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1)  cold rolled strip
冷轧钢带
2)  cold-rolled steel strip
冷轧钢带
3)  Cold Rolled Steel Strip
冷轧钢带
1.
The requirement of the actual function and selection of 40Mn steel strip material are introduced,the rational process is established based on the need of material,cold rolled steel strip for 40Mn heel tube is developed.
介绍了40Mn钢带材料的选择和使用性能要求,针对该材料的要求制定了合理的工艺,开发成功了40Mn鞋跟管专用冷轧钢带
4)  Cold Rolling Strip
冷轧钢带
1.
This text do some analysis for cavity on cold rolling strip in macroscopic and microcosmic character.
冷轧钢带轧制孔洞缺陷宏观及微观特征进行了分析,认为孔洞是由于基板中存在着聚集状夹杂缺陷导致基板不能连续变形所致,因此,要杜绝冷轧板中夹杂类孔洞缺陷还需从控制连铸浇注环节着手。
5)  cold rolling strip
冷轧带钢
1.
In order to solve the problem of cold rolling strip surface wrinkles on the uncoiler,the stress distribution of a cold rolling strip on the uncoiler and its influencing factors were investigated by finite element method.
冷轧带钢钢卷在平整机上开卷时,带钢表面有时会出现横折印缺陷。
2.
In order to further raise the cold rolling strip production efficiency and shorten annealing treatment time,the author analyzes the annealing process of hood type furnace and takes measures to optimize the annealing time,excess coefficient K and process atmosphere.
为了进一步提高冷轧带钢产量,缩短退火时间,对罩式退火炉的退火工艺进行了分析,采取措施对退火时间、过剩系数K及过程气氛进行优化。
6)  cold rolled strip steel
冷轧带钢
1.
Study of the surface cleanness of cold rolled strip steel;
冷轧带钢表面清洁度的研究
2.
The surface quality evaluation of cold rolled strip steel is a complex problem involving many influencing factors among which many different causes of formation of surface defects are possible and the amount,level,position and distribution of surface defects affect differently the surface quality.
冷轧带钢表面质量评价是一个与多种影响因素相关的十分复杂的问题,其中表面缺陷种类繁多,其成因复杂,与之相关的数量、等级、位置、分布特性等不同程度地影响着表面质量。
3.
By adopting the method of BP neural network,the mechanical property for SPCC cold rolled strip steel products has been predicted,and based on the data obtained from orthogonal experiments of chemical composition(C,Si,Mn,P,S,Al) and process parameter(annealing temperature and rolling speed),the prediction value for the network has been obtained by means of the off-line studying method as well.
利用BP神经网络的方法预测SPCC冷轧带钢产品力学性能并以现场得到的化学成分(C、Si、Mn、P、S、Al)和工艺参数(退火温度、轧制速度)正交试验数据为基础,采用离线学习的方法得出网络的预报值。
补充资料:冷轧钢

coldrolledsteel:在冷态(即未经加热的状态)下轧制出来的钢。

说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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