shor planet gear

基本解释短行星齿轮

网络释义

1)shor planet gear,短行星齿轮2)Short stroke,短行程3)shortcut,最短行程4)SSC,短行程控制5)short stroke control,短行程控制6)break line,未排满短行7)short trip eigenvalue,短行程特征值8)shon stroke extrusion press,短行程挤压机9)broken line,章节最后的短行10)short stroke engine,短行程发动机

用法和例句

Automatic control of loading system for "short stroke" 75 MN aluminum extrusion press;

75MN“短行程”铝挤压机上料部分的自动化控制

The mathematical models and genetic algorithms have been used to calculate the width variation at head and tail of the strip based on practical data and optimize the parameters of short stroke control for rough rolling.

从生产现场的实际情况出发 ,结合现场工艺和实际数据 ,利用数学模型对带钢端部的宽度变化进行了模拟计算 ,并进一步利用遗传算法对粗轧短行程控制进行全程优化。

Study of SSC for Strip Head and Tail Shape on Hot Strip Mill;

热轧带钢头尾形状短行程控制研究

The basic features of strip width control including automatic width control (AWC), progressive width control (PWC), short stroke control (SSC) of Baosteel 2050 mm rough rolling are analyzed in details.

分析了宝钢2050粗轧宽度控制的基本特点,从自动宽度控制、前馈宽度控制、短行程控制等方面对现有的西门子控制系统进行分析、研究,并参照实际系统建立了液压立辊压下装置的动力学模型以及粗轧基础自动化控制策略模型,并用实际生产数据,对数值仿真结果进行验证,结果表明仿真系统计算结果与实际生产结果基本吻合,为粗轧宽度控制系统的在线调定提供了有益的参考。

And the model of Short Stroke Control(SSC) was gived to control the shapes of head and tail,by comparing,the new model is effective for the width reduction of head and tail.

针对莱钢1500热连轧机组粗轧段立辊侧压调宽轧制的工艺特点,利用ANSYS/LS-DYNA建立了立辊-水平辊轧制的三维弹塑性有限元模型,研究了不同工况下的带钢轧后头尾端变形(失宽)规律,并据此建立了控制头尾端形状的短行程控制模型。

Study of short stroke control model of 2050 mm hot mill in Baosteel;

宝钢2050热轧短行程控制模型研究

Optimization of short stroke control for rough rolling on hot strip mill based on a new PSO;

基于改进PSO算法的热连轧粗轧短行程控制曲线优化

According to the characteristics of semi-endless rolling technology used in slab continuous casting and rolling line ,various measures of automatic width control in rough and finishing rolling were introduced and a new curve of short stroke control for rough rolling was particularly described.

针对薄板坯连铸连轧半无头轧制工艺的特点,简述了粗、精轧阶段的各种自动宽度控制和短行程控制的策略。

The result shows that it is quite feasible to compress a large number of short trip eigenvalues reflecting road traffic features into 3 or 4 principal components that represent over 80% of the original data with PCA.

研究表明 ,将众多反映道路交通特征的短行程特征值用主成分分析法压缩成代表原始数据 80 %以上信息的 3个或 4个主成分的方法是可行

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