攀西钒钛磁铁矿尾矿制备储水泡沫陶瓷的研究

以攀西钒钛磁铁尾矿和废玻璃为主要原料通过高温烧结法制备储水泡沫陶瓷，研究原料配比和发泡剂（SiC）添加量对材料性能的影响。结果表明:随着钒钛磁铁矿尾矿含量的增加，材料的体积密度及抗压强度逐渐增大，平均气孔孔径逐渐减小；当尾矿添加量为50 wt%，材料的体积吸水率出现极值。当SiC添加量为0.3 wt%，材料内部气孔分布均匀，平均孔径约为2.93 mm。最终以50.0 wt%的钒钛磁铁矿尾矿和50.0 wt%的废玻璃为原料，外加3.0 wt%的石英，0.3 wt%的SiC，3.0 wt%的Na3PO4，在1040℃下制得性能最优的储水泡沫陶瓷，材料的体积密度为0.26 g/cm-3、体积吸水率为56.5%和抗压强度为0.68 MPa。采用SEM、XRD等检测手段研究材料的微观形貌及物相组成，结果表明储水泡沫陶瓷内部由三维立体结构组成，有利于储存水分；材料主要物相包括硅灰石、长石、透辉石和钛铁矿。      

多晶硅生产中残液搅拌罐密封结构的改造

在处理多晶硅生产中产生的残液时,残液搅拌罐填料密封出现泄漏,针对此问题提出了优化措施,达到了预期效果。     

因素空间理论下基点分类算法研究

目前，基于因素空间理论的背景基提取算法计算过程复杂，初始化必须依赖各因素极值，基点数量提取冗余等原因，未能在应用中取得很好效果。为此，结合内点判别法和知识可继承、可扩展的思想，提出一种计算简单、初始化独立、基点数量小的改进的背景基提取算法。然后，利用改进的背景基提取算法构造出一种全新的数据分类算法-基点分类算法，基点分类算法以提取每一类样本的背景基为预测模型，再通过新定义的λ-背景基，优化预测模型。数值实验表明:基点分类算法原理简单、构造难度小、分类模型泛化能力强，预测能力准确率高，同时严格的模型限定区域又能为识别新类别提供新方法。     

采煤工作面煤层注水参数试验研究

通过在6198采煤工作面现场施工煤层注水钻孔采取煤样,实验室试验注水钻孔水压力分布、煤样含水率变化,得到了工作面煤层注水影响半径等技术参数,为采煤工作面煤层注水提供了一定的参考依据。     

动态结冰孔隙结构三维建模方法

动态结冰内部呈现多孔结构特点，这一微观孔隙结构是影响其宏观物性的关键因素，然而传统方法难以对三维孔隙结构进行定量表征。为了客观刻画结冰微观结构特征，提出了基于结冰二维图像定量信息的三维微观结构建模方法。首先，研究并确定了真实结冰尺寸与建模区域之间的比例关系，分析比例尺对分辨率和建模的影响；其次，结合二维孔隙率和孔径分布函数，提出了三维孔隙数量及其孔径的推导方法，并给定了孔隙位置随机生成方法；基于此，最终建立了以0-1矩阵形式表征结冰三维微观孔隙结构的方法。实验表明，所生成三维结冰模型的二维孔隙定量信息与实验结果吻合度较高，建模方法准确可行，为动态结冰三维刻画、微观特征参数提取和相关微观仿真模拟提供了新途径。     

Additional high-energy milling to enhance the performance of porcelain stoneware manufacturing

Porcelain stoneware tile is the best class of ceramic tiles regarding technical performance. Low porosity and high glass content are some of its highlighted characteristics. The manufacturing cost is highly dependent on the feldspar content and the processing flow rate. Certain technical bottlenecks in the manufacturing steps, such as milling, forming, and firing, are intrinsically associated with limitations in the processing properties, such as the dry strength, bulk density, and pyroplastic deformation. In this work, improvements in these properties were achieved using high-energy milling (HEM) after conventional milling (CM). This study was carried out on a pilot industrial scale in the milling stage. Six experimental runs were evaluated. Slurries were spray-dried. The powders were humidified with 6.5% moisture. Specimens were conformed under a specific pressure of 45 MPa. The firing was performed using temperature ranging from 1150 to 1230°C. The use of HEM, in comparison to traditional milling for the similar particle-size distributions, has increased the dry density, +0.2 g.cm⁻³, dry bending strength, +1.0 MPa, and decreased the pyroplastic deformation index, −1.10⁻⁵ cm⁻¹. These results allow an estimated thickness reduction of 10%.     

Two low-permittivity melilite ceramics in the SrO-MO-GeO2 (M = Mg,Zn) system and their temperature stability through compositional modifications

Two melilite ceramics Sr₂AGe₂O₇ (A = Mg, Zn) with low permittivity were prepared by a solid-state reaction method. The crystal structure and microstructure of the ceramics were characterized by X-ray diffraction, transmission electron microscopy, Raman spectroscopy, and scanning electron microscopy. Both ceramics crystallized in a single melilite structure with a tetragonal space group P-42m (113) and exhibited homogeneous microstructures. Optimum microwave dielectric properties with relative permittivity (ε_r) of 8.56, quality factor (Q × f) of 28,800 GHz, and temperature coefficient of resonance frequency (τ_f) of −70.5 ppm/°C were obtained in Sr₂MgGe₂O₇ sintered at 1330 °C. Sr₂ZnGe₂O₇ possessed ε_r of 8.81, Q × f of 35,700 GHz, and τ_f of −84.4 ppm/°C when sintered at 1290 °C. Thermal stability of resonance frequency was accessible when the negative τ_f values of Sr₂AGe₂O₇ were adjusted after the formation of composite ceramics with CaTiO₃.     

自适应SA-PSO优化的威布尔混合分布参数估计方法及应用

针对采用传统参数估计方法得到的模型拟合误差较大的问题，建立多重威布尔混合分布参数估计的非线性最小二乘模型，并提出基于模拟退火（SA）思想的自适应粒子群（PSO）算法进行求解。在PSO算法优化过程中，采用自适应方法调整惯性权重和加速因子，加快其收敛速度；引入模拟退火机制，根据Metropolis准则确定最优粒子的取舍，改善其全局搜索能力。将该方法应用到某型柴油机喷油器失效分布的参数估计中，并与图解法、基于Levenberg-Marquardt的非线性最小二乘法、标准PSO算法、自适应PSO算法求解的结果进行比较，分析所提方法的优化性能及精度。结果表明，该方法能够有效提高多重威布尔混合分布模型参数估计的精度和效率。     

25CrNi2MoV钢的微动磨损性能

采用微动摩擦磨损试验机在干摩擦条件下对新型高速重载传动轴用25CrNi2MoV钢进行微动磨损试验,研究了不同载荷(50~200N)和频率(15~30Hz)下该钢的微动磨损性能。结果表明:在频率为20Hz条件下,当载荷由50N增至200N时,25CrNi2MoV钢的平均摩擦因数由0.766减至0.661,磨损体积由19.65×10^-3 mm^3增至75.83×10^-3 mm^3;在载荷为30N条件下,当频率由15Hz增至30Hz时,平均摩擦因数由0.790增至0.905,磨损体积由11.43×10^-3 mm^3增至23.88×10^-3 mm^3;在不同试验参数下,25CrNi2MoV钢磨损表面均出现了氧化和犁沟现象,磨损机制包含氧化磨损和磨粒磨损;在频率为20Hz条件下,载荷为50,100N时,25CrNi2MoV钢的磨损机制以黏着磨损为主,载荷为150,200N时,主要磨损机制为疲劳磨损;在载荷为30N条件下,频率为15~25Hz时,磨损机制以磨粒磨损为主,当频率增至30Hz时,磨损机制以疲劳磨损为主。     

Physicochemical characteristics,antioxidant capacity and thermodynamic properties of purple-fleshed potatos dried by radio frequency energy

Abstract

The impacts of using radio frequency (RF) energy to dry purple-fleshed potatoes were investigated and compared to infrared radiation (IR) and microwave (MW) drying techniques. The gelatinization rate, color, flavor, morphological, and structural characteristics, thermodynamic properties, as well as antioxidant capacity were examined. The results indicated that the drying time of RF (70?min) and MW (21?min) were shorter than IR (105?min). The gelatinization ratio of MW, RF, and IR were 94.4?±?2.0, 88.3?±?1.4, and 64.5?±?1.1%, respectively. The degree of crystallization of purple-fleshed potato powder decreased with all three drying methods. RF-dried potatoes were able to retain higher polyphenols (loss rate: 4.3%), total anthocyanin (3.7%), and total flavonoid content (35.1%), whereas IR showed the lowest retention. The content of polyphenols also decreased significantly. Furthermore, after RF heating, the scavenging of free radicals was higher compared to MW and IR.