浅析冷轧辊的失效与维护

就宝钢冷轧薄板厂冷轧辊的使用状态介绍了冷轧辊的损耗类型,着重分析了冷轧辊产生剥落甚至爆辊的原因,同时提出了预防措施.     

冷轧产品边裂成因分析及控制

鉴于冷轧边裂情况比较复杂,主要从热轧温度制度、冷轧酸洗切边和冷轧负荷分配等方面进行了分析。结果表明：冷轧边裂产生的原因是热轧温度制度不稳定、冷轧酸洗切边不良以及冷轧轧制负荷分配不均。通过采取相应的预防、控制措施,取得了较好的效果。     

宝钢冷轧核心技术研发及与工程结合的历程

首先介绍了冷轧工序的特点,回顾了国内外冷轧技术的发展历程,将冷轧核心技术界定为稳定通板技术、表面控制技术和精密轧制技术三个方面;接着梳理了宝钢20年来冷轧技术研发的历程,对宝钢开展过的研发工作进行了概括;然后对近年来冷轧研发与工程的结合情况进行了系统的介绍,并以梅钢冷轧科研大项目为例进行了深入剖析;最后对今后冷轧技术研发的工作方向进行了展望.     

二次冷轧技术应用研究

厚度仅为0.08~0.18 mm极薄冷轧带钢广泛应用于电子、制罐等领域,其特点为规格薄、强度高,生产难度大。目前国内只有宝钢采用二次冷轧(DCR)技术进行生产。简要介绍了二次冷轧技术的特点和发展,概述了二次冷轧机组的基本功能和组成。针对宝钢冷轧薄板厂新建二次冷轧机组,对二次冷轧技术的应用方法和产品用途进行了详细的论述。     

二次冷轧技术应研究

厚度仅为0.08～0.18 mm极薄冷轧带钢广泛应用于电子、制罐等领域,其特点为规格薄、强度高,生产难度大.目前国内只有宝钢采用二次冷轧(DCR)技术进行生产.简要介绍了二次冷轧技术的特点和发展,概述了二次冷轧机组的基本功能和组成.针对宝钢冷轧薄板厂新建二次冷轧机组,对二次冷轧技术的应用方法和产品用途进行了详细的论述.     

Nb＋Ti—IF钢二次冷轧性能和织构特征

主要通过对铁素体区热轧板坯进行不同压下率的一次冷轧和二次冷轧试验,采用ODF对比一次冷轧观察了（100）,{111}和Goss面织构在二次冷轧过程中的演变。二次冷轧的织构特征是获得较高占有率的{111}织构和较低占气有率的{100}织构,二次冷轧在一次．冷轧的基础上加强了{111}〈112〉组分。通过TEM和力学性能测试分析了二次冷轧中压下率分配方式对织构演变和材料最终退火组织性能的影响,为IF钢二次冷轧工艺工业化生产提供理论依据。     

5％Cr冷轧辊多次调质处理研究

为探索将报废冷轧辊改制成小辊径冷轧辊的工艺可行性,研究了多次调质处理对5％Cr冷轧辊材料性能和组织的影响。试验结果表明,报废冷轧辊经过1次调质或2次调质处理后,组织和性能均达到了冷轧辊的使用要求,但调质处理不能超过2次。     

关于冷轧辊的使用与维护

介绍了冷轧生产中所用冷轧辊的两种主要消耗类型 ,着重分析了冷轧辊产生剥落和断辊的原因及预防措施     

冷轧废水处理新技术及深度处理回用研究

冷轧废水含污染物多,废水成分复杂,一直以来,冷轧废水都是钢铁企业水处理技术的重点和难点,随着催化氧化、MBR等新工艺的应用,冷轧废水得到了较好的处理,但冷轧废水处理的最终出路还是需进行深度处理回用。对冷轧废水处理的新技术进行了叙述,并在此基础上,对其深度处理回用进行了研究。     

宝钢2030冷轧含油废水处理新技术

冷轧废水处理是轧钢工艺中的难点之一.2030冷轧废水处理改造工程,首次将生物处理引入到冷轧废水工艺,并在工程中采用了无机陶瓷超滤技术和离心式脱水设备,从而实现了冷轧废水处理的国产化及国内技术总成.     

LF精炼自动控制技术发展与展望

LF精炼过程的规范化、自动化、智能化会提高精炼控制水平、提升钢产品的市场竞争力,也符合目前打造智能工厂、实现智能生产的发展趋势。概述了LF精炼自动控制技术的国内外发展状况,对国内外LF精炼自动吹氩、电极自动控制、温度预报、成分预报和控制、脱硫造渣、脱氧造渣的控制系统/模型及应用情况进行了梳理和分析,着重总结了上述技术的应用现状和优缺点;阐述了LF精炼过程实现自动控制的研究进展及发展趋势,展望了LF精炼自动化炼钢发展途径及前景,可为后续LF精炼过程实现自动化精准控制提供参考。     

Simulation of Automatic Canal Control Systems

Simulation models for unsteady open channel flows have been commercially available for more than 2 decades. Most of these models are now available for personal computers and can be used to study the control of irrigation canals. Studies on automatic control methods and algorithms have been performed on at least half a dozen of the available unsteady-flow simulation models. Although, many of these automation studies have been conducted by the institution that created the simulation model, these simulation models were not created with automatic gate control in mind, and thus one has to be intimately familiar with the source code in order to implement sophisticated control features. Three commercially available unsteady-flow simulation software packages that allow automatic control of gates based on algorithms written by users are: CanalCAD from the Univ. of Iowa, Hydraulics Lab; Mike 11 version 3.2 from the Danish Hydraulic Institute; and Sobek from Delft Hydraulics. In this paper, we describe the various features of these unsteady-flow simulation packages and how they interface to control engineering software/code. There are a number of tradeoffs between simplicity and functionality. All these models present difficulties and have limitations. The hope is to provide guidance on the next generation of unsteady-flow canal simulation models so that control functions can be routinely applied.     

热轧带钢粗轧宽度自动控制模型解析工具的开发

为了提高热连轧粗轧机组的宽度控制精度，利用轧钢现场足够多的实际数据，通过线性回归和统计回归的方法，对粗轧宽度自动控制模型的系数进行优化。结合实际的科研课题，开发了宽度控制模型解析工具。     

Evolutionary Multivariate Dynamic Process Model Induction for a Biological Nutrient Removal Process

This paper proposes an automatic process model induction system using an evolutionary computational intelligence, called grammar-based genetic programming, that is specially designed to automatically discover multivariate dynamic process models that best fit observed process data. This automatic process model induction system combines an evolutionary self-organizing system of genetic programming paradigm with various mathematical functions for a multivariate nonlinear model evolution using a grammar system via the mechanism of genetics and natural selection. The results demonstrate how the automatic process model induction system based on grammar-based genetic programming can be used to develop accurate and relatively cost-effective multivariate dynamic process models for the full-scale biological nutrient removal process. Multivariate dynamic process models are derived automatically in the form of understandable mathematical formulas that enable engineers to extract important knowledge hidden in the data and develop better operation and control strategies.     

四辊单机架冷轧厚度控制系统

本文介绍从国外引进的１６００ｍｍ四辊单机架铝板带材冷轧机厚度控制系统。文中详细地叙述该轧机所用厚控数学模型、系统所具各种控制功能及其实现方法，最后就几种厚控功能对板带材轧制的效果进行了分析。     

中厚板控轧模型中待温时间的算法分析

数学模型是轧钢过程进行自动控制的基础,引进的自动控制生产线包含许多先进的数学模型,结合实际的物理过程对程序中数学模型的算法进行分析是消化吸收引进技术的一种方法。本文通过对轧件待温时传热现象的研究,对现有轧钢模型中待温时间的算法进行了分析。     

棒材轧后控冷温度预测模型的研究及应用

针对莱芜钢铁股份有限公司棒材厂棒材轧后控冷控制过程中存在的控制精度差、动态跟随不易控制等问题进行分析并提出解决方法,从理论上详细介绍了棒材轧后控冷过程中开冷温度预报模型的建立及其自学习。通过预报结果和实际应用效果的对比,证明数学模型是有效的,能够比较精确地实现钢材自回火温度控制,可以满足对棒材轧后控冷生产工艺的要求。     

焦炉炼焦加热过程控制最优化系统综述

介绍了世界各国在焦炉上的加热控制系统的控制特点、基本功能、应用效果,加热过程参数检测及加热模型,指出采用前馈、反馈结合方案自动化程度高,节能显著。     

Control systems for objects with positive internal feedback

The control of objects with positive internal feedback is considered. A classification of such objects is proposed: feedback in terms of the concentration, feedback in terms of the mass, feedback in terms of the parameters, and hybrid feedback. For the first three classes, the structures of the automatic control systems are presented, and the influence of indeterminacies in the models on the operational efficiency is analyzed. For objects with positive internal feedback in terms of the concentration, the automatic control systems are analyzed for objects with and without self-regulation in the direct chain. For objects with feedback in terms of the mass and feedback in terms of the parameters, the automatic control system is analyzed for objects without self-regulation in the direct chain. Numerical estimates are obtained for the efficiency as a function of the ratio of the parameters (the gain and the time constant) in the model of the object and the object of control for all cases.     

Conceptualizing Control in Social Cognition: How Executive Functioning Modulates the Expression of Automatic Stereotyping.

Two studies investigated the role of executive control in moderating the relationship between automatic stereotype activation and behavioral responses. Race bias in weapon identification was used to measure stereotyping, and a process dissociation procedure was used to measure automatic and controlled components of performance. In Experiment 1, the controlled component was shown to correlate with general attention control and race-specific motivations to control prejudice. Across multiple measures, automatic race bias was more likely to be expressed as behavioral discrimination among individuals with poor executive control. Experiment 2 found the same relationship between automatic and controlled components of behavior when predicting impressions of a Black individual. Executive control is discussed in the context of other control strategies in influential dual-process models of stereotyping. (PsycINFO Database Record (c) 2010 APA, all rights reserved)