• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>World Congress on Particle Technology >Comparative study on the characterization method of particle mixing index using DEM method
【24h】

Comparative study on the characterization method of particle mixing index using DEM method

机译：DEM法对粒子混合指数表征方法的比较研究

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Different methods of particle mixing index are summarized in detail, such as average height method, nearest neighbour method,neighbour distance method, Lacey method, mixing entropy method, coordination number method, particle-scale index methodand Siiria method. All these particle mixing indexes are calculated in two classical particle related process, that are the rotatingdrum and the spouted bed based on simulation results using DEM method. Then the comparative analysis of different kinds ofparticle mixing index is given in different aspects, such as calculation complexity, parameter dependency, grid dependency, colordependency and direction dependency. The performances of different particle mixing indexes are evaluated, the advantages anddisadvantages of different indexes are pointed out, and the recommendation adaptation ranges are given finally. General speaking,the neighbour distance method seems as the best choice for studying the particle mixing process because of its superiorperformance.
机译：颗粒混合指数的不同方法详细概述，如平均高度法，最近的邻近方法，邻居距离方法，蕾丝法，混合熵方法，协调数法，粒子级指数法和Siiria方法。所有这些颗粒混合指标都在两个经典颗粒相关过程中计算，即基于使用DEM方法的仿真结果的旋转床和喷出的床。然后在不同方面给出不同种类的分子混合指数的比较分析，例如计算复杂性，参数依赖性，网格依赖性，Colordepencyency和方向依赖性。评估不同颗粒混合指标的性能，指出了不同索引的优点and adisadyAspers，并且最终给出了推荐适应范围。一般说话，邻居距离方法似乎是研究颗粒混合过程的最佳选择，因为其优越性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号