柴油添加剂功效影响因素的灰色关联分析

提出了一种柴油添加剂非台架实验的功效判断方法——灰色关联分析法。应用这个方法分析待测功效的柴油添加剂，可通过测定加入它后的柴油样品的物理性质和加入已知功效较好的柴油添加剂的柴油样品的物理性质，再作灰色关联分析，综合关联顺序以评定其功效好坏。应用这个方法还可推断柴油样品的表面张力是影响燃烧好坏的主要因素，其次是粘度、十六烷值和燃点。     

圆筒形铸件缩松缩孔的产生原因及解决方法

针对圆筒形铸铁辊体冒口端面产生的缩松、缩孔缺陷，进行了举例说明、系统分析，找到了缺陷产生的原因及影响因素。通过解决措施的应用与实施，有效地克服了圆筒形辊体铸件冒口端面产生的缩松、缩孔缺陷，同时应用到其它大型圆筒形铸件中，都得到了良好效果。     

低铁耗条件下转炉高碳低磷工艺实践与应用

对转炉炼钢实现低铁耗和高碳低磷工艺进行了分析，介绍了南钢公司转炉炼钢实践低铁耗条件下高碳低磷工艺的具体应用措施。     

Mechanistic investigation into the electrolytic formation of iron from iron(III) oxide in molten sodium hydroxide

Iron(III) oxide tablets were electrolytically reduced to iron in molten sodium hydroxide at 530 °C and recovered to produce iron with 2 wt.% oxygen suitable for re-melting. The cell was operated at 1.7 V and an inert nickel anode was used. The thermodynamics and mechanism of the process was also investigated. By controlling the activity of sodium oxide in the melt, the cell could be operated below the decomposition voltage of the electrolyte with the net sequence of events being the ionization of oxygen, its subsequent transport to the anode and discharge leaving behind iron at the cathode. A reduction time of 1 h was achieved for a 1 g oxide tablet (close to the theoretical reduction time predicted by Faraday’s laws) at a current density of 520 mA cm⁻² with iron phase yields of ∼90 wt.%. The energy consumption was 2.8 kWh kg⁻¹.     

Efficient Legendre moment computation for grey level images

Legendre orthogonal moments have been widely used in the field of image analysis. Because their computation by a direct method is very time expensive, recent efforts have been devoted to the reduction of computational complexity. Nevertheless, the existing algorithms are mainly focused on binary images. We propose here a new fast method for computing the Legendre moments, which is not only suitable for binary images but also for grey level images. We first establish a recurrence formula of one-dimensional (1D) Legendre moments by using the recursive property of Legendre polynomials. As a result, the 1D Legendre moments of order p, L_p=L_p(0), can be expressed as a linear combination of L_p-1(1) and L_p-2(0). Based on this relationship, the 1D Legendre moments L_p(0) can thus be obtained from the arrays of L₁(a) and L₀(a), where a is an integer number less than p. To further decrease the computation complexity, an algorithm, in which no multiplication is required, is used to compute these quantities. The method is then extended to the calculation of the two-dimensional Legendre moments L_pq. We show that the proposed method is more efficient than the direct method.     

新型耐磨蚀铸造高铬钢的研制

本文设计了用于含有磨粒的强酸介质的新型耐磨蚀钢的化学成分，采用金相显微镜、Ｘ射线衍射、扫描电子显微镜、腐蚀与磨蚀试验等方法，观察与分析了钢的显微组织与磨蚀形貌，研究了新型铸造高铬钢的性能，并对其磨蚀机理进行了较为深入的探讨。试验结果表明，较高的含铬量和含碳量与适量的钼、铜的复合使用，使新型高铬钢具有比高合金化的ＺＳ２８合金更好的抗磨蚀性能，而且成本比较低，具有广阔的应用前景。     

1997年度大中型钢铁企业节能工作情况综述

第九次节能工作会议后，冶金工业掀起了节能降耗的新高潮。各企业都从本单位 实际出发，狠抓节能降耗工作，节能增效成绩显著。大中型钢铁生产企业全年节能３５０万ｔ标煤，超 出１９９７年初冶金工作会议确定的全行业节能３００万ｔ目标。创造效益２８亿元。     

近程防御系统中多空中目标威胁度分析

研究近程防御系统,快速打击威胁目标的控制是整个系统的主要问题。针对敌方空中目标批次较多、运动状态复杂,而我方防御火力有限,对目标进行有效、精确拦截,需要对目标威胁度排序,依次进行打击。为了正确识别对整个目标过程,进行定性和定量的分析判断,提出了一种行之有效的灰色关联分析的变权威胁度分析方法;进行仿真,生成空中多组动态飞行目标,采用上述算法对空中目标有效识别,并对威胁度进行排序,进行打击。实验结果与专家评估后的结果完全一致,并能够准确而快速的在战场做出决策。     

遗传优化的GNNM在瓦斯涌出量预测中的应用

研究矿井瓦斯涌出量准确预测一直是煤矿安全生产中重点关注的问题。煤层瓦斯爆炸因受开发环境、矿层深度、天气等因素的影响,造成与瓦斯涌出量增大而引起的。针对传统预测模型在矿井瓦斯涌出量预测中存在建模困难、收敛速度慢、要求历史数据量大的问题,提出了一种遗传优化的灰色神经网络预测模型。模型利用灰色系统对数据量要求低的特点,将灰色系统理论与神经网络有机结合起来,建立灰色神经网络模型。并采用遗传算法对所建立模型的权值和阈值进行优化。采用模型对矿井瓦斯涌出量进行预测,实验表明,遗传优化的灰色神经网络模型,可以简化系统建模,并能提高瓦斯涌出量预测精度,有一定的实用价值。