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现代轧钢技术轧机扭振的非线性研究
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作者 杜勇 吴晓铃 《黄河水利职业技术学院学报》 2011年第4期34-37,共4页
为了提高轧钢性能,根据中厚板轧机的实际参数,建立了轧机主传动系统的2自由度非线性扭振模型,运用近似解析法,求出了系统共振区的一阶近似解及频率响应方程。采用Matlab软件,对系统进行仿真计算,根据得到的幅频响应曲线,分析了非线性因... 为了提高轧钢性能,根据中厚板轧机的实际参数,建立了轧机主传动系统的2自由度非线性扭振模型,运用近似解析法,求出了系统共振区的一阶近似解及频率响应方程。采用Matlab软件,对系统进行仿真计算,根据得到的幅频响应曲线,分析了非线性因素对系统稳定性影响的规律。 展开更多
关键词 钢技术 轧机性能 非线性变化 扭振性能 稳定性分析
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白铜B19薄板生产工艺初探 被引量:2
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作者 马得江 《铜业工程》 CAS 2016年第6期22-28,共7页
通过长期的生产实践摸索,采用带式法成功研发出了白铜B19薄板产品,优化了白铜B19薄板生产工艺,掌握了其冷热加工性能。试制结果表明,从轧制过程来看,B19类似于可塑性较好的紫铜,但区别于紫铜的是其硬化速率较快,导热系数低,对炉子控制... 通过长期的生产实践摸索,采用带式法成功研发出了白铜B19薄板产品,优化了白铜B19薄板生产工艺,掌握了其冷热加工性能。试制结果表明,从轧制过程来看,B19类似于可塑性较好的紫铜,但区别于紫铜的是其硬化速率较快,导热系数低,对炉子控制性能与轧机控制性能进行比较,炉子控制性能稳定、工艺合理,且摸索出了消除内应力退火工艺。 展开更多
关键词 白铜B19薄板 控制性能 炉子控制性能 硬化速率 导热系数 消除内应力退火
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Effect of cooling ways on properties of Al/Pb-0.2%Ag rolled alloy for zinc electrowinning 被引量:6
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作者 Xiang-yang ZHOU Shuai WANG +4 位作者 Juan YANG Zhong-cheng GUO Jian YANG Chi-yuan MA Bu-ming CHEN 《Transactions of Nonferrous Metals Society of China》 SCIE EI CAS CSCD 2017年第9期2096-2103,共8页
In order to study the new anode materials for zinc electrowinning,Al/Pb?0.2%Ag rolled alloy was produced by composite casting and hot rolling.Then the effect of cooling ways on properties of Al/Pb?0.2%Ag rolled alloy ... In order to study the new anode materials for zinc electrowinning,Al/Pb?0.2%Ag rolled alloy was produced by composite casting and hot rolling.Then the effect of cooling ways on properties of Al/Pb?0.2%Ag rolled alloy was investigated.As the results of metallographic test indicated,with the increasing of cooling intensity,both Vickers hardness and yield strength of Al/Pb?0.2%Ag rolled alloy increase.Furthermore,the Al/Pb?0.2%Ag rolled alloy,cooled by ice salt,presents the finest grain size and shows the lowest oxygen evolution potential(1.5902V),while that of alloy cooled by water and air are1.6143V and1.6288V,respectively.However,the corrosion current density and corrosion rate of the Al/Pb?0.2%Ag rolled alloy,cooled by ice salt,are the highest.This can be attributed to its largest specific surface area,which promotes the contact between the anode and electrolyte. 展开更多
关键词 Al/Pb-0.2%Ag rolled alloy cooling way electrocatalytic activity electrochemical property corrosion resistance zinc electrowinning
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Microstructure and Mechanical Properties of X80 HTP Pipeline Steel Produced by Steckel Mill 被引量:2
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作者 Jiang Haitao Qiao Mingliang +1 位作者 Huang Yixin Yin Yuqun 《Engineering Sciences》 EI 2008年第1期78-82,共5页
The demand for energy becomes a bottleneck in development of China. Economically delivering natural gas and oil through pipeline is an urgent problem to be solved. In the present work, X80 pipeline steel with high tou... The demand for energy becomes a bottleneck in development of China. Economically delivering natural gas and oil through pipeline is an urgent problem to be solved. In the present work, X80 pipeline steel with high toughness and thickness 21.0 mm was produced through HTP ( High Temperature Processing) by Steckel mill rolling. And the microstructure and mechanical properties of the X80 pipeline steel, which produced by different processing parameters such as reheating temperature of slabs, resume temperature, finishing temperature, accelerated cooling exit temperature and cooling rate, were analyzed. The results show that finishing temperature of 800 - 820℃ and cooling rate above 20℃/s are necessary to obtain fine and uniform acicular ferrite with high solute niobium in XS0 pipeline steel. 展开更多
关键词 pipeline steel HTP Steckel mill STRENGTH TOUGHNESS
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Research on Lubrication Behaviors and Mechanism of Nano-Copper Used in Emulsions for Strip Cold Rolling 被引量:3
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作者 Wang Yizhu Dai Enqi +2 位作者 Zhuang Xiaohua Sun Jianlin Wang Bing 《China Petroleum Processing & Petrochemical Technology》 SCIE CAS 2012年第1期61-67,共7页
In this paper,nano-Cu particles with an average size of smaller than 20 nm were dispersed under ultrasonic agitation in emulsions for cold rolling of steel strips.The tribological properties of the cold rolling emulsi... In this paper,nano-Cu particles with an average size of smaller than 20 nm were dispersed under ultrasonic agitation in emulsions for cold rolling of steel strips.The tribological properties of the cold rolling emulsion doped with nano-Cu particles were evaluated by using a four-ball machine,and the worn surfaces of the steel balls were checked by an optical microscope.A JC2000C1 wetting angle tester was also applied to study the variation in the emulsion's wetting performance when nano-Cu particles were incorporated.Furthermore,the lubricity of the emulsion doped with nano-Cu for steel strip cold rolling was evaluated on a four-high rolling mill for comparison with the emulsion without using nano-Cu particles.Test results indicated that nano-Cu particles as the additive used in cold rolling emulsion were able to improve the wetting property,friction-reducing,anti-wear,and extreme pressure performance of the base stock significantly.At the same time,nano-Cu particles also showed good lubricity to the cold-rolled steel strips.Namely,the cold-rolled steel strips under the lubrication of the cold rolling emulsion containing nano-Cu particles had considerably decreased the after-rolling thickness and achieved excellent surface quality as well.Finally,the lubrication mechanism of nano-Cu particles in the emulsion for cold rolling of steel strips was discussed. 展开更多
关键词 cold rolling STRIP EMULSION nano-Cu
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Artificial neural network prediction of mechanical properties of hot rolled low carbon steel strip 被引量:1
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作者 Niu Jianqing Li Hualong 《Engineering Sciences》 EI 2013年第6期8-12,共5页
Conventionally, direct tensile tests are employed to measure mechanical properties of industrially pro- duced products. In mass production, the cost of sampling and labor is high, which leads to an increase of total p... Conventionally, direct tensile tests are employed to measure mechanical properties of industrially pro- duced products. In mass production, the cost of sampling and labor is high, which leads to an increase of total pro- duction cost and a decrease of production efficiency. The main purpose of this paper is to develop an intelligent pro- gram based on artificial neural network (ANN) to predict the mechanical properties of a commercial grade hot rolled low carbon steel strip, SPHC. A neural network model was developed by using 7 x 5 x 1 back-propagation (BP) neural network structure to determine the multiple relationships among chemical composition, product pro- cess and mechanical properties. Industrial on-line application of the model indicated that prediction results were in good agreement with measured values. It showed that 99.2 % of the products' tensile strength was accurately pre- dicted within an error margin of ~ 10 %, compared to measured values. Based on the model, the effects of chemical composition and hot rolling process on mechanical properties were derived and the relative importance of each in- put parameter was evaluated by sensitivity analysis. All the results demonstrate that the developed ANN models are capable of accurate predictions under real-time industrial conditions. The developed model can be used to sub- stitute mechanical property measurement and therefore reduce cost of production. It can also be used to control and optimize mechanical properties of the investigated steel. 展开更多
关键词 ANN mechanical property prediction hot rolling low carbon steel
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