R^3中旋转曲面的两个性质

本文给出了R~3中旋转曲面的两个充分必要条件,并加以证明。曲面Σ是三维欧氏空间R~3中旋转曲面的充分必要条件是:1) 沿一族曲线的曲面法线构成共轴的正园锥曲面族,此轴亦为该曲面旋转轴。2) Σ的主曲率 K_1=K_1(u_1) K_2=K_2(u_1)即仅依赖一个曲率线参数u_1。     

一类能控系统的控制函数

本文主要研究能控系统的控制函数f(t).其中,h(x)=ASin(wx+θ),或者h(x)=Acos(wx+θ),或者h(x)=e~(ax+b).     

200mm钢锭模的有限元强度分析

利用有限元法分别计算了原设计方案和新设计方案两种铜锭模热应力，并且进行了比较，新方案比原方案好，但并不是最合理的，还可以进一步优化。     

三个新大环草酰胺Ni(Ⅱ)配合物配体的合成、结构和DNA切割活性研究

合成了3个新的大环草酰胺Ni(Ⅱ)单核配合物NiL1(1),NiL2·CH3CH2OH(2)和NiL3·1.25H2O(3).由于羟基和草酰胺基团的氧原子都能够与金属离子配位,因此,NiL1-3可以用作构筑同多核和异多核配位化合物的配合物配体.X-射线单晶结构分析表明,每个大环配体的4个N原子与Ni(Ⅱ)配位,构成变形的平面正方形配位环境;Ni-N键的长度都非常短,表明3个大环配体中所有氮原子的配位能力都很强.1~3中的醇羟基使羟自由基淬灭,从而抑制了配合物切割DNA的活性.     

单片机在弯管自动化生产线中的应用

本文重点介绍弯管自动化生产线单片机自动控制系统组成及软件实现方法。     

The Edge-pancyclicity of Generalized Hypercubes

Generalized hypercubes （denoted by Q（d1,d2,... ,dn）） is an important network topology for parallel processing computer systems. Some methods of forming big cycle from small cycles and links have been developed. Basing on which, we has proved that in generalized hypercubes, every edge can be contained on a cycle of every length from 3 to IV（G）I inclusive and all kinds of length cycles have been constructed. The edgepanciclieity and node-pancilicity of generalized hypercubes can be applied in the topology design of computer networks to improve the network performance.     

杂多钨酸盐K_n[MW_(11)O_(39)Ni(H_2O)]·xH_2O的氧化还原性质研究

通过极谱和循环伏安法,结合紫外光谱和X射线光电子能谱研究了过渡元素K（?）〔MW_(11)O_(39)Ni(H_2O)〕·xH_2O(M=Si、Ti、Ga、Zr)在溶液中的氧化还原性质,提出了它们的还原机理,杂多阴离子的极谱半波电位顺序为Zr>Ti>Ga>Si,发现杂多阴离子的E_(1/2)与M元素的电负性有线性关系.     

抗氧化石墨材料的实验研究

用一种新工艺——泥浆凝胶工艺制备了石墨材料抗氧化梯度膜，通过初级泥浆涂层和合理的实验参数控制，生成了致密的ＳｉＣ涂层。通过Ｘ射线衍射对涂层进行晶相分析，用扫描电镜分析涂层的成分，证实涂层中ＳｉＣ浓度呈梯度分布，因而缓和了涂层与基体间的热应力。氧化实验表明样品在１０００℃下氧化３００ｈ、１４００℃２００ｈ以及１６００℃、２０ｈ样品质量没有任何损失。１４００℃下经２０个热循环试验后样品完好无损     

放矿随机过程中散体颗粒移动概率密度方程

通过对放矿随机过程的分析，提出了以布朗运动为理论基础的放矿过程散体颗粒移动的概率密度方程。为真实的模拟放矿随机过程中颗粒的移动奠定了理论基础，同时也为放矿理论研究提出了一条新的思路     

On-line Cutting Quality Recognition in Milling Using a Radical Basis Function Neural Network

Tool wear, chatter vibration, chip breaking and built-up edge are main phenomena to be monitored in modern manufacturing processes, which are considered as important factors to the quality of products.They are closely related to the cutting parameters, which are to be selected in manufacturing process.However, it is very difficult to measure directly the cutting quality based on on-line monitoring.In this study, the relationship between the cutting parameters and cutting quality is analyzed.A Radical Basis Function (RBF) neural network based on-line quality recognition scheme is also presented, which monitors the level of surface roughness.The experimental results reveal that the RBF neural network has a high prediction success rate.