钛基复合材料的高周疲劳性能研究

研究了TiC粒子增强的钛基复合材料的室温轴向高周疲劳性能。测试Kt=1的试样时采用的试验频率为76Hz，R＝0．06和R＝－1时，复合材料的室温疲劳强度分别为594MPa和494MPa。试验结果表明TiC粒子增强的钛基复合材料的室温高周疲劳性能与细晶组织的Ti-6Al-4V和IMI834的相当。复合材料内含有较细小的薄片状组织，这种组织为α β相互相交错构成，这种细小的α β相间的层状组织对于阻止疲劳裂纹的扩展和提高疲劳裂纹的扩展寿命有重要作用。退火后的复合材料疲劳裂纹扩展区规则且较宽广，从而也使复合材料具有较高的疲劳强度，疲劳裂纹扩展寿命延长。     

逆向工程技术在复杂铸造模具制造中的应用

首先介绍了逆向工程技术与传统制造技术的区别,然后着重讨论利用逆向工程技术快速制造复杂铸造模具的过程及工艺路线,同时给出一些具体应用实例。最后得出与传统制造方法相比具有效率高、成本低、操作简单等优点的结论。     

电除尘(雾)器的高压供电技术及装置

阐述了用于电除尘(雾)器的几种不同高压直流电源的工作原理和特点.其中详细叙述了目前使用较多的两种电源--可控硅电源和L-C恒流电源,简要介绍了软特性准稳定直流电源、脉冲供电电源、高频开关电源、高压逆变直流电源等其它几种供电技术.     

Thermal and mechanical properties of polyhedral oligomeric silsesquioxane (POSS)/polycarbonate composites

A series of composite materials were produced incorporating polyhedral oligomeric silsesquioxane (POSS) derivatives into polycarbonate (PC), by melt blending. Significant differences in compatibility were observed depending on the nano-scale filler's specific structure: trisilanol POSS molecules generally provided better compatibility with PC than fully-saturated cage structures, and phenyl-substituted POSS grades were shown to be more compatible with PC than fillers with other functional groups. Trisilanolphenyl-POSS/PC composites possess the best overall performance among the POSS materials tested. The high compatibility between the trisilanolphenyl-POSS and polycarbonate matrix results in generation of transparent samples up to 5 wt% POSS content. Slightly enhanced mechanical properties including tensile and dynamic mechanical modulus are observed with the increase of trisilanolphenyl-POSS loading at the cost of decreasing ductility of the nanocomposites. Importantly, upon orientation of the PC/POSS nanocomposite, crystallization of POSS within the oriented material results—this observation is consistent with a growing number of observations which suggest that ‘bottom-up’ formation of structures incorporating multiple POSS cages result from orientation of these nanocomposites, and that the hybrid organic-inorganic inclusions may be at the heart of observed nano-scale reinforcement.     

CLT酸工业现状

本文介绍了CLT酸的生产技术、国内生产与市场情况，并提出了其发展方向。     

Effect of surface free energy on the adhesion of biofouling and crystalline fouling

Pipelines and heat exchangers using seawater as coolant suffer from biofouling. Biofouling not only reduces heat transfer performance significantly, but also causes considerable pressure drop, calling for higher pumping requirements. It would be much more desirable if surfaces with an inherently lower stickability for biofouling could be developed. In this paper, a cost-effective autocatalytic graded Ni-Cu-P-PTFE composite coating with corrosion-resistant properties was applied to reduce biofouling formation. The experimental results showed that the surface free energy of the Ni-Cu-P-PTFE coatings, which were altered by changing the PTFE content in the coatings, had a significant influence on the adhesion of microbial and mineral deposits. The Ni-Cu-P-PTFE coatings with defined surface free energy reduced the adhesion of these deposits significantly. The anti-bacterial mechanism of the composite coatings was explained with the extended DLVO theory.     

浓硫酸、过氧化氢催化合成糠酸甲酯

从浓Ｈ２ＳＯ４，３０％Ｈ２Ｏ２为催化剂合成糠酸甲酯，苯做萃取剂，萃取提取酯化产物，反应快，收率８３％。     

泡沫陶瓷的研制

泡沫陶瓷是一种新型的功能陶瓷材料。它具有独特的结构和性能，在工业中有着广泛的应用前景。泡沫陶瓷具有密度小、透气性高、耐高温、抗化学腐蚀等特性。本研究对用颗粒强化的氧化铝骨架合成泡沫陶瓷进行了分析。这种材料比其它多孔陶瓷材料具有更好的热化学性质。这种材料可以用有机海绵浸浆获得，然后烧去海绵，留下多孔陶瓷网。这种方法的优点是它包含了过程参数和陶瓷结构，同时合成物的烧结情况及其它条件的影响在文中也有阐述。     

新型穿流式搅拌桨研究(Ⅱ)——固液体系轴对称射流的实验研究

以磷矿料浆为介质,分别测量了流体穿过单个孔板和连续穿过两个相距一定距离的相同孔板产生的轴对称射流的长度和宽度.结果表明,存在一临界雷诺数Re0,对同一物系,Re0随喷孔长径比增加而减小.当雷诺数Re小于或等于Re0时,射流长度和宽度随Re增加而增加;当Re大于Re0时,射流长度和宽度几乎不变.根据因次分析结果,采用多元线性拟合得到了射流长度和宽度与喷孔出口流速、孔径、孔长和挡板间距的经验模型.     

利用量子化学特征的模糊人工神经网络预测咪唑啉衍生物缓蚀效率

针对咪唑啉衍生物的量子化学特征参数与缓蚀效率存在复杂非线性关系，在利用多因素方差分析判断其相关性的基础上建立以最高占据轨道能量、最低未占据轨道能量、分子偶极矩、单点能、硬度、软度、亲核进攻指数、亲电进攻指数、电子转移参数以及咪唑环上非氢原子静电荷之和等量子化学特征参数为输入，以缓蚀效率为输出的模糊人工神经网络。结果表明，咪唑啉衍生物的量子化学特征参数及其缓蚀效率之间具有非常显著的相关性，据此所创建的Takagi-Sugeno型模糊人工神经网络预测模型采用10-30-1网络结构，通过Momentum优化算法对其进行反复训练直至其均方误差小于容许收敛误差限0.005，训练、测试阶段模型输出值与期望值近似呈线性关系，决定系数为0.9999，关联度较高，验证阶段该模型亦表现出良好的可靠性。因此利用量子化学特征的模糊人工神经网络预测模型能够准确预测不同咪唑啉系列衍生物的缓蚀效率。