为了解决宝日希勒露天矿矿井水中浊度偏高的问题,通过对其矿井出水进行电化学特性分析,测得其悬浮物颗粒粒径主要分布在0.6~0.8μm内,Zeta电位为-23^-25 m V,需选用带正电荷的混凝剂使其沉降。在此基础上优化了"聚合氯化铝(PAC)+...为了解决宝日希勒露天矿矿井水中浊度偏高的问题,通过对其矿井出水进行电化学特性分析,测得其悬浮物颗粒粒径主要分布在0.6~0.8μm内,Zeta电位为-23^-25 m V,需选用带正电荷的混凝剂使其沉降。在此基础上优化了"聚合氯化铝(PAC)+聚丙烯酰胺(PAM)"联合处理工艺,研究结果表明:选用30 mg/L PAC+0.5 mg/L PAM联合投加混凝剂的方式,出水浊度最低,可以达到10.8 NTU,浊度去除率达到95.5%;单独投加混凝剂条件下,PAC及聚合氯化铝铁(PAFC)对于水中浊度去除效果优于聚合硫酸铁(PFS),但对于水体化学需氧量(CODcr)的去除效果不及PFS,且投加3种混凝剂皆不能有效地降低水体总硬度。展开更多
The particle characteristics of 15%SiC particles reinforced metal matrix composites(MMC)made by powder metallurgy route were studied by using a statistical method.In the analysis,the approach for estimation of the cha...The particle characteristics of 15%SiC particles reinforced metal matrix composites(MMC)made by powder metallurgy route were studied by using a statistical method.In the analysis,the approach for estimation of the characteristics of particles was presented.The study was carried out by using the mathematic software MATLAB to calculate the area and perimeter of each particle, in which the image processing technique was employed.Based on the calculations,the sizes and shape factors of each particle were investigated respectively.Additionally,the finite element model(FEM)was established on the basis of the actual microstructure.The contour plots of von Mises effective stress and strain in matrix and particles were presented in calculations for considering the influence of microstructure on the deformation behavior of MMC.Moreover,the contour maps of the maximum stress of particles and the maximum plastic strain of matrix in the vicinity of particles were introduced respectively.展开更多
提出了一种基于Monte Carlo方法的多机器人自定位方法.该方法在机器人进行自定位时,对用来估计机器人位置的MCL(Monte Carlo Localization)粒子空间进行栅格划分,然后采用可变栅格法获得能代表所有粒子整体特性的特征粒子集.因为特征粒...提出了一种基于Monte Carlo方法的多机器人自定位方法.该方法在机器人进行自定位时,对用来估计机器人位置的MCL(Monte Carlo Localization)粒子空间进行栅格划分,然后采用可变栅格法获得能代表所有粒子整体特性的特征粒子集.因为特征粒子的数量较粒子总数大大减少,该方法能避免直接将Monte Carlo方法应用于多机器人定位中产生的维数灾的问题,可以在保证精度的情况下降低运算复杂度.仿真结果表明,该方法能较好地满足多机器人自定位的要求.展开更多
文摘The particle characteristics of 15%SiC particles reinforced metal matrix composites(MMC)made by powder metallurgy route were studied by using a statistical method.In the analysis,the approach for estimation of the characteristics of particles was presented.The study was carried out by using the mathematic software MATLAB to calculate the area and perimeter of each particle, in which the image processing technique was employed.Based on the calculations,the sizes and shape factors of each particle were investigated respectively.Additionally,the finite element model(FEM)was established on the basis of the actual microstructure.The contour plots of von Mises effective stress and strain in matrix and particles were presented in calculations for considering the influence of microstructure on the deformation behavior of MMC.Moreover,the contour maps of the maximum stress of particles and the maximum plastic strain of matrix in the vicinity of particles were introduced respectively.
文摘提出了一种基于Monte Carlo方法的多机器人自定位方法.该方法在机器人进行自定位时,对用来估计机器人位置的MCL(Monte Carlo Localization)粒子空间进行栅格划分,然后采用可变栅格法获得能代表所有粒子整体特性的特征粒子集.因为特征粒子的数量较粒子总数大大减少,该方法能避免直接将Monte Carlo方法应用于多机器人定位中产生的维数灾的问题,可以在保证精度的情况下降低运算复杂度.仿真结果表明,该方法能较好地满足多机器人自定位的要求.
