufacturing science and engineering: Transactions of the ASME >Application of Fuzzy Set Theory in the Scheduling of a Tandem Cold-Rolling Mill
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Application of Fuzzy Set Theory in the Scheduling of a Tandem Cold-Rolling Mill

机译:模糊集理论在冷连轧机调度中的应用

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In a tandem cold-rolling mill, a strip is successively reduced in gauge at each stand as it passes through the mill. The optimal scheduling of a tandem mill is an important but difficult task. In this work, a scheduling problem is considered as an optimization problem which minimizes the total specific power and satisfies certain constraints. Since the material properties and friction coefficient are not known precisely, they are treated as fuzzy numbers. The fuzzy set theory is applied to find out an optimum drafting pattern. The methodology is illustrated by means of a few examples. It is observed that the schedule in which the maximum reduction is achieved in the first pass results in minimum specific power; however, its reliability is poor. Optimization using fuzzy set theory provides a solution which meets the twin requirements of high reliability and minimum power.
机译:在串列式冷轧机中,当带钢穿过轧机时,带钢在每个机架上的规格依次减小。串联轧机的最佳调度是一项重要但艰巨的任务。在这项工作中,调度问题被认为是优化问题,它使总比功率最小并满足某些约束。由于材料特性和摩擦系数未知,因此将它们视为模糊数。应用模糊集理论来找出最佳的绘图模式。通过一些示例来说明该方法。可以看出,在第一遍中实现最大减少的时间表导致最小比功率;但是,其可靠性差。使用模糊集理论进行优化可提供一种满足高可靠性和最小功率双重要求的解决方案。

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