实施船板战略,提高船板生产能力

船板战略是济钢实施从市场信息、获取订单到合同兑现全过程的管理新模式。济钢中板厂实施船板战略,采取对设备薄弱环节进行改进,优化船板生产工艺和控制轧制工艺等措施,提高了船板的产量和质量,船板一次合格率达到99．63％,2006年产量达到43．77万t,其中高强度船板达到5．53万t。     

可重构高速数据加密系统设计和实现

为解决SM4传统加解密方式存在的速度慢、效率低、占用CPU计算资源的问题,提出了一种可重构高速数据加密系统。该系统基于Xilinx Virtex UltraScale VU9p FPGA,利用PCIe热插拔特性,可快速应用于办公主机或服务器,通过PCIe高速接口实现数据的快速传输,在FPGA内实现并行可调度SM4算法逻辑,设计有专用DMA模块,实现旁路主机CPU传输明文密文,减少主机端资源占用;采用FPGA实现的加解密系统具备可重构性,大大降低了算法迭代的硬件成本。系统分析测试和实验结果表明,该系统实现了数据的高速可靠传输与加密,总线速率达到8GT/s,能有效满足大容量数据快速加解密的需求;采用并行可调度流水线加解密,较CPU实现方式,加解密速率提升约25.78倍。     

热处理炉温度模型算法与实现

为了对热处理炉的加热温度进行优化和控制,提高自动化程度及加热质量,有效降低能源消耗,运用热处理炉温度模型的设计,根据对流和辐射的原理,着重介绍了热处理炉控制系统温度模型的算法及应用原理,详细说明了算法设计思想和计算等。同时与PLC的数据接口以及报文传送内容进行了设计和解释,描述了模型算法流程及温度模型的实现。     

再生颤振的稳定性模型研究

在刀具和工件之间产生的自激颤振不仅影响工件的表面粗糙度和加工精度,而且对刀具寿命有不利影响,甚至无法进行切削加工,这就直接影响生产效率的提高。本文对切削颤振的稳定性模型进行了研究,推导出了稳定切削极限条件下,主轴转速和轴向切深的关系表达式,并用Matlab进行了仿真计算。     

润滑液在热态轧制中的研究与应用

论述了在热轧时,润滑液对轧制过程中诸要素包括对轧辊、轧件表面氧化铁皮、轧件基体等方面的影响,特别是对轧件表面氧化铁皮的影响进行了深入的研究。     

基于BIM的抗震支吊架编码体系与智能设计研究

结合国内外相关标准,对抗震支吊架进行分类与编码体系研究,补充建立了抗震支吊架编码体系。基于BIM技术建立抗震支吊架参数化构件库,通过数据驱动完成了典型构件库的数据架构。以Revit软件为平台,通过API二次开发技术,对抗震支吊架进行智能布置与编码,并实现自动生成二维码、导出物料清单等功能。     

地道风的空气源热泵在寒区应用研究

针对寒冷地区普通空气源热泵在该地区冬季使用时制热量衰减、室外极易结霜等缺点,提出以地道风作为空气源热泵的低位热源。以济南市为例,采用DeST软件对寒冷地区冬季气象条件进行了模拟分析,并根据换热模型计算得出了埋深6m的地道出口空气温湿度的变化值。结果表明,与普通空气源热泵相比,基于地道风的空气源热泵不仅可以充分利用土壤层储存的自然热量,还可以有效地提高热泵的性能系数,避免热泵的结霜,节能效果显著。     

基于蓄能除霜的空气源热泵系统分析

针对空气源热泵在除霜时室内环境热舒适性恶化、机组除霜可靠性差和运行不稳定等问题,提出空气源热泵蓄能除霜新技术。建立了蓄能除霜系统的理论分析模型,并与传统供热系统作对进行了经济性分析,对传统除霜系统与蓄能除霜系统的除霜特性进行了对比实验并进行除霜性能分析,实验结果充分表明了蓄能除霜系统的优越性。     

A natural ventilation wind tower with heat pipe heat recovery for cold climates

Commercial wind towers are passive ventilation technology based on traditional wind towers of the Middle East. Typical operation of wind towers in cold – mild climates is generally limited to summer-seasons as the outdoor air is too cold to be introduced into spaces for the majority of the year. In addition, the use of natural ventilation solutions has been seen to increase heat loss in buildings and lead to increased energy cost. Wind towers are normally shut down for the sake of avoiding indoor heating energy losses during winter months. Consequently, the concentration of pollutants has seen to rise above the guideline levels, which can lead to ill health. To improve the year-round capabilities of wind towers, a heat recovery system utilising the combination of heat pipes and heat sink was incorporated into a multi-directional wind tower. This study investigates the potential of this concept through the use of numerical analysis and wind tunnel experiments for validation. The findings showed that the wind tower with heat pipes was capable of meeting the required ventilation rates above an inlet air velocity of 1 m/s. In addition to sufficient ventilation, the integration of heat pipes had a positive effect on thermal performance of the wind tower; it raised the supply air by up to 4.5 K. The technology presented here is subject to a patent application (PCT/GB2014/052263).     

Slow feature analysis for monitoring and diagnosis of control performance

Recently, slow feature analysis (SFA), a novel dimensionality reduction technique, has been adopted for integrated monitoring of operating condition and process dynamics. By isolating temporal behaviors from steady-state information, the SFA-based monitoring scheme enables improved discrimination of nominal operating point changes from real faults. In this study, we demonstrate that the temporal dynamics is an additional indicator of control performance changes, and further exploit its unique efficacy in control performance monitoring. Because of its data-driven nature and ease from first-principle knowledge, the SFA-based monitoring scheme allows an overall assessment of the plant-wide control performance and is compatible with different control strategies. An attractive feature of the SFA-based approach compared to existing ones is that generic process monitoring indices are used, which renders contribution plots naturally applicable to real-time diagnosis of control performance. As a result, potential fault variables as root causes of control performance changes can be identified, including not only controlled variables (CV) but also manipulated variables (MV) and disturbance variables (DV). Simulated and experimental studies demonstrate the effectiveness of the proposed method.