项目名称: 精密钛合金板材无张力冷轧关键质量模型研究
项目编号: No.51304017
项目类型: 青年科学基金项目
立项/批准年度: 2014
项目学科: 矿业工程
项目作者: 王晓晨
作者单位: 北京科技大学
项目金额: 25万元
中文摘要: 精密钛合金板材无张力冷轧生产规格灵活、道次数多、变形抗力大、轧制厚度薄,板厚、板形控制精度要求极高,而板材轧制不具备反馈控制条件,使其极为依赖过程控制系统的质量模型精度。为此,本课题针对精密钛合金板材无张力冷轧关键质量模型开展研究,主要内容包括:针对影响轧制力计算精度的本质原因变形抗力与摩擦系数,设计基于构造矛盾方程组的变形抗力参数自学习方法,并针对变形抗力与摩擦系数建立混合核函数支持向量机模型,形成解析模型与统计模型相结合的轧制力模型;针对板材无张力冷轧板形生成特点,建立基于显式-隐式两步法有限元的板形机理计算模型,并在此基础上建立基于板形调控功效向量的广义板形设定计算模型;适应轧制规范灵活制定的需要,建立基于轧制规范特征曲线的轧制规范计算模型,并设计以板形最优为目标的规范特征曲线优化计算方法。本课题具有重要的科学意义与应用价值,研究成果将对提高我国钛加工质量控制水平产生积极推动作用。
中文关键词: 钛合金;支持向量机;有限元分析;板形调控功效向量;轧制规范
英文摘要: For precise titanium alloy sheet cold rolling without tension, varied production specification, relatively more rolling passes,high deformation resistance and low thickness are representative characteristics. Moreover, the requirement of thickness and shape control precision is extremely strict. Whereas, the feedback control condition is absent, leading to high dependence of quality model precision of process control system. Therefore, the crucial quality models of precise titanium alloy sheet cold rolling without tension are researched in this subject, including: The proposal of deformation resistance parameters selflearning method, and the establishment of mixed kernel function support vector machine model for deformation resistance and friction factor to get the rolling force model composed of analytical model and statistical model, which is aimed to correct the main influence factors to rolling force calculation precision - deformation resistance and friction factor. The set up of shape mechanism model based on the combination of static and dynamic finite element methods for the shape generation characteristic of sheet cold rolling without tension, and the foundation of the generalized shape control model based on shape control efficiency vectors on the basis of mechanism model. The proposal of rolling sched
英文关键词: titanium alloy;support vector machine;finite element analysis;shape control efficiency vector;rolling schedule