穿孔效率的建模与优化  

Modeling and optimization for piercing efficiency

作　　者：肖冬[1] 潘孝礼[1,2] 毛志忠[1] 王福利[1] 

机构地区：[1]东北大学信息科学与工程学院,沈阳110004 [2]上海宝钢股份有限公司,上海201900

出　　处：《仪器仪表学报》2009年第1期86-90,共5页Chinese Journal of Scientific Instrument

基　　金：国家自然科学基金(60674063);辽宁省自然科学基金(20062024);教育部及辽宁省流程工业综合自动化重点实验室开发课题基金资助项目

摘　　要：对于无缝钢管穿孔生产,穿孔效率是衡量生产的一个重要指标。但由于其影响因素复杂难以建立机理模型,故难以实现对其模型的优化。本文根据穿孔生产工艺将穿孔过程分成三个部分,提出了基于均值子时段MPLS方法的穿孔效率预报模型。在间歇过程预报模型基础上,采用遗传算法对各段工艺参数的平均值进行寻优,得到最优的穿孔效率。仿真结果表明,基于穿孔效率预报模型的穿孔效率优化方法可有效取得最优工艺参数,为穿孔效率的提高提供依据。Tube hollow is produced by cross piercing, and piercing efficiency is an important yield index. Tube piercing is a complicated process of metal flow and influenced by many technical parameters, so it is difficult to build a mechanism model. A piercing efficiency model is proposed based on mean value stage MPLS method, which divides the piercing process into three parts. Based on the piercing efficiency model, the averages of the technical parameters are optimized using genetic algorithm, which makes the piercing efficiency optimum. Simulation results prove that the proposed method can be used on-line for the prediction and optimization of the piercing efficiency.

关 键 词：无缝钢管 穿孔效率 均值子时段MPLS 遗传算法 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置]