碳含量对Ti(CN)基金属陶瓷力学性能的影响

研究了Ti(CN)基金属陶瓷的碳含量对其物理力学性能的影响。结果表明 ,在一定范围内 ,随着碳含量的减少 ,Ti(CN)基金属陶瓷的矫顽磁力、钴磁和硬度降低 ;而抗弯强度则明显增高。     

热镀锌机组活套小车左右导向板异型曲面的加工

热镀锌机组中，活套小车装配的导向板是典型的细长件，细长件的加工历来是机械加工中的难点，而且活套小车配装的左右导向板的导向面为异形曲面，这就使加工难度更大，制造方法更复杂。本介绍了热镀锌机组活套小车左右导向板的制造工艺特点。通过合理安排各部位的加工留量及自然时效工序，专项措施与数控技术相结合，采取工序分散的加工原则，使产品质量完全达到了设计要求。     

新型冷轧(拔)无缝钢管高分子润滑工艺研究

提出了冷轧(拔)无缝钢管高分子润滑工艺。研究了该工艺的PL膜各种特性。介绍了工业实验情况。实验证明,高分子润滑工艺完全满足冷轧(拔)钢管工艺要求,并具有操作简便、环境污染小等优点,完全可以代替传统的磷化-皂化润滑工艺。     

SHS制备陶瓷内衬复合管中多孔层抑制措施

研究了在重力自蔓延法制备陶瓷内衬复合钢管过程中在复合热管底部出现的多孔层现象,以及各类添加剂对其的影响,分析了多孔层出现的原因,探讨了抑制措施。试验结果表明,SiO2的存在是产生多孔层的主要原因,并且多孔层部分随着SiO2含量的增加而增加,助燃剂也能导致多孔层的出现。当SiO2的质量分数小于2%时,适量加入氟化物,可以有效减少多孔层的体积。     

粘土砂旧砂再生效果与其含水量的关系

在影响粘土砂旧砂再生效果的诸多因素中,旧砂中水分含量是最重要的因素。本文就水分含量对再生效果的影响规律、再生效果最佳的水分含量等进行了研究和分析,得出了如下结论:并非含水量越低再生效果就越好,而是存在一个去泥率低谷区;再生效果最佳的适宜水分含量为1～2%。     

含B2O3渣系的热力学计算模型

根据炉渣结构的共存理论和相图，推导了ＣａＯＢ２Ｏ３和ＦｅＯＦｅ２Ｏ３Ｂ２Ｏ３渣系的热力学计算模型。结果表明：（１）理论计算的ＣａＯＢ２Ｏ３渣系的作用浓度ＮＣａＯ及ＮＢ２Ｏ３与实测的活度ａＣａＯ及ａＢ２Ｏ３一致；（２）理论计算的ＦｅＯＦｅ２Ｏ３Ｂ２Ｏ３渣系的氧化能力ＮＦｅｔＯ与实测的炉渣ＦｅｔＯ的活度值相符合。这说明本文提出的热力学计算模型是合理的。     

Anti-periodic solutions in a ring of four neurons with multiple delays

This paper is concerned with the existence and exponential stability of anti-periodic solutions of bidirectional associative memory (BAM) neural networks with multiple delays. Applying inequality techniques and Lyapunov method, Sufficient conditions which ensure the existence and exponential stability of anti-periodic solutions of the BAM neural networks are presented. Our results are new and supplement some previously known ones.     

A comparison between atmospheric water vapour content retrieval methods using MSG2-SEVIRI thermal-IR data

Atmospheric water vapour content (WVC) is a vital parameter in the study of climate change. Various methods have been developed to derive atmospheric WVC from remotely sensed data. In this study, we compared three methods for retrieving atmospheric WVC from thermal infrared data in the Meteosat Second Generation-SEVIRI channels 9 (10.8 μm) and 10 (12.0 ?m). The three methods are (1) the split-window covariance-variance ratio method using a spatial moving window (method 1); (2) the split-window covariance-variance ratio method using a temporal moving window (method 2); and (3) the varying surface temperature method using split-window channel data (method 3). The derived WVC using these three methods was compared to two WVC data sets from European Centre for Medium-Range Weather Forecasts (ECMWF) reanalysis data and the MODIS WVC product. Compared with these two data sets, the derived WVC using method 1 performed proved optimal. The valid pixels using methods 1 and 2 are greater than those using method 3. Furthermore, method 2 can be used to retrieve WVC over pixels where method 1 is invalid.