含硅量

主要研究了Zn-Al-Si合金中含硅量对合金的耐磨性、强度的影响，并讨论了配偶件（盘）硬度及施加于耐磨试样（销）上的载荷对Zn-Al-Si合金磨损的影响。

The paper deals with the investigation for the effect of Si content , the contact stress at the surface of sample ( pin ) and the hardness of counter part ( disc ) on the wear rate of Zn-Al-Si alloys .

含硅量和冷却速度对中铬铸铁碳化物的影响

Effects of Si Content and Cooling Rate on the Carbide in Medium Chromium Cast Iron

运用力学性能测试、金相显微镜、扫描电镜研究了稀土在含硅量约为22%的过共晶Al-Si合金中的合金化作用。结果表明，稀土可作为合金元素替代昂贵金属Ni；

The alloying effect of rare earth on hypereutectic Al-Si alloys containing about 22 % silicon is investigated by mechanical testing , metallographic microscopy and scanning electron microscopy .

考虑到偏最小二乘法（PLS）在处理多重共线性数据中的优势，利用PLS对高炉铁水含硅量进行预测。

Considering the advantages of partial least square ( PLS ) in dealing with collinear data , it is used to predict silicon content .

利用喷射沉积成形技术制备了Si-Al（含硅量50～70wt%）合金。

In this study , Si-Al ( 50 ~ 70wt % Si ) alloys were fabricated by spray forming .

本文按照现代控制理论，把高炉视为多输入&单输出系统，利用人工神经网络方法，结合高炉生产实际建立了石钢高炉铁水含硅量BP神经网络模型。

According to modern control theory , blast furnace was regarded as a multiple input single output system . Combined with the production experience , the BP neural networks were used to predict the content of Si in blast-furnace hot iron .

基于WA-SVM模型的高炉铁水含硅量预测

Application of WA-SVM Combined Model to Predict Silicon Content in Hot Metal

通过建立数学模型：基础参数在线收集计算、物料平衡和热平衡计算、炉热指数线性回归计算，以每四批料（约30min）预报一次铁水含硅量和铁水温度。

Building mathematical model , collecting and calculating on-line base parameters , calculating materials and heat balances , linear regressing the hearth thermal parameters were carried out to predict the hot metal silicon content and temperature every four batches about 30 minutes .

利用六西格玛管理提供的工具，对铸管公司1350m3高炉的生铁含硅量进行了系统分析，找出了影响生铁含硅量的根本原因是煤比、料批、炉顶压力、焦炭灰分及料制。

350 m3 blast furnace is analyzed systemically by using six sigma management tools . The essential reasons of influencing pig iron silica content are found out . They are coal ratio , material charge , furnace top pressure , coke ash and charging system .

铁水含硅量对铁钢系统的影响

The Influence of The Silicon Content of Molten Iron on System

高炉铁水含硅量预报自适应数学模型的研制与试验

Development of self-adaptive mathematical model for predicting silicon content in molten iron

高炉铁水含硅量的分形结构分析

The fractal structure of silicon content in molten iron in blast furnace

预测铁水温度和铁水含硅量的模糊控制

Fuzzy Control on Forecasting of the Temperature And SI Content of Molten Iron

高炉铁水含硅量预测的计算机在线实现

On-ine Realization of Predicting Hot Metal Silicon by Computer

高炉铁水含硅量的混沌局部线性预测

Chaotic local-region linear prediction of silicon content in hot metal of blast furnace

模拟退火免疫算法及其在铁水含硅量预报中的应用

A simulated-annealing-based immune algorithm for predicting silicon content of blast furnace hot metal

铁水含硅量预报与控制模型的研究

Study of the predicting and controlling model for silicon content of hot metal

操作制度对邢钢2高炉铁水含硅量的影响

Influence of Operating Parameters on Hot Metal Silicon Content of Xing steel BF

降低热轧带肋钢筋含硅量试验

Experiment of decreasing silicon content of hot-rolled ribbed bar

铁水含硅量实时预报专家系统的设计与实现

The Design and Implementation Procedure of an Expert System in Real-time Silicon Content Prediction

模糊贝叶斯网络应用于预测高炉铁水含硅量变化趋势

Application of fuzzy Bayesian network to trend prediction of silicon content in molten iron

高炉炉温与铁水含硅量工程推算法及应用

Engineering Calculation for BF Temperature and Si Content in Hot Metal and Its Application

铝合金含硅量的测定方法

Measurement of silicon contents in aluminum alloy

高炉铁水含硅量的分形插值两步预测

A two-step prediction of silicon content in hot metal of BF using fractal interpolation function

介绍热轧带肋钢筋降低含硅量试验情况，对试验前后的铸坯质量和钢材性能指标进行了对比。

This paper introduces the experiment of decreasing silicon content of hot-rolled ribbed bar at Anyang Steel .

基于多分辨分析的高炉铁水含硅量波动多重分形辨识

Multi-fractal identification of the fluctuation of silicon content in blast furnace hot metal based on multi-resolution analysis

高含硅量高盐地下水处理工艺

Treatment of Groundwater Containing

以高炉铁水含硅量预测为例进行了在线检验。

The prediction for the silicon content in hot metal has been tested on line in a blast furnace .

而增加含硅量后的低铬白口铸铁的腐蚀磨损耐磨性将比普通白口铸铁的高。

The corrosion wear resistance of low chromium white cast iron increases when the silicon content increases in it .

RE在800℃左右对含硅量为20%的铝硅合金进行变质处理，可获得颗粒状或短杆状的共晶硅。

After the modification with RE at temperature around 800 C , we have got granular and stubby eutectic silicon .