研磨对Al（OH）3及Al2O3物化性能的影响

阐述研磨过程中β－Ａｌ（ＯＨ）３的物相转变及研磨对α－Ａｌ２Ｏ３某些性质的影响，研磨技术对颗粒的粒度分布有重要影响。     

Preparation of Al（OH）3 by ion membrane electrolysis and precipitation of sodium aluminate solution with seeds

The preparation of AI（OH）3 by the ion exchange membrane electrolysis followed by the precipitation of sodium aluminate solution with seeds was made. During the process of ion membrane electrolysis, the sodium aluminate solution is rapidly acidified and the caustic ratio （αK） is decreased due to oxygen evolution in the anodic region. And the causticity of solution is increased due to hydrogen evolution in the cathode region, producing the high concentration of caustic soda solution. Regulating the acidity of the anodic solution by controlling the electric quantity in the electrolysis and subsequent decomposing the solution, AI（OH）3 could yield with very large rate and high efficiency. The experiments also indicate that the quality of aluminum hydroxide product is greatly affected by the impurity silicon.     

Bond population analysis on combination of favorable growth unit of Al（OH）3 crystals

1 Introduction It is well known that there are many technical puzzles on how to enhance the strength of alumina in the domestic production of alumina. From the actual research it has been indicated that the strength of alumina is mainly related to the str…     

Effects of combination modes of favorable growth unit of Al（OH）3 crystals precipitating on Van der Waals and chemical bond force

The dipole moment, total energy, atomic charge, orbital population and orbital energy of four representative combination models of the favorable growth unit Al6（OH）18 （H2O）6 of Al（OH）3 crystals precipitating are calculated by ab initio at RHF/STO-3G, RHF/3-21G, RHF/6-31G levels and DFT at RB3LYP/STO-3G, RB3LYP/ 3-21G, RB3LYP/6-31G levels with Dipole ＆ Sphere solvent model. The effect of various combination models on Van der Waals force is analyzed using dipole moment and molecular radius, and that on chemical bond force is analyzed using total energy, orbital population and orbital energy.     

Influence of recrystallization and environment on tensile behavior of cold-rolled Ni3Al（Zr） alloys

1 Introduction Intermetallic compounds have long been the subjects of considerable interest for high temperature applications. In particular, Ni3Al is one of the more promising intermetallic compounds due to its anomalous temperature dependence of the yie…     

Effect of annealing temperature on ferroelectric properties of （Bi, Nd）4（Ti, V）3O12 thin films

Thin films of Nd^3＋/V^5＋-cosubstituted bismuth titanate, （Bi3.sNd0.5）（ Ti2.96V0.04）O12 （BNTV）, were fabricated on the Pt（111）/Ti/SiO2/Si（100） substrates by a chemical solution deposition technique and annealed at different temperatures of 650, 700, 750 and 800 ℃. The surface morphology and ferroelectric properties of the samples were studied in detail. The result shows that the film annealed at 800 ℃ indicates excellent ferroelectricity with a remanent polarization of 2Pr=40.9 i.tC/cm^2, a coercive field （Ec） of 114 kV/cm at an applied electrical field of 375 kV/cm. The substitution of Ti-site ion by V^5＋ ions could improve the upper limit of the optimal annealing temperature by decreasing the space charge density in BNT thin film. Additionally, the mechanism concerning the dependence of ferroelectric properties of BNTV thin films on the annealing temperature was discussed.     

Surface diffusivity of atomic deuterium on Ni3（Al,Ti）（110）surface with and without boron

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Effect of rare earth Pr on microstructure and mechanical properties of Al2O3-SiO2（sf）/Al-Si composites

The Al₂O₃-SiO₂(sf) (volume fraction, 20%)/Al-12.6Si metal matrix composites(MMCs) with or without rare earth Pr addition were fabricated by infiltration squeeze method. Effect of Pr addition on microstructures and fractographs of Al-Si MMCs was investigated by SEM and TEM. Tensile properties at room temperature and 200 °C were tested. It is shown that the addition of Pr is favorable to produce uniform microstructures and modify the eutectic Si crystal effectively. Compounds/intermetallics with high content of Pr are formed at the interface between short fiber and matrix. Yield strength(σ_0.2), ultimate tensile strength(σ_b) and fracture elongation of Al-Si MMCs are improved by adding suitable amount of Pr. Compared with those values of Al-Si based MMC at 200 °C, σ_0.2 and σ_b of MMC with 0.29% Pr are increased by 33% and 55%, respectively. The tensile fracture surface of Al-Si MMCs with Pr addition presents ductile fracture features.     

Influence of addition of Cu（OH）2 to KOH alkaline electrolyte on electrochemical properties of La2Mg0.9Al0.1Ni7.5Co1.5 hydrogen storage alloy electrode

The influence of the addition of Cu（OH）2 to 6 mol/L KOH alkaline electrolyte on the electrochemical properties of La2Mg0.9Al0.1Ni7.5Co1.5 hydrogen storage alloy electrode was investigated by electron probe X-ray microanalysis（EPMA）, X-ray diffraction（XRD） and electrochemical measurements. EPMA micrographs and XRD patterns show that the surface of the hydride electrode is plated by metal copper film. The thickness and compactness of Cu film increase with the increment of charge-discharge cycle number. The copper film of the hydride electrode surface can keep the hydrogen storage alloy particle in the electrode interior from oxidizing availably. The addition of Cu（OH）2 to alkaline electrolyte lowers the activation property and the high rate dischargeability of the La2Mg0.9Al0.1Ni7.5Co1.5 hydride electrode, but has no negative effect on the maximum discharge capacity of the hydride electrode. Moreover, it is effective to improve the cyclic stability of the hydride electrode utilizing electrodeposit Cu film on theLa2Mg0.9Al0.1Ni7.5Co1.5 hydride electrodes surface.     

Effect of second introduced phase on magnetotransport properties of La2/3Sr1/3MnO3/0.33（CuO,ZnO, Al2O3） composites

The structure, magnetic and magnetotransport properties of La2/3Sr1/3MnO3（LSMO）/0.33（CuO, ZnO, Al2O3） composites were investigated to explore the role of second introduced phase. The microstructural analysis shows two kinds of grain boundaries： LSMO/LSMO and LSMO/second phase/LSMO. Two maximal resistivities appear in LSMO/0.33CuO and LSMO/0.33ZnO composites while the resistivity of LSMO/0.33Al2O3 decreases monotonically with increasing the temperature from 200 K to 400 K. Moreover, the temperature dependence of magnetoresistance（MR） of LSMO/0.33A1203 that decreases monotonically with increasing the temperature is different from that of LSMO/0.33CuO and LSMO/0.33ZnO. A developed two-channel model consisting of scattering model and tunneling model was proposed to fit the resistivity—temperature curves of these composites. The role of second introduced phase and the magnetotransport mechanism of these composites were elucidated.     

基于小波神经网络的刀具状态监测系统的设计

利用能量分布特征提取方法和优化BP神经网络，提出一种基于小波变换和神经网络的刀具状态监测系统，利用该系统对四种刀具状态进行估计，结果与实际情况基本一致，证明该系统对于估计刀具状态是有效的。     

基于小波神经网络的滚动轴承故障诊断

根据滚动轴承振动信号的频域变化特征,采用小波包分析对其建立频域能量特征向量,利用径向基函数神经网络完成滚动轴承故障状态的识别.理论和试验证明了该方法的有效性和实用性.     

基于人工神经网络和专家系统的精炼过程钢水温度预测模型

通过分析影响精炼炉冶炼过程中钢水温度变化的主要因素,利用BP人工神经网络与专家控制相结合方法,建立了精炼过程钢水温度预测模型,并利用C#语言编程实现。应用该模型对精炼炉钢水温度进行预测,对预测结果进行了统计分析。结果表明,该模型对精炼过程钢水温度的预报误差为±5℃,准确率达到85%。     

基于神经网络的焊机参数预测方法

针对脉冲MIG焊参数众多,不易调节的特点,提出了一种基于神经网络的焊机参数预测方法. 该方法采用LM(levenberg-marquarlt)算法建立了焊机参数的BP(back propagation)神经网络模型,充分利用已知的理想数据对网络进行训练,实现了焊接过程中任一给定焊接电流状态下焊机输出参数的预测;利用焊接参数的预测值分别对单、双脉冲MIG焊进行了试焊. 结果表明,基于神经网络的焊机参数预测方法精度较高,焊接过程稳定,焊缝成形美观,能够实现良好的一元化调节.     

基于径向基神经网络焊接接头力学性能预测

利用径向基神经网络建立了TC4钛合金,TIG焊焊接工艺参数与接头力学性能关系的网络模型.训练模型使用了27组数据,并对另外9组数据进行仿真.结果表明,以焊接电流、焊接速度和氩气流量作为网络输入参数,利用所建的模型能够对该焊接接头抗拉强度、抗弯强度和断后伸长率进行较为准确的预测.通过与常用的标准BP神经网络模型比较发现,径向基网络相对于BP网络预测精度有了大幅度的提高,克服了BP网络训练时间长和容易陷入局部极小的缺点,为实现焊接接头力学性能预测提供了一条有效途径.     

轧钢机力能参数神经网络预测

在分析轧机轧制过程中的力能参数的基础上 ,测量并计算了 50 0 mm轧机的轧制力。探讨了用神经网络模型确定轧制力的方法 ,预测了轧制力 ,并将三种方法得到的轧制力进行了比较。结果表明用神经网络模型预测的轧制力误差远小于基于传统数学模型计算的轧制力误差 ,它能较好他反映实际轧制过程的特征。     

基于遗传小波神经网络MIG焊熔透状态模式识别

通过对已有的人工神经网络、小波分析、遗传算法的建模方法进行组合利用并加以改进,建立了基于电弧声信号特征的MIG焊熔透状态诊断网络模型.声波信号经小波去噪和小波包频带能量特征提取后,作为小波神经网络模型的输入特征向量,网络训练中采用具有全局优化能力的遗传算法动态修改网络结构和参数,避免了神经网络训练速度慢、容易陷入局部极值的缺点,从而完成数据挖掘和复杂的非线性建模功能.结果表明,将网络模型用于熔透状态诊断,证实了方案的可行性和有效性.     

氢氧化铝晶种表面的酸性及其对铝酸钠溶液分解过程的影响

用水溶液滴定法对Ａｌ（ＯＨ）３晶种的表面酸性进行了预测定。并用非水溶液回滴法进行了准确测量,确定了晶种表面的酸量,同时研究了不同粒度的晶种对分解过程的影响。实验结果表明,在相同质量下,细粒子的表面酸量较粗颗粒大;当表面积相同时,粗颗粒的单位表面酸量较细颗粒的大,探讨了晶种粒度对分解过程的影响,相同种子比条件,细粒子具有较高的分解速度和深度。     

人工神经网络方法预报热轧带钢的卷取温度

针对我国热轧带钢生产中普遍存在的卷取温度控制精度较低问题 ,采用神经网络与数学模型相结合的方法 ,以某热轧厂生产为例 ,构造了BP神经网络 ,使卷取温度控制精度达到了± 15℃。     

利用模糊神经网络技术预测焊接接头力学性能

探讨一种自适应模糊神经网络(adaptive fuzzy neural networks,ANFIS)预测焊接接头力学性能的方法.通过测定TC4钛合金TIG焊接头的抗拉强度、抗弯强度和延伸率,结合焊接工艺参数建立了用于焊接接头力学性能预测的自适应模糊神经网络模型.利用该模型,并使用BP算法和BP算法与最小二乘相结合的混合算法,采用不同的输入变量隶属度函数、模糊子集数、迭代次数,对焊接接头力学性能进行了ANFIS仿真.结果表明,当采用混合算法,且模糊子集数为3时,网络训练和预测结果平均误差均远小于7%.能够满足实际生产的要求.使用MATLAB和Visuall C 混合编程开发了基于ANFIS焊接接头力学性能预测软件,可根据焊接工艺参数对焊接接头的抗拉强度、抗弯强度和延伸率等力学性能进行较为准确地预测,为焊接接头的质量预测与控制提供了一条简捷、有效的新途径.