水合抛光加工的运动学特性

建立了旋摆驱动方式下水合平面抛光过程中工件的运动学模型,揭示了抛光盘开孔方式对蓝宝石衬底的水合抛光均匀性影响规律。旋摆驱动条件下,杉木抛光盘的开孔方式对蓝宝石衬底水合抛光加工全局均匀性和局部均匀性具有重要的作用,局部均匀性的阶梯状分布为直线、圆环和螺旋线开孔方式的共性特征。与直线、圆环开孔方式相比,在一定的参数取值条件下,螺旋线开孔方式可更好地实现水合抛光加工的全局均匀性和局部均匀性要求。     

冷轧机支承辊换辊新型自动撞钩装置

介绍一种可在地面上操作即可摘钩的冷轧机支承辊换辊自动撞钩装置。     

基于遗传BP神经网络的工艺卡片翻译系统研究

工艺卡片翻译是机器翻译在计算机辅助工艺设计（CAPP）中的一种应用，是制造企业进行国际化合作的需求。针对工艺卡片翻译的复杂性和多样性，应用BP神经网络的学习和自调节特性建立了一种类标准化和规则化的机器翻译系统，提出了一种基于遗传BP神经网络的算法流程和网络模型，利用遗传算法快速收敛的全局寻优特性改造传统BP网络，以提高工艺卡片翻译的速度和效率。     

飞机机翼微小创伤修复模具的设计

针对飞机机翼被鸟击后的快速修复提出了简便、经济、精确的精模衬垫微敲修复法,该方法的关键是衬模设计,为此分析了机翼微小创伤的修复原理,提出了三种修复方案,并对比其优缺点,最终以木质叠板为衬模材料,三坐标测量仪为数据获取工具,数控铣床及磨床为加工设备的理念完成机翼衬模的设计,并得到实际应用验证,其结果良好能够满足修复要求。     

Camera接口控制器的ASIC设计与实现

介绍了Camera接口控制器的基本功能和工作原理,详细阐述了该控制器的设计架构,重点介绍了数据接收控制模块和数据输出控制模块的设计思路。在用Verilog语言实现整个设计的基础上,运用编译仿真工具进行功能仿真,利用SIMC 65 nm工艺库和综合工具对其综合。经过FPGA验证,确保该控制器作为一个独立的IP核可嵌入到ASIC系统中。     

The moderation effects of mobile technology advancement and system barrier on m-commerce channel preference behavior

Information Systems and e-Business Management - Mobile commerce, or m-commerce, has quickly become a powerful, indispensable approach for diverse business to consumer (B2C) industries to secure...     

数字化羊绒测色法及其在长度测量中的应用

针对光电法测试纤维长度等性质时,存在纤维的透光及反光信号与颜色高度相关的问题,采用数字化方法表征羊绒的颜色类别并精准地测量羊绒的长度。将彩色光电耦合器作为测色传感器,搭建了更适合纤维材料的测色装置;通过颜色模型在3种色空间的转换,得到3类颜色的羊绒在三维色空间的分布;基于系列实验,创建了有色羊绒的光学参数即无穷厚时的表观反射率表观反射率与测色装置计算的亮度指标之间的换算模型,并用实验证明采用测得的表观反射率可计算得到准确的须丛线密度曲线,从而可用光电法精准测量有色羊绒的长度。结果表明,该测色方法的测样面积大,代表性好,成本低,同时可用于其他纤维和纺织品的颜色测量。     

Functional networks as a new data mining predictive paradigm to predict permeability in a carbonate reservoir

Permeability prediction has been a challenge to reservoir engineers due to the lack of tools that measure it directly. The most reliable data of permeability obtained from laboratory measurements on cores do not provide a continuous profile along the depth of the formation. Recently, researchers utilized statistical regression, neural networks, and fuzzy logic to estimate both permeability and porosity from well logs. Unfortunately, due to both uncertainty and imprecision, the developed predictive modelings are less accurate compared to laboratory experimental core data. This paper presents functional networks as a novel approach to forecast permeability using well logs in a carbonate reservoir. The new intelligence paradigm helps to overcome the most common limitations of the existing modeling techniques in statistics, data mining, machine learning, and artificial intelligence communities. To demonstrate the usefulness of the functional networks modeling strategy, we briefly describe its learning algorithm through simple distinct examples. Comparative studies were carried out using real-life industry wireline logs to compare the performance of the new framework with the most popular modeling schemes, such as linear/nonlinear regression, neural networks, and fuzzy logic inference systems. The results show that the performance of functional networks (separable and generalized associativity) architecture with polynomial basis is accurate, reliable, and outperforms most of the existing predictive data mining modeling approaches. Future work can be achieved using different structure of functional networks with different basis, interaction terms, ensemble and hybrid strategies, different clustering, and outlier identification techniques within different oil and gas challenge problems, namely, 3D passive seismic, identification of lithofacies types, history matching, rock mechanics, viscosity, risk assessment, and reservoir characterization.     

Preparation of ractopamine-tetraphenylborate complexed nanoparticles used as sensors to rapidly determine ractopamine residues in pork

In this work, we reported a simple, fast, and sensitive determination of ractopamine (RAC) residues in pork by using novel ractopamine-tetraphenylborate complexed nanoparticles (RT NPs) as sensors. The prepared RT NPs exhibited a fast response time of 10 s, a wide linear range from 0.1 to 1.0 × 10⁻⁷ mol/L, and a very low detection limit of 7.4 × 10⁻⁸ mol/L. The prepared sensor also presents a high selectivity for ractopamine under different pH conditions ranged from 2.85 to 7.18. These results reveal that the fabricated RT NPs can be used as efficient electrochemical sensors to determine ractopamine in animal productions.     

快堆核电厂热力系统加热器设计方案热经济性分析

核电厂热力系统设计需在保证安全性的前提下尽量提高经济性。经济性的影响因素较多，包括技术成熟度、设备成熟度以及系统热经济性等。为了从热经济性的角度确定最优的快堆核电厂热力系统加热器配置，以俄方800 MW钠冷快堆热力系统为参考，基于热平衡分析法建立了适用于快堆核电厂的加热器、立式汽水分离再热器等设备的热力分析模型，进而开发了快堆核电厂热力系统热经济性分析程序，利用俄方设计计算值进行了程序验证。利用新开发的程序研究了不同加热器布置方案、给水焓升分配方案，确定了等焓降分配法的给水焓升分配方案热经济性最好。