An Investigation of the Relationship Between the Gaussian Process Model Parameters and Surface Area in Three Dimensions

In this paper, we study the relationship between the fitted parameters in a Gaussian process (kriging) model and the complexity of the resulting response surface. This study is done for models with one response and two input variables. An analytical calculation of surface roughness is used as a measure of the complexity of the response surface fit by the Gaussian process model. Our findings indicate that the size of the fitted model parameters as measured across different fits and data sets do not give indication as to the complexity of the surface. We do, however, show that the magnitude of each of the parameters in a single fitted model gives indication about the amount of variability in the direction of that fitted parameter. Copyright © 2015 John Wiley & Sons, Ltd.     

低压铸造技术:发展历程、研究现状和未来趋势

低压铸造成型技术是现代大型薄壁复杂构件整体精密制造的重要研究方向之一。介绍了低压铸造技术的发展历程,概述了目前低压铸造技术的研究进展,重点对低压铸造充型过程和铸件合金材料的研究现状进行了综述和分析,探讨了充型过程和铸件合金材料研究中存在的问题,并提出了今后需要重点研究的方向。     

热管真空灌装封装系统研制及参数优化

热管真空灌装封装技术是制作热管的关键技术。工业上运用广泛的方法是"沸腾排气法",但该方法存在质量控制精度差和真空度不足等缺陷。常见的热管封装技术为冷焊技术,但封装过程中容易导致真空破坏。针对这些不足,研制了一种热管真空灌装封装系统:利用真空泵使热管内部实现高真空,同时利用液压装置对热管实现封装;对系统灌装封装流程进行优化设计,基于MFC编制了远程控制程序;通过实验,对液压压力进行优化,得到了最佳运行参数。该系统克服了沸腾排气法和现有冷焊技术的不足,达到较好的生产效果。     

基于改进灰狼算法的啤酒灌装PID液位控制

目的 针对啤酒罐装液位控制存在的变负荷、多模态、PID参数整定难的问题,提出一种基于改进灰狼算法的PID参数整定方法,以提高啤酒生产的工作效率。方法 对灰狼算法进行改进,使用欧式距离变化率动态调整收敛因子,平衡算法的全局搜索能力;引入动态自适应权重因子,提高算法的优化速度和精度;与基本灰狼算法比较并用测试函数验证改进算法的性能。结果 仿真结果表明,改进后的灰狼算法在收敛速度和精度上提升效果显著;改进灰狼算法整定的PID参数的上升时间为1.9s,调节时间为5.12 s,超调量为3.78%。结论 与基本灰狼算法对比,改进灰狼算法对啤酒灌装液位PID参数进行整定,调节时间快,超调较小,可以更好地满足啤酒生产的控制要求。     

数值模拟技术在气体辅助注射成型过程中的应用

基于粘性流体力学基本方程,针对气体辅助注射成型的特点,提出合理的假设并进行必要的简化,建立描述气体辅助注射成型充模流动过程的数学模型,进而采用有限元／有限差分混合算法进行数值求解。在对移动边界的处理采用控制体积法对充模过程中的两类移动边界：熔体前沿、熔体—气体边界进行跟踪,从而实现气体辅助注射成型充模过程的数值模拟。     

一个水工图形库系统(HGBS)的设计与实现

介绍了一个水工图形库系统（ＨｙｄｒａｕｌｉｃＧｒａｐｈｉｃｓＢａｓｅＳｙｓｔｅｍ）,阐述了系统的总体设计方案,并对系统中涉及的关键技术进行了讨论．     

未知环境下移动机器人遍历路径规划

为提高未知环境下移动机器人遍历路径规划的效率,提出了一种可动态调节启发式规则的滚动路径规划算法.该算法以生物激励神经网络为环境模型,通过在线识别环境信息特征,动态调用静态搜索算法和环绕障碍搜索算法,有效减少了路径的转弯次数.引入虚拟障碍和直接填充算法,解决了u型障碍区域的连续遍历问题.最后通过仿真实验表明了该方法在未知复杂环境下的有效性.     

一种对光照变化鲁棒的移动目标前景提取方法

运动目标前景提取是对其进一步分析如特征提取、行为分析等的基础。RPCA(鲁棒主成分分析)分解可以得到较为完整的目标前景,但该方法对光照变化敏感,容易导致误检。利用Lab颜色空间中a,b通道对光照变化不敏感的特点,可以提高基于RPCA分解的前景提取方法对光照变化的鲁棒性,首先对图像L,a,b通道分别进行RPCA分解得到稀疏前景,然后利用大津阈值分割各通道二值化前景并采用种子点填充技术融合不同前景,最后利用形态学滤波优化融合结果提取准确的运动目标前景。实验结果表明,该方法可以在复杂背景下准确提取运动目标前景,且能有效克服光照变化的影响。     

高分辨真三维显示中的体素化及均匀化方法

为了使基于投影的真三维显示获得径向均匀亮度,并提高有效体素数量,提出一种体素化和均匀化方法.针对体素中轴亮度高和外围亮度低的问题,分析了现有体素采样方法导致体素数量损失过多的原因;然后以二维平面填充算法替代三维体素采样,提出基于径向范围填充的体素化方法,以及基于抖动技术的均匀化方法,以修正了柱空间内体素亮度失真.实验结果证明,文中方法保留了约60％的体显示分辨率,有效体素数量达到2亿个,真三维显示样机能够在室内光环境下显示清晰且均匀的全角度立体影像.     

Development of a linear predictive model for carbon dioxide sequestration in deep saline carbonate aquifers

CO₂ injection into deep saline aquifers is a preferred method for mitigating CO₂ emission. Although deep saline aquifers are found in many sedimentary basins and provide very large storage capacities, several numerical simulations are needed before injection to determine the storage capacity of an aquifer. Since numerical simulations are expensive and time-consuming, using a predictive model enables quick estimation of CO₂ storage capacity of a deep saline aquifer. In order to create a predictive model, the ranges of variables that affect the CO₂ storage capacity were determined from published literature data. Correlations found in literature were used for other important parameters such as pore volume compressibility and density of brine. Latin hypercube space filling design was used to construct 100 simulation cases prepared using CMG STARS. The simulation period covered a total of 300 years of CO₂ storage. By using a least-squares method, linear and nonlinear predictive models were developed to estimate CO₂ storage capacity of deep saline carbonate aquifers. Numerical dispersion effects were considered by decreasing the grid dimensions. It was observed that a dimensionless linear predictive model is better than the nonlinear. The sensitivity analyses showed that the most important parameter that affects CO₂ storage capacity is depth. Most of the (up to 90%) injected gas dissolved into the formation water and a negligible amount of CO₂ reacted with carbonate.