Thermodynamic calculation of S−Sb system and Cu−S−Sb system

Sb₂S₃ and CuSbS₂ have been proposed as alternative earth-abundant absorber materials for thin-film solar cells. However, no thermodynamic study of the S−Sb binary system and the Cu−S−Sb ternary system were investigated. In this paper, The S−Sb system and the Cu−S−Sb system are calculated utilizing the so-called CALPHAD (CALculation of PHAse Diagrams) technique. Using TEM-EDS and XRD, Cu_0.9Sb₁S₂ is experimentally confirmed at the Cu₁Sb₁S₂ and Sb₂S₃ two-phases region in the isothermal section at 673 K of the Cu−S−Sb ternary system. Given the asymmetric shape and miscibility gap of the liquidus in the S−Sb phase diagram, the associate solution model for the liquid phase is adopted. The solution phases (liquid, bcc, fcc) are treated with the Redlich–Kister equation. The compounds S₃Sb₂, Cu₃SbS₃, Cu₁₂Sb₄S₁₃, CuSbS₂, and Cu₃SbS₄ are described as a stoichiometric compound. A set of self-consistent thermodynamic parameters of the S−Sb binary system and the Cu−S−Sb ternary system are obtained. The calculated results are in good agreement with the experimental data. This study provides a set of reliable thermodynamic parameters to the Cu−Sb−S thermodynamic database, and a cost-effective tool to design material synthesis experiments and manufacturing processes.     

基于混沌序列的跳频信号源FPGA设计与实现

提出了一种基于混沌序列的跳频信号源的设计及硬件实现方法;该方法基于FPGA技术,以Logistic混沌映射电路作为跳频序列发生器,以直接数字频率合成器作为跳频信号源的基础;在FPGA上完成数字频率合成,并利用高性能的AD9777实现数模转换;实验测试结果表明,该信号源在2MHz～32MHz频率范围内,实现了16个频点的跳变频率且性能良好,能够满足实际工程的需要。     

一种基于混合神经网络的浮选pH值预测模型

矿物浮选过程中,矿浆pH值作为影响浮选效果的一个重要因素,是实现浮选过程监视及优化控制的一个重要参量。目前的pH值测定仪存在交叉污染、测量滞后等问题,难以获得实时准确的pH值。为使浮选运行在最优状态,在泡沫图像特征提取的基础上,提出一种基于自适应遗传混合神经网络的预测模型,该模型首先利用主元分析(PCA)方法对提取的多个图像特征进行降维,然后采用自适应遗传混合神经网络(AGA-HNN)建立pH值预测模型。最后将该模型应用于浮选现场,预测结果能够实时跟踪实际值,根据预测值实时调整工况条件,改善了浮选效果,提高了浮选效率。     

基于邻域搜索的OPTA指纹细化改进算法

在指纹细化的研究中,基于OPTA的细化算法及其改进算法普遍存在指纹图像不够光滑,毛刺较多,细化质量不高等现象。为解决上述问题,在OPTA改进算法基础上提出一个新的设计方案。首先重新设计了删除模板和构造模板,然后将该模板设计成一种独特的一维数组查表索引模式,通过计算比较点的邻域值,在表中查找并进行比对判决,即根据邻域的情况来判断一个点是否可以删除。仿真结果表明,用新方法处理后的指纹图像细化完全,骨架接近纹线中心线,光滑无毛刺,且查询速度快,是一种较为成功的细化改进方案。     

近景摄影测量中人工标志点的提取方法研究

针对近景摄影测量中人工标志点的自动识别问题,提出了一种人工标志点的中心坐标提取方法。在布设了多个标志点的隧道断面图像中,通过背景消除、形态学处理、标志点区域划分和非标志点消除等过程,能够识别出人工标志点并提取其中心坐标,并运用近景摄影测量的相关技术计算出其实际坐标。上述方法通过VC++编程得到了实现,其结果说明了该方法的可行性。     

基于VS的分形图形绘制

根据牛顿迭代法生成分形图形的原理,在Visual Studio平台下实现了用窗口获得不同参数来实现同一程序绘制不同分形图形,解决了以往用C语言编写程序,特定程序只能绘制特定分形图形的问题。同时对牛顿迭代算法进行改进,加快了生成分形图形的速度。并采用对scale和stretch参数进行控制替代以往对xmax‘,xmin’,ymax‘,ymin参数的控制使得对绘制分形图形的精细程度的控制更加直观。     

THERMAL DEBINDING OF A NEW BINDER

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Novel technology of purification of copper electrolyte

The effects of arsenic with different valence states on the purification of copper electrolyte were studied and a novel technology of purification of copper electrolyte by copper arsenite was proposed. The results show that the purification performance of As（Ⅲ） compounds is better than that of As（Ⅴ） compounds. The purification technology by copper arsenite has the advantages of simple operation, high purification performance and low cost in comparison with other technologies and its appropriate purification conditions are that copper arsenite concentration is 18 g/L, reaction temperature is 65 ℃ and reaction time is 8 h. The removal rates of Sb and Bi are 53.22% and 58.67% respectively under these conditions. The purification principle show that a kind of yellow precipitate mainly composed of arsenic, antimony （ Ⅴ ）, bismuth and oxygen forms in electrolyte after copper arsenite is added, and consequently antimony and bismuth are removed from electrolyte.     

180kA大型铝电解槽力场测试与分析

阐述了１８０ｋＡ大型铝电解槽槽壳的位移现场测试手段、槽壳表面位移特征和槽壳所受内力的计算方法，并对槽壳结构优化设计做了分析