Optimised phase compositions and improved microwave dielectric properties based on calcium tin silicates

The Ca_(1+2y)Sn_(1-x)Si_(1+y)O_(5-2x+4y) low-permittivity microwave dielectric ceramics were prepared through solid-state reaction at 1350–1450 °C for 5 h. The relations between microwave dielectric properties and phase compositions for non-stoichiometric Ca_(1+2y)Sn_(1-x)Si_(1+y)O_(5-2x+4y) ceramics have been investigated. A single CaSnSiO₅ phase with abnormally positive temperature coefficient of resonant frequency (τ_f = + 62.5 ppm/°C) was synthesised at 1450 °C. This composition was an effective τ_f compensator of CaSiO₃ and Ca₃SnSi₂O₉ phases with typically negative τ_f value. The CaSiO₃ second phase was related to the Sn deficiency in the CaSn_(1-x)SiO_(5-2x) (0 < x < 1.0) composition, whereas the Ca₃SnSi₂O₉ second phase was obtained by controlling the Ca:Sn:Si ratios on the basis of the Ca_(1+2y)SnSi_(1+y)O_(5+4y) (0 < y < 1.0) composition. A promising low-permittivity millimetre-wave ceramic with most excellent microwave dielectric properties (ε_r = 10.2, Q×f = 81,000 GHz and τ_f = −4.8 ppm/°C) was produced from the Ca_(1+2y)SnSi_(1+y)O_(5+4y) (y = 0.4) ceramic.     

Effects of zirconium silicate and chromite addition on the microstructure and bulk density of magnesia–magnesium aluminate spinel-based refractory materials

Six synthesized magnesium aluminate spinel-based refractory compositions used in steel and cement applications, were prepared using a two stage sintering process at 1760 °C, starting with approximately 1:1 wt% ratio of pure magnesia and alumina with additions of zirconium silicate (0.5, 1.0 and 2.0 wt%) and chromite (2.0, 3.0 and 5.0 wt%). These compositions were investigated for effects on densification, chemical and mineralogical phases formed.     

Equitone Predicate Algebras and Their Applications

Predicates that preserve their values on a larger (extended) body of data are called equitone. An algebra of such predicates is constructed, a system of its generators is specified, and a complete system of transformations of identities is defined. The results obtained are used for construction and investigation of complete classes of compositions of various types and levels of abstractions that are used in logics of partial predicates.     

兰香草挥发油化学成分的研究

采用常压水蒸气蒸馏法提取了兰香草挥发油,得油率为 0.35 ~ 0.52%。其相对密度(20℃/4℃)0.9980 ~0.9900,折射率(20℃)1.4608,比旋光度+0.51°;酸值1.5。并用毛细管气相色谱、红外光谱、核磁共振谱和色-质联机等对该挥发油进行了系统的成分分析。在分出的112个色谱峰中,共鉴定出 71 个化合物,占挥发油总量的 94.6%。其主要成分为芳樟醇、紫苏醇、香芹酮、荠苎烯、4-甲基-6-庚烯-3-酮、葎草烯、马鞭草烯酮、左旋松香芹酮、2-壬烯-4-炔等。     

浅析预焙阳极配料控制

分析了粉料纯度及配料控制对炭阳极生产和炭阳极成品率的影响，结合中国铝业青海分公司的生产状况，从预焙阳极配料控制方面，就如何提高炭阳极成品率、保持生阳极生产工艺稳定进行论述。     

景德镇青白瓷起源与发展的探讨

景德镇是宋元时期青白瓷的产地代表。本文分析了景德镇早期青白瓷的胎釉化学组成与同时期景德镇青瓷和白瓷化学组成之间的关系，以及与其制瓷原料化学组成之间的联系；探讨了宋元时期青白瓷胎、釉配方的发展及显微结构的差异。结果表明，青白瓷可能起源于五代白瓷的烧制，并在其后的生产过程中不断改进坯釉料配方，成品率和质量不断得以提高。     

三层结构的氧化锆陶瓷整体烧结研究

对三层结构的ZrO2陶瓷的整体烧结行为进行了较深入的研究,提出了提高三层结构的ZrO2陶瓷整体烧结的措施。研究结果表明:对于三层结构的ZrO2陶瓷,通过采取波浪型界面结构,改进表面层配方,降低升温速率等手段能获得整体烧结性能良好,抗弯强度达到682MPa,硬度15.56GPa的力学性能优良的复合陶瓷材料。     

矩形断面明渠中恒定均匀流的机械能损失

明渠流中机械能损失的确定是水力学乃至工程流体力学中的重要内容.以构建的明渠恒定流新的总流能量方程及矩形断面明渠三维层流运动的理论解为基础,通过理论分析与三维数值计算,就矩形断面明渠中恒定均匀流的机械能损失系数随雷诺数及宽深比的变化进行了深化研究,得到如下成果:1)在层流条件下,机械能损失系数一般均与雷诺数和宽深比有关,只有对宽深比大于6.5的宽浅明渠,其相应流动的机械能损失系数才仅与雷诺数有关,且在雷诺数相同的条件下,一般矩形断面明渠流的机械能损失系数要大于宽浅明渠流的机械能损失系数;2)在紊流条件下,机械能损失系数也一般均随雷诺数与宽深比而变,但对给定的宽深比,存在相应的特征雷诺数,当流动的实际雷诺数大于该特征雷诺数后,机械能损失系数则不再随宽深比而变化,且在宽深比一定的条件下,雷诺数越小,其机械能损失系数的修正值越大.     

Selecting linear algebra kernel composition using response time prediction

Numerical linear algebra libraries provide many kernels that can be composed to perform complex computations. For a given computation, there is typically a large number of functionally equivalent kernel compositions. Some of these compositions achieve better response times than others for particular data and when executed on a particular computer architecture. Previous research provides methods to enumerate (a subset of) these kernel compositions. In this work, we study the problem of determining the composition that yields the lowest response time. Our approach is based on a response time prediction for each candidate combination. While this prediction could in principle be obtained using analytical and/or empirical performance models, developing accurate such models is known to be challenging. Instead, we define a feature space that captures salient properties of kernel combinations and predict response time using supervised machine learning. We experiment with a standard set of machine learning algorithms and identify an effective algorithm for our kernel composition selection problem. Using this algorithm, our approach widely outperforms the strategy that would consist in always using the simplest kernel composition and is often close to the fastest kernel compositions among those evaluated. We quantify the potential benefit of our approach if it were to be implemented as part of an interactive computational tool. We find that although the potential benefit is substantial, a limiting factor is the kernel composition enumeration overhead. Copyright © 2014 John Wiley & Sons, Ltd.     

中低温煤焦油沥青组成及结构的表征

以中低温煤焦油沥青(MLTCTP)为原料,正庚烷、甲苯和喹啉为萃取剂,采用索氏抽提法分离得到:庚烷可溶物(HS)52.39%,庚烷不溶甲苯可溶物(HI-TS)43.9%,甲苯不溶物3.71%,不含喹啉不溶物。采用元素分析、相对平均分子量、红外光谱、紫外光谱和1 H-NMR等表征方法对中低温煤焦油沥青及其族组成的分子结构进行了研究。结果表明:MLTCTP、HS及HI-TS的相对平均分子量分别为326.5、258.4和361.6;平均分子式分别为C22.74-H22.47N0.249S0.055O1.53、C18.79H22.94N0.083S0.056O0.70和C24.48H21.74N0.387S0.063O2.33,其中杂原子氧主要以Ar-OH结构存在;MLTCTP的平均分子结构是以线性排列为主、面性排列为辅的四环稠环结构,HS平均分子结构为两单苯环线性链接结构,HI-TS的平均分子结构是以面性排列为主的五环稠环结构。