钢铁是这样炼成的 记太钢冷轧钢工状元牛国栋

作为集铁矿山采掘和钢铁生产、加工、配送、贸易为一体的特大型钢铁联合企业,太原钢铁(集团)有限公司是目前全球最大、工艺技术装备水平最高、品种规格最全的不锈钢企业。拥有年产300万吨不锈钢的超强能力,太钢的实力可见一斑。如果把300万吨分摊到每个班组身上,恐怕是微不足道的。

酒钢中板轧钢工程开工

酒泉钢铁公司是我省冶金行业的骨干企业,也是西北钢铁工业的重要组成部分。“八五”期间,在国家和省上的大力支持下,酒钢人发扬“铁山精神”,始终坚持“改革与管理并重、生产与建设并举”的方针,狠抓技术改造和产品结构调整,现已形成以钢铁产品为主,以焦化产品、钢铁产品深加工、建筑安装、建材业及第三产业为补充的多元化经营格局,成为酒钢历史上发展最快的时期。在迎接“九五”和即将跨入下个世纪的关键时刻。

冶金行业岗位培训专业课程教学模式探讨

以轧钢工岗位培训为例,基于钢铁冶金与压力加工生产仿真虚拟实训平台,开展冶金和压力加工类专业对应工种的理论与实践一体化教学研究与应用。从可行性分析、理实一体化设计的思路与方法,以及实施中应注意的教材处理、授课方法及教学过程设计、教学文件准备等方面进行探讨,以达到提高培训教学效果的目的。

邓小平的法兰西岁月

1904年8月22日(农历七月十二日),邓小平出生在广安县协兴乡牌坊村。5岁进私塾发蒙,后转入新式小学。高小毕业后,考入广安县中学。1919年秋考入重庆勤工俭学预备学校。受五四运动的影响,这时他有了朴素的"工业救国"的爱国思想,他同全校同学一起参加抵制日货、声讨卖国贼的活动。1920年夏,赴法国勤工俭学。值得说明的是,邓小平的出国留洋,是他的父亲给选择的,并且极力主张,其母亲倒是恋恋不舍。父亲的选择当时并非是让儿子走上职业革命家的道路,连邓小平当时自己头脑中想的,也只是想外出学点本事,而没想到一去就再没有回来。职业革命家的道路是邓小平自己选定的,一经选定就再也没有动摇过。但是,选择这条道路也并非是轻而易举。邓小平曾经告诉自己的女儿,在当年赴法勤工俭学的学生中,"我是那一批八十几个人里面最小的,连发言权都没有。"

带班就要带出过硬的队伍来

我是硅钢片厂轧钢车间ZR1丙班班长。我们班以团结奋斗、善打硬仗、技术过硬而闻名全厂。1992年至1995年连续四年荣获公司特等红旗班组光荣称号,7次荣立集体三等功,上级领导评价我们ZR1丙班不仅出产量,而且是"培养优秀轧钢工的摇篮"。轧机目前八个班,就有五个班的班长是从我班输送出去的。回顾多年的带班经验,我是努力从这三个方面去做的:一、过硬的思想作风靠言传身教带出来面对先进的一米七轧机设备,光靠蛮干是不行的,必须狠抓班组管理,向管理要产量,向管理要效益。在轧机8个班组里,我班的平均年龄最小,平均技术等级最低,但我班的产量和质量却总在车间名列前茅,个中原因就是狠抓人员管理。我作为一班之长,深知要带好一班人,班长就得处处起表率作用,

Industrial shape detecting system of cold rolling strip

A high-precision shape detecting system of cold rolling strip is developed to meet industrial application, which mainly consists of the shape detecting roller, the collecting ring, the digital signal processing （DSP） shape signal processing board and the shape control model. Based on the shape detecting principle, the shape detecting roller is designed with a new integral structure for improving the precision of shape detecting and avoiding scratching strip surface. Based on the DSP technology, the DSP shape signal processing circuit board is designed and embedded in the shape detecting system for the reliability and stability of shape signal processing. The shape detecting system was successfully used in Angang 1 250 mm HC 6-high reversible cold rolling mill. The precision of shape detecting is 0.2 I and the shape deviation is controlled within 6 1 after the close loop shape control is input.

Microstructure ＆ texture evolution and magnetic properties of high magnetic-induction 6.5% Si electrical steel thin sheet fabricated by a specially designed rolling route

Electrical steel sheets with 6.5%(mas fraction) Si with good shapes and superior magnetic inductions were successfully produced by a specially designed processing route including ingot casting, hot rolling and warm rolling both with interpass thermal treatment, and final annealing. The sheets were of 0.2 mm and 0.3 mm thick over 140 mm width. A detailed study of the microstructural and textural evolutions from the hot rolling to annealing was carried out by optical microscopy, X-ray diffraction and electron backscattered diffraction. The hot rolled sheet characterized by near-equiaxed grains was dominated by the mixture of <001>//ND fiber(λ-fiber), <110>//RD fiber(α-fiber) and <111>//ND fiber(γ-fiber) textures owing to the partial recrystallization and strain induced boundary migration(SIBM) during the hot rolling interpass thermal treatment. The static recovery and SIBM during the warm rolling interpass thermal treatment result in large and elongated warm rolling grains. The warm rolling texture is dominated by obvious λ, Goss and strong γ-fiber textures. The application of the interpass thermal treatment during hot and warm rolling significantly enhances the impact of SIBM during annealing, which is responsible for the formation of the moderate λ-fiber, some near-λ fiber texture components and the obviously weakened γ-fiber texture in the annealed sheet, leading to a higher magnetic induction compared to the commercially produced 6.5% Si steel by chemical vapor deposition(CVD).

Artificial neural network prediction of mechanical properties of hot rolled low carbon steel strip

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.

Advanced run-out table cooling technology based on ultra fast cooling and laminar cooling in hot strip mill

In order to meet the severe requirements of market and reduce production costs of high quality steels,advanced run-out table cooling based on ultra fast cooling(UFC) and laminar cooling(LC) was proposed and applied to industrial production.Cooling mechanism of UFC and LC was introduced first,and then the control system and control models were described.By using UFC and LC,low-cost Q345B strips had been produced in a large scale,and industrial trials of producing low-cost dual phase strips were completed successfully.Application results show that the ultra fast cooling is uniform along the strip width and length,and does not affect the flatness of strips.The run-out table cooling system runs stably with a high precision,and makes it possible for the user to develop more high quality steels with low costs.