酸、碱及盐对胶乳法氯化天然橡胶热稳定性的影响

采用热老化实验结合紫外光谱分析和热分析，分析了酸、碱及盐对胶乳法氯化天然橡胶(CNR)热稳定性的影响，并讨论了酸、碱及盐对CNR热降解的影响机理。研究结果表明：胶乳法CNR产品中含有酸、碱、盐时，对CNR的结构有不利的影响，其影响随含量增高而增大，其中又以碱对结构的不利影响最大。因此，在胶乳法生产CNR的生产工艺中，最后的酸碱中和、洗涤2道工序必须严格控制工艺条件，保证半成品的pH值和含盐量达到标准。     

直接凝固注模成型Si_3N_4及SiC陶瓷──基本原理及工艺过程

直接凝固注模成型（ｄｉｒｅｃｔｃｏａｇｕｌａｔｉｏｎｃａｓｔｉｎｇ，ＤＣＣ）是一种崭新的（准）净尺寸陶瓷成型方法。本文报道了采用此法成型Ｓｉ_３Ｎ_４及ＳｉＣ陶瓷的基本原理和工艺过程。ＤＣＣ成型工艺过程为把高固相含量低粘度的陶瓷浆料浇注到无孔模具中，事先加入到浆料中的生物酶及化学物质通过改变浆料的ｐＨ或电解质浓度来改变浆料的胶体化学行为，从而使浆料原位凝固，得到有足够脱模强度的陶瓷坯体。ＤＣＣ成型的特点为坯体密度高（理论密度的５５％～７０％），坯体均匀，不用或只需少量的有机添加剂（少于１％），可成型大尺寸、复杂形状、高可靠性的陶瓷部件。     

基于螺旋搜索机制的行星搜索算法

螺旋搜索机制的全局搜索能力强,广泛用于萤火虫算法及鲸鱼搜索算法,但其收敛速度慢,收敛精度低,局部搜索能力较差。通过改变收敛范围较小时的搜索模式,提出了局部螺旋搜索来提高其局部搜索能力,并引入变异操作提高其局部搜索能力,提出了行星搜索算法。通过对单峰及多峰值测试函数对该算法进行验证。结果表明行星搜索算法在收敛速度、搜索精度及局部搜索能力等方面较粒子群算法、萤火虫算法及鲸鱼搜索算法等有明显提升。     

CO2压缩机增速齿轮箱断齿故障分析

通过对齿轮断口的形貌、振动原因及裂纹源分析、并结合对原齿轮设计承裁能力的校核，找到了GN-25增速齿轮箱断齿的原因，提出了防止故障发生措施。     

探索分解炉开发的新出路

1序言预分解窑技术在中国大力发展已经有二十年左右,尤其在最近几年数量猛增。预分解技术中的关键是分解炉技术,分解炉的作用是将生料中的CaCO3在入窑前分解90%以上,同时保持预热器系统处于正常工况状态,最大程度地发挥烧成系统能力。达到这个要求就需要做到以下几点:合适的煤供给量并且均匀稳定送入分解炉,煤发出的热量正好为生料预热和分解所需的热量,煤的燃烧达到较高程度,使煤尽可能燃尽或后燃烧量很少,不至于引起结皮堵塞等事故发生,入分解炉的生料的稳定供应确保吸热稳定,煤燃烧放热和生料吸收热量在空间上尽可能地均匀发生,使分解…     

固相反应法制备YAG透明陶瓷

研究了固相反应法制备钇铝石榴石(yttrium aluminum garnet，YAG)透明陶瓷的工艺。采用高纯Y2O3和Al2O3超徽粉为原料，在1300℃煅烧2h，制备出YAG粉末。YAG相生成温度比常规温度大约低200℃。加入0．5％(质量分数)正硅酸乙醑烧结助剂后，YAG坯体在1700℃真空烧结5h，得到了高透光的YAG陶瓷，其在可见光区最大透光率为63％，在红外光区的透光率接近70％。YAG陶瓷具有均匀的微观结构，晶粒尺寸大约为10～30μm。     

Users’ interest grouping from online reviews based on topic frequency and order

Large volume of online review data can reveal consumers’ major interests on domain product, which attracts great research interests from the academic community. Most of the existing works focus on the problems of review summarization, aspect identification or opinion mining from an item’s point of view such as the quality or popularity of products. Considering the fact that users who generate those review texts draw different attentions to product aspects with respect to their own interests, in this article, we aim to learn K users’ interest groups indicated by their review writings. Such K interest groups’ identification can facilitate better understanding of major and potential consumers’ concerns which are crucial for applications like product improvement on customer-oriented design or diverse marketing strategies. Instead of using a traditional text clustering approach, we treat the groupId/clusterId as a hidden variable and use a permutation-based structural topic model called KMM. Through this model, we infer K interest groups’ distribution by discovering not only the frequency of product aspects (Topic Frequency), but also the occurrence priority of respective aspects (Topic Order). They jointly present an informative summarization on the raw review corpus. Our experiment on several real-world review datasets demonstrates a competitive solution.     

Discovering small-world in association link networks for association learning

Association Link Network (ALN) is a kind of Semantic Link Network built by mining the association relations among multimedia Web resources for effectively supporting Web intelligent application such as Web-based learning, and semantic search. This paper explores the Small-World properties of ALN to provide theoretical support for association learning (i.e., a simple idea of “learning from Web resources”). First, a filtering algorithm of ALN is proposed to generate the filtered status of ALN, aiming to observe the Small-World properties of ALN at given network size and filtering parameter. Comparison of the Small-World properties between ALN and random graph shows that ALN reveals prominent Small-World characteristic. Then, we investigate the evolution of Small-World properties over time at several incremental network sizes. The average path length of ALN scales with the network size, while clustering coefficient of ALN is independent of the network size. And we find that ALN has smaller average path length and higher clustering coefficient than WWW at the same network size and network average degree. After that, based on the Small-World characteristic of ALN, we present an Association Learning Model (ALM), which can efficiently provide association learning of Web resources in breadth or depth for learners.     

CAU9901的高效液相色谱分析

报道了新型植物生长调节剂CAU9901的高效液相色谱分析方法。该方法快速简捷,精密度变异系数为0.49%,相关系数为1.000 4,准确度回收率在98.89%~100.1%之间。     

热式气体流量计用于低温余热发电

1 大管道气体流量计在余热发电中的应用 新型干法水泥生产中气流活跃在整个过程，在窑系统中热风有一次风、二次风、三次风，还有冷却机形成的大量热风。在热风循环过程中一部分热风用于原料和煤粉的烘干，还有一部分气体则作为废气被排放在大气中。在2500t／d、5000t／d等规模的水泥生产线中为实现低温废气综合利用，