宣钢45钢连铸中包钢水温度波动的研究

对宣钢生产45钢时连铸过程中中包钢水温度的波动情况进行了调查,对其影响因素进行了分析,提出了改善中包钢水稳定性的措施。     

SPHC钢连铸温度制度的确定

对梅山生产的465炉SPHC钢连铸中包钢水过热度精炼出站到连铸中包钢水温降值进行了全面分析,结合中包钢水过热度与铸坯质量及生产操作的关系,提出了适合SPHC钢精炼出站温度。     

宣钢45钢连铸中包钢水温度波动研究

研究了宣钢生产45钢时连铸过程的中包钢水温度波动，对其影响因素进行了分析，提出了改善中包钢水温度稳定性的措施。     

宝钢分公司一炼钢IF钢中间包钢水全氧含量影响因素分析

对影响宝钢分公司一炼钢IF钢连铸中间包钢水全氧含量的几个因素进行了相关性分析,提出了在实际生产过程中实现中间包钢水T[O]≤35×10-4%的建议.     

宝钢炼钢厂连铸中间包钢水温度的研究

对宝钢炼钢厂中间包钢水进行了连续测温试验,分析了连续测温和点测温度测试结果及中间包钢水温度变化规律,点测温度不能真实反映包换浇时中间包钢水温度的变化规律,可采用连续测温加解决。     

涟钢210转炉厂超低碳钢全氧控制技术

对影响涟钢210转炉厂超低碳钢连铸中间包钢水全氧含量的几个工艺因素进行了分析,提出了在实际生产过程中实现中间包钢水T〔O〕≤30ppm的关键工艺参数,并将其应用实际生产过程进行了验证。     

LF搅拌模型的研究

以包钢炼钢厂８３吨包精炼炉为原型，通过水模型实验，对包钢现吹氩的合理性进行了分析和探讨，提出了包钢ＬＦ较佳底吹气搅拌位置及吹氩制度。     

包钢废水污染状况及总排水综合治理设想

本文叙述了包钢厂区废水状况，给出了十年来包钢废水排放量及污染物排放量的变化状况，并根据包钢钢铁双６００万吨发展规划对实现钢铁双６００万吨时的供排水量进行预测，而后对包钢总排水综合治理的可行性进行了论述，提出了包钢总排污水自理厂的自理工艺流程设想，相应的回用方案及需改进的管理措施。     

包钢高炉煤气洗涤水除氰处理

为保证包钢总排水氰化物达标外排，包钢给水厂经试验确认后，对高炉煤气洗涤水系统的盈水采和碱性氧化法进行除氰治理，取得了较好的效果，保护了水资源。     

回归法在中间包钢水温度预测模型中的应用

连铸中间包内钢水温度是炼钢生产过程的重要工艺参数之一，通过对宝钢炼钢部60t中间包钢水温度的测试，得出了中间包钢水温度变化规律，并利用回归设计建立起中间包钢水温度数学模型。     

银含量对方铅矿浮选的影响及其机理研究进展

为了阐明银含量对方铅矿浮选的影响,提高含银方铅矿中伴生银的综合回收效率,通过全面梳理前人研究成果,对含银方铅矿的资源状况、工艺流程和药剂制度进行了总结。首先,从不同维度和层面（从试验到模拟、从宏观到微观）综述了银含量对方铅矿的影响,其中包括银含量对方铅矿浮选行为及表面接触角的影响。然后,评述了前人利用红外光谱、微热动力学、电化学和量子化学等分析方法开展的有关银含量对方铅矿浮选行为影响机理的研究进展,上述分析方法相互验证,均证实银矿物对方铅矿的浮选有促进作用,且银含量与促进程度呈正相关。最后,针对含银方铅矿今后研究方向和银铅锌矿资源开发,提出科学、合理的建议,如：在现场生产中应尽量避免使用石灰调浆,如必须使用时,应控制好石灰用量,从而减少伴生银的损失。     

Measuring students' connectedness to school, teachers, and family: Validation of three scales.

Connectedness to school, teachers, and family are all significant protective factors in adolescents' lives, yet the measurement of each varies considerably. This article describes the measurement properties of three composite scales of adolescent connectedness, adapted from the Add Health study and the California Healthy Kids Survey. These composite scales are created by either summing or taking the mean of all individual items, measured on an ordinal scale. This approach fails to account for the ordinal, non-normal nature of the data. Using a covariance approach, this article describes the measurement properties of the latent constructs of connectedness to school, teachers, and family and the contribution of each of the items used to compile the relevant composite score. The outcomes of this study will provide researchers and practitioners with information about the validity, reliability, and overall usefulness of each of the measures of adolescents' perception of their connectedness to school, teachers, and family. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

火焰原子吸收光谱法测定合金结构钢中铬、锰

利用火焰原子吸收光谱法测定合金结构钢中铬、锰,此方法快速、准确、灵敏度高、精密性好,方法简便,并充分反应了现代仪器的高科技分析手段。合金结构钢使用较为广泛,因此利用原于吸收光谱法测定铬、锰,能迅速有效的达到检测目地的需要。本方法改变了以往化学法操作时间长、步骤多、消耗试剂多的弊病,解决了高氯酸氧化铬对人体的危害及对环境的严重污染。通过对各项做条件试验,优选了最佳仪器测试条件。对干扰元素铁、镍抑制铬的吸收,采用硫酸钠做干扰消除剂,彻底消除了干扰,测定数据稳定可靠。经过对标准样品的测定,重复性好,误差小,回收率达到99～102%,效果令人满意。     

Leaching Behavior of Lead, Chromium (III), and Zinc in Cement/Metal Oxides Systems

This paper reports the study of the leaching behavior of cement/metal oxides mixtures containing lead, chromium (III) and zinc oxides. A fractional factorial design of experiments (24?1) was carried out considering four factors, the concentration of ZnO, Cr2O3, PbO, and Fe2O3 in the formulations. Iron oxide was also included in the experimental design as it is usually the main constituent of industrial wastes from thermal processes, where lead, chromium and zinc oxides are also found. After 56 days of curing, samples were subjected to the Acid Neutralization Capacity Test and the concentrations of Cr, Zn, and Pb were determined in the leachate at different pH after filtering. The output variables for the analysis of the experimental data were the concentration of metals at initial pH (in water), at pH 9, 7, and 4, and the acid neutralization capacity of the samples at pH 9. The analysis of the results indicates that the immobilization of Zn and Pb in Portland cement is poor; these metals behave as their amphoteric hydroxides. However, the leaching of Cr (III) is in the range found in the control sample, indicating that the stabilization of Cr (III) is successful.     

Reservoir Bank Deformation Modeling: Application to Grangent Reservoir

Within inshore or fluvial environments, submerged fine matter mud banks are characterized by a high water content, a great spatial variability, and a strong deformability. The study of their instabilities induced by the variation of hydraulic stress requires a coupled modeling of sliding, erosion, and deposition mechanisms. In order to predict the impact of dam reservoir emptying on the stability of immersed upstream slopes, the method of approach to the problem proposed here combines theoretical developments, numerical modeling, site observations, and measurements. First, the theoretically achieved sliding criterion is compared with unstable mud height measurements. For more accuracy in the representation of the natural events, the sliding criterion is then integrated within a numerical code which couples the computation of hydrodynamic conditions, the erosion, and deposition of mud and the banks sliding. Finally, the results of the combination of all these mechanisms are compared with the variations in the bathymetric profiles obtained on the experimental site.     

Al2O3对酒钢低铝渣黏度的影响及热力学分析

为进一步分析Al2O3含量对低铝渣黏度的影响,以酒钢高炉渣成分为基础,通过试验和FactSage热力学软件分别研究了不同Al2O3含量炉渣的黏度、液相线温度、活度和冷却结晶过程的物相变化。结果表明,在本试验的低铝渣范围内,随Al2O3含量增加,炉渣黏度增大,在1 450 ℃以上黏度低于0.45 Pa·s,炉渣流动性和稳定性良好。Al2O3活度随Al2O3含量的增加而增大,相反,SiO2活度降低也证明炉渣聚合度的增大。炉渣的冷却结晶过程则表明,在液相线温度以上时,炉渣黏度主要与炉渣结构的复杂程度有关;在液相线温度以下时,黏度受液相炉渣结构和固相颗粒含量的共同影响。     

保护渣对430不锈钢铸坯边部凹陷缺陷的影响

针对太钢430不锈钢铸坯边部凹陷严重的问题,采用Gleeble 3800、高温原位分析仪、黏度分析仪等技术手段,系统研究430铸坯边部凹陷缺陷的产生机理和保护渣性能对边部凹陷的影响规律。研究结果表明,430铸坯边部凹陷缺陷的主要原因与保护渣的控制传热有关。保护渣碱度过小,结晶能力弱,坯壳在结晶器内冷却强度大,凝固收缩带来较大的角部扭动力而产生边部凹陷,此时铸坯边部凹陷主要发生在结晶器内;保护渣碱度过大,结晶能力强,铸坯冷却强度不够,出结晶器的坯壳厚度薄,在钢水静压力的作用下铸坯宽度产生延展效应,导致后续产生较大的凝固收缩而形成边部凹陷,此时铸坯边部凹陷主要发生在二冷阶段。保护渣碱度控制为1.00,保护渣的结晶能力适宜,既避免了结晶器内强冷带来的铸坯凹陷,又保证了出结晶器坯壳足够的厚度和强度,最终使铸坯边部凹陷深度由1.26 mm降低至0.30 mm,显著改变了铸坯表面质量。     

MgO对烧结矿液相形成性能和微观结构特性的影响

为了探究MgO对烧结矿液相形成性能和微观结构特性的影响,采用Factsage 7.1热力学软件模拟分析了MgO对烧结矿液相形成性能的影响,并且开展了不同MgO含量的烧结杯试验研究。研究表明,随着MgO含量增加,烧结矿理论液相生成量减少,液相黏度降低,液相中w(Fe₂O₃)/w(CaO)增加,使得混合料中CaO的活度提高,铁酸钙相形成的热力学条件改善;当MgO质量分数由1.60%提高至1.90%,一方面,烧结矿矿相组成中枝晶状铁酸钙相含量增加,针状及板柱状铁酸钙相发展受到抑制,铁酸钙黏结相总量降低,硅酸盐相含量增加,导致液相黏结包裹矿粉颗粒能力变差,固结强度性能受到不利影响;另一方面,由于MgO是高熔点物质,矿化反应过程中,MgO易固溶进入磁铁矿晶格,并在高温固相反应中形成难熔物相,使得烧结矿磁铁矿相含量增加,赤铁矿相含量减少,从而降低烧结矿低温还原反应过程中产生的晶格结构畸变应力,改善低温还原粉化性能。     

Impressions of psychotherapists' offices.

For counseling settings, research suggests that softness, personalization, and order might affect the experience and the perceived expertness, trustworthiness, and social attractiveness of the therapist. This article discusses exploratory studies on college students' perception of the counseling office environment and whether the likely client experience was associated with the softness/personalization and order of the office. As stimuli, the studies used 30 color photographs of psychotherapists' offices viewed from the client's perspective. After obtaining ratings of the characteristics of each office, we obtained ratings from different groups of students of the quality of care and comfort expected in each office (Study 1) and how qualified, bold, and friendly the therapist in the office would be (Study 2). Additional studies examined the likelihood of choosing a therapist based on the office, and the first thought or feeling that came to mind about the office, the therapist, and the patient experience. There were strong correlations in response between groups (by whether they had experienced therapy; their level in school; their gender; and their major, location, and school size). The quality of care, comfort, therapist boldness, qualifications of the therapist, and the likelihood that one would choose a therapist based on the office improved with increases in the office's softness/personalization and order. Friendliness improved with increases in softness/personalization. The office choices, open-ended responses, and reported reasons for the ratings confirmed the importance of softness (comfort) and order. Research should test longer term exposure and behavior. (PsycINFO Database Record (c) 2011 APA, all rights reserved)     

基于机器学习的钢铁轧制过程性能预测

 为了实现快速的热轧工艺优化设计,基于工业数据的钢铁材料性能预测引起了研究者的极大关注,对利用机器学习进行钢铁材料轧制过程性能预测的研究进展进行了梳理。首先介绍了钢铁材料轧制过程性能预测常用的主流机器学习算法,其中包括人工神经网络、模糊神经网络、支持向量机、随机森林、智能优化算法等。其次,分别对钢铁材料轧制过程性能预测建模方法研究进展和模型应用情况进行了综述。最后,对钢铁轧制过程性能预测研究进行了展望,指出了数据质量的改善、小样本数据建模、建模数据加密、模型可解释性研究、钢铁材料组织预测和利用模型进行有效的工艺优化设计等可能发展方向。