Sasobit对沥青混合料阻燃性能的影响

通过对添加Sasobit温拌剂的温拌及温拌阻燃沥青混合料进行试验研究,对比分析了其在添加阻燃剂前后混合料在水稳定性、高温稳定性、低温抗裂性等路用性能方面的变化,并参照GB/T10707—1989橡胶燃烧性能测试标准规定的极限氧指数测试方法,采用改进的试样制备方法,对SBS改性沥青和SBS改性阻燃沥青分别在添加不同掺量Sasobit温拌剂后的阻燃性能进行了试验研究.试验结果表明,Sasobit温拌沥青混合料在添加阻燃剂前后其路用性能均能满足规范要求,可以应用于隧道路面;然而氧指数试验结果表明,蜡基温拌剂Sasobit掺在沥青中有一定的助燃作用,它的添加会使沥青极限氧指数减小,阻燃性能变差,且随着其掺量的增加不断降低.     

Characterization of petroporphyrins in Gudao residue by ultraviolet-visible spectrophotometry and laser desorption ionization-time of flight mass spectrometry

A porphyrin-containing fraction isolated from the >500 °C residue of Chinese Gudao heavy oil was analyzed using laser desorption ionization-time of flight mass spectrometry (LDI-TOF-MS) for the first time. LDI-TOF-MS was revealed to be suitable for the characterization of petroporphyrins mixture. LDI-TOF mass analysis, combined with UV-vis measurement, indicated that the nickel porphyrins in Gudao residue are a mixture of ETIO homologues (C₂₅-C₃₄) maximizing at C₃₀ and DPEP homologues (C₂₈-C₃₇) maximizing at C₃₁. The ΣDPEP/ΣETIO ratio is about 1.04, suggesting Gudao oil is in the stage of becoming mature.     

电解法腐蚀硅片过程中产生的晶态二氧化硅

本文用富里叶红外光谱及Ｘ射线衍射对在氢氟酸中电解硅片时形成的多孔硅膜进行了分析，发现除了硅以外，其中还有晶态的二氧化硅（鳞石英）存在，由此说明多孔硅表面的硅氧化合物并非都是样品制备后在在气中氧化造成的，它对多孔硅发光有很大的关系。     

Design, analysis and control for an antarctic modular manipulator

Antarctic scientific expedition has important strategic significance. It is an inevitable trend to apply robots to assist researchers during the Antarctic expedition. However, the robot manipula- tors at present have a series of problems and unable to meet the requirements of the Antarctic expe- dition. In this paper, a novel Antarctic modular robot manipulator is proposed, which has a compact structure with modular joints. The robot manipulator has high reliability, and quick assembling-and- disassembling ability. Through well wires arranging and thermal controlling, the manipulator can better adapt to the Antarctic environment. In addition, the work space of the manipulator is serious- ly analyzed, and a new hybrid position/force control method is adopted to make the manipulator per- form better. Simulation results validate the control method and show that the robot manipulator has a good performance to meet the requirements of Antarctic expedition.     

硫黄对杜仲橡胶形状记忆材料性能的影响

研究硫黄用量对杜仲橡胶形状记忆材料性能的影响。结果表明：随着硫黄用量的增大,胶料的ML变化不大,MH增大,t⁹⁰先缩短后延长;硫化胶的交联密度总体呈增大趋势,定伸应力和拉伸强度先减小后增大,热刺激响应回复温度呈减小趋势,最终形变回复率先增大后减小;动态力学性能测试发现,存在多相转变峰;当硫黄用量为1份时,硫化胶的物理性能和热致形状记忆性能最佳。     

高效液相色谱法测定化妆品中氨甲环酸的含量

建立了测定化妆品中氨甲环酸含量的高效液相色谱法。采用Zorbax SB C_(18)色谱柱(250 mm×4.6 mm,5μm)分离,以水-甲醇-18.3 g/L磷酸二氢钠溶液(含体积分数1.26%的三乙胺,pH=2.5)为流动相进行梯度洗脱,流速0.8 m L/min,柱温25℃,进样量10μL,样品经体积比为1∶1的甲醇-饱和氯化钠溶液提取,用二极管阵列检测器(DAD)检测,检测波长220 nm,外标法定量。结果表明,氨甲环酸在100~4 000 mg/L范围内线性关系良好,相关系数R~2=0.999 9。方法的检出限为7 mg/L,定量限为22 mg/L。样品的平均加标回收率为94.0%~102.5%,相对标准偏差为0.57%~2.69%(n=3)。该方法前处理简单、回收率高、精密度好,适用于化妆品中氨甲环酸含量的测定。     

稀土氢氧化镝纳米棒的水热合成及生长机理研究

本文介绍了一种水热合成稀土Dy(OH)3纳米棒的方法,反应条件温和,绿色环保,无污染.在水热过程中,以氧化镝粉末为反应前驱体,氢氧化钾为矿化剂,水为溶剂,180℃条件下水热48 h,合成了稀土Dy(OH)3纳米棒,再经过500℃热处理1h,即可得到同形貌的Dy2O3纳米材料.通过X射线粉末衍射(XRD)仪、透射电镜(TEM)对样品进行表征,结果表明,所制得的稀土Dy(OH)3为结晶良好、粒径均一、表面光滑的棒状纳米结构.同时,本文对矿化剂对产物形貌的影响进行了探讨.     

采用氮保护气氛生长的功率晶体管用硅单晶的研究

本文论述在纯氮气氛中生长硅单晶技术,根据器件工艺要求,与器件厂相互配合,取得了功率晶体管成品率的大幅度提高,肯定了氮保护气氛下生长的硅单晶的优越质量。     

Pull-Down of Metalloproteins in Their Native States by Using Desthiobiotin-Based Probes

One-third of all proteins are estimated to require metals for structural stability and/or catalytic activity. Desthiobiotin probes containing metal binding groups can be used to capture metalloproteins with exposed active-site metals under mild conditions so as to prevent changes in metallation state. The proof-of-concept was demonstrated with carbonic anhydrase (CA), an open active site, Zn²⁺-containing protein. CA was targeted by using sulfonamide derivatives. Linkers of various lengths and structures were screened to determine the optimal structure for capture of the native protein. The optimized probes could selectively pull down CA from red blood cell lysate and other protein mixtures. Pull-down of differently metallated CAs was also investigated.     

Research on a Recognition Algorithm for Offshore-Pipeline Defects during Magnetic-Flux Inspection

Pipeline-safety evaluation is an important problem for industry. On the basis of the magnetic-flux-leakage (MFL) method, this paper presents an automated inspection device for inspection of pipeline defects, analyzes the MFL-inspection theory and some defect-feature parameters, and gives a recognizing algorithm based on a dynamic wavelet-basis-function (WBF) neural network. This dynamic network utilizes a multiscale and multiresolution orthogonal wavelet and backward-propagating through signals and has more significant advantages than BP or other neural networks used in MFL inspection. It also can control the accuracy of the predicted defect profiles, possessing high-speed convergence and good approaching features. The performance that applies the algorithm based on the network for predicting a defect profile from experimental MFL signals is also presented.__________Translated from Defektoskopiya, Vol. 41, No. 4, 2005, pp. 34–43.Original English Text Copyright © 2005 by Jin Tao, Que Peiwen, Chen Liang, Li Liang.The text was submitted by the authors in English.