Intelligent optimal control for lead-zinc sintering process state

The intelligent integrated predictive model of synthetical permeability was established using the fuzzy classifier to combine the time sequence predictive model with the craftwork parameter predictive model. Then, the estimation model of bum-through point（BTP） based on pipe stress point（PSP） method and the predictive model of BTP were proposed. The optimal control of permeability and heat states was implemented by using the fuzzy expert controller with self-studying mechanism. The application of the intelligent control technique suppresses 17% of the fluctuation of synthetical permeability and 12% of the fluctuation of BTP, stabilizes the output and quality of sinter and settles the basis for the optimization of output and quality of sintering process.     

点扩展函数与采样频率及量化精度对图像边缘的影响分析

文章在建立理想边缘成像模型的基础上,分析研究了一般成像系统的点扩展函数与空间采样频率的关系及对图像边缘定位精度的影响,给出了边缘定位误差.同时,还分析研究了量化精度对图像边缘的移位影响,给出了移位误差.最后,给出了本文的分析研究在零件视觉精密检测的应用情况.     

304不锈钢精铸件点缺陷的形成与控制

针对典型304不锈钢精密铸件内出现的黑色点缺陷,对其表面形貌、成分进行了分析,并在此基础上总结了缺陷的形成机制,确定了相应的防止措施。研究结果表明,铸件内的点缺陷可以划分为两类:一类具有不规则截面,为脱蜡过程中剩余腊料的燃烧残留物;另一类为熔炼过程中,由于脱氧剂和除渣剂的去除不彻底而引入的夹杂。通过优化脱蜡和熔炼工艺,使得铸件内的点缺陷得到了很好的控制。     

The establishment of the statistical-thermodynamic model of D81-structure and its application to α-Nb5Si3

A statistical-thermodynamic model for binary nonstoichiometric A₅B₃ with D8₁-structure has been established on the basis of the grand canonical ensemble. In the model the average chemical potentials according to the composition and a new extra equation as a boundary condition are proposed for more accuracy and free experimental data calculations. The model can be used in any A₅B₃ type compounds with D8₁ structure. The establishment method of the statistical-thermodynamic model can be extended to other complicated structures. We apply the statistical-thermodynamic model to α-Nb₅Si₃ and the parameters used in the model are obtained from the first-principles' calculations. From these parameters the expression for the point defect concentrations as a function of compositions and temperatures is obtained by numeral calculations. The constitutional defects and thermal defects in α-Nb₅Si₃ are discussed.     

ZnO压敏陶瓷的非线性功能添加剂

本文采用单元掺杂与多元掺杂的方法，系统研究了几种过渡金属氧化物添加剂在控制ＺｎＯ压敏陶瓷非线性方面的作用，并根据金属阳离子外壳层电子结构稳定性和缺陷化学反应进行了分析，认为阳离子具有不饱和外层电子结构且半径与Ｚｎ＾２＋离子相近的过渡金属氧化物能改善ＺｎＯ压敏陶瓷非线性。     

高沸点溶剂法合成原乙酸三甲酯

对低沸点溶剂法制备原乙酸三甲酯工艺进行了改进，比较了煤油、2-乙基己醇、氯苯、异佛尔酮、邻苯二甲酸二丁酯、乙二醇二丁醚等高沸点溶剂对反应的影响，筛选出最优高沸点溶剂煤油：研究了新反应体系的醇解pH值、溶剂的循环使用次数对反应的影响及溶剂循环损耗率，结果表明，醇解的最佳pH值为5．6；随着溶剂循环次数增加，原乙酸三甲酯收率从83．6％(1次)逐渐下降到76．7％(16次)；溶剂次平均损耗率4．6％。实现了直接蒸馏产品，溶剂循环使用的新工艺。避免了旧工艺先蒸溶剂，后蒸产品，产品大量分解，收率低等缺点。     

硝酸钠卤水沸点变化理论计算

根椐已有的文献与数据,采用数学模型方法,研究了硝酸钠卤水沸点在不同组成、不同压力条件下的变化关系,确定了硝酸钠卤水沸点与质量分数及压力的数学方程式;根椐硝酸钠卤水压力与组成,可以计算出硝酸钠卤水的沸点值,为新疆都善县库木塔格硝酸钠矿大规模生产硝酸钠提供了重要设计依据.     

伪随机流场法在堤坝渗漏探测中的应用与研究

伪随机流场法具有快捷、直接、精确有效等优点,逐步成为堤坝渗漏探测的主流方法。利用该方法,在漏水区域、库区无穷远段进行高压供电,库区内网格状布置测点,可查找渗漏入水点。通过对各异常区域的区域面积、异常区域内各测点的异常平均值以及对于严重渗漏的临界值进行计算,可判断水库渗漏通道和各渗漏点的渗漏量比例。此外,由于该方法快速便捷的特点,可以运用该方法进行实时监测。应用于某混凝土面板堆石坝的探测结果表明,利用堤坝周边已经存在的监测孔或在灌浆帷幕下游进行钻孔,进行伪随机电位差或者电流测试,可在无损条件下判断渗漏来源和通道发育方向,检测防渗处理效果。该方法可为堤坝渗漏监测预警、拟定防渗处理方案提供依据。     

Time series forecasting by neural networks: A knee point-based multiobjective evolutionary algorithm approach

In this paper, we investigate the problem of time series forecasting using single hidden layer feedforward neural networks (SLFNs), which is optimized via multiobjective evolutionary algorithms. By utilizing the adaptive differential evolution (JADE) and the knee point strategy, a nondominated sorting adaptive differential evolution (NSJADE) and its improved version knee point-based NSJADE (KP-NSJADE) are developed for optimizing SLFNs. JADE aiming at refining the search area is introduced in nondominated sorting genetic algorithm II (NSGA-II). The presented NSJADE shows superiority on multimodal problems when compared with NSGA-II. Then NSJADE is applied to train SLFNs for time series forecasting. It is revealed that individuals with better forecasting performance in the whole population gather around the knee point. Therefore, KP-NSJADE is proposed to explore the neighborhood of the knee point in the objective space. And the simulation results of eight popular time series databases illustrate the effectiveness of our proposed algorithm in comparison with several popular algorithms.