江阴兴澄特钢2#高炉中修停炉操作实践及实施效果

江阴兴澄特钢2#高炉中修停炉,采用前期回收煤气、利用TRT降温、打水降料面的操作方法.通过采取停炉料的精确计算、雾化打水降温、炉内精心操作等措施,最大限度回收煤气,缩短了停炉时间,料面降低至风口位置,为以后中修停炉积累了经验.     

Diffusion bonding between nickel-base superalloy K24 and heat-resisting steel 1Cr11Ni2W2MoV

IntroductionSLlperalloyandheat-resistingsteelarenowwidelyusedasstructurematerialsinaerospace,a\-lationalldshipbuildingindustries.Nickel-basesuperalloywasfirstlyrevealedasanengineeringmaterialduringtheearly1960swhenitwasrecognizedasbeingsuitableforllledium-temperaturegasturbinel'l.Now.nickel-basesuperalloyhasbeenpracticallyusedinhigheffectiveturbinestosatisfytheincreasingdemandsforhighertemperatureenvironmentsIZI.Insomeaerospaceengines,theimpellersshouldserveattemperatureof1000C~1100C,andala…     

粉煤灰基混凝剂的制备及在大麻废水中的应用

采用酸溶法以粉煤灰为基础原料 ,通过添加一定量的硫铁矿烧渣 ,制备成粉煤灰基复合混凝剂 ,确定了最佳工艺条件 .实验结果表明 ,影响混凝剂制备的主要因素是粉煤灰与硫铁矿渣的质量比、酸用量、浸取时间和温度 .此混凝剂对大麻废水中 CODcr去除率达 88% ,色度去除率可达 96.6%以上 ,具有沉淀快和污泥体积小等优点 .     

塑料包装应用及技术进展

塑料在包装领域有着广泛的应用，其中聚酯（PET）性能优良，应用领域不断扩大。介绍了塑料包装不断通现的新技术，以及塑料包装环保问题的几点思路。     

直链烷基苯生产工艺及市场分析

通过对大量资料的收集与整理，简述了全球直链烷基苯的生产工艺及应用情况，重点介绍了目前全球最新的直链烷基苯生产工艺——固体酸烷基化生产工艺(DETAL工艺)。同时对全球范围内直链烷基苯的供应与需求情况进行了介绍，并对直链烷基苯的未来市场进行了分析与预测。     

四丁基脲的合成方法

四丁基脲(简称TBU)是一种用途很广的有机合成中间体,对其制备方法的研究具有重要的现实意义。笔者系统介绍了合成四丁基脲的方法,归纳分析目前生产四丁基脲的方法,比较各种方法的优缺点,并对今后的研究方向进行了展望。     

富集均三甲苯塔的模拟与优化

在满足工艺要求的基础上，通过富集均三甲苯塔模拟与优化给出最佳操作条件，用于指导实际操作和设备改造．优化生产参数。     

Catalytic activities and properties of mesoporous sulfated Al2O3–ZrO2

Mesoporous sulfated Al₂O₃–ZrO₂ (MSAZ) catalysts with large surface areas and pore volumes after calcination at high temperature (650 °C) and with higher Al₂O₃ content than 20wt% were successfully prepared from a template of block copolymer (P84). The MSAZ catalysts were characterized by X-ray diffraction (XRD), N₂ adsorption, transmission electron microscopy (TEM), ²⁷Al magic-angle spinning nuclear magnetic resonance (MAS NMR), thermogravimetric analysis (TG–DTG), temperature-programmed desorption of ammonia (NH₃-TPD) and infrared spectra (IR) of adsorbed pyridine. It is shown that the resulting mesostructured sulfated Al₂O₃–ZrO₂ samples have a well-developed textural mesoporosity. The number of acid sites present on MSAZ catalysts is higher than that on conventional sulfated zirconia, and the former catalysts are more active than the latter one for various acid-catalyzed reactions.     

Multi-scale patch-based sparse appearance model for robust object tracking

When objects undergo large pose change, illumination variation or partial occlusion, most existing visual tracking algorithms tend to drift away from targets and even fail to track them. To address the issue, in this paper we propose a multi-scale patch-based appearance model with sparse representation and provide an efficient scheme involving the collaboration between multi-scale patches encoded by sparse coefficients. The key idea of our method is to model the appearance of an object by different scale patches, which are represented by sparse coefficients with different scale dictionaries. The model exploits both partial and spatial information of targets based on multi-scale patches. Afterwards, a similarity score of one candidate target is input into a particle filter framework to estimate the target state sequentially over time in visual tracking. Additionally, to decrease the visual drift caused by frequently updating model, we present a novel two-step object tracking method which exploits both the ground truth information of the target labeled in the first frame and the target obtained online with the multi-scale patch information. Experiments on some publicly available benchmarks of video sequences showed that the similarity involving complementary information can locate targets more accurately and the proposed tracker is more robust and effective than others.     

A self-adaptive intelligent single-particle optimizer compression algorithm

This paper presents a self-adaptive intelligent single-particle optimizer (AdpISPO) for DNA sequence data compression codebook design. Featured with the crucial self-adaptive optimization process, AdpISPO is capable of attaining better fitness value than most existing particle swarm optimization variants with no specific parameters required. A novel DNA sequence data compression algorithm, namely BioSqueezer, is proposed in this paper. Introducing all the unique data features in constructing the compression codebook, BioSqueezer compresses DNA sequences by replacing similar fragments with the index of its corresponding code vector. For attaining higher compression ratio, the AdpISPO is employed in BioSqueezer for the codebook design. Experimental results on benchmark DNA sequences demonstrate that BioSqueezer attains better performance than other state-of-the-art DNA compression algorithms.