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A statistical analysis of an ionic air moving device for the optimization of geometry.

机译:离子风动装置的统计分析,用于优化几何形状。

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摘要

Ionic air moving devices are similar to fans and blowers but move ionized air molecules between electrodes with a high electric field. Steady air flow is generated from the transfer of momentum when charged molecules collide with uncharged molecules. Ionic air moving devices are seen as less efficient as fans and blowers. The optimization of the device's geometry can increase its output efficiency. In optimizing the geometry of an ionic air moving device the literature suggests that varying the parameters of the number of ionization sites, the distance between the ionization sites and the collector, the height of the collector, and the voltage influences the air flow of the device [1-5]. In the current study, an analysis of the parameters though the use of design of experiments statistically showed which factors significantly influences the air flow. The ionic air moving devices parameters were statistically evaluated with the use of MinitabRTM. The distance between the electrodes, and the voltage were shown to be significant and to have the most effect on the ionic device in terms of air flow.
机译:离子空气移动装置类似于风扇和鼓风机,但在具有高电场的电极之间移动离子化空气分子。当带电分子与不带电分子碰撞时,动量传递会产生稳定的气流。离子空气移动装置的效率不如风扇和鼓风机。设备几何形状的优化可以提高其输出效率。在优化离子空气移动设备的几何形状时,文献表明,改变电离位的数量,电离位与收集器之间的距离,收集器的高度以及电压等参数会影响设备的气流[1-5]。在当前的研究中,通过使用实验设计对参数进行了分析,统计表明了哪些因素会显着影响气流。使用MinitabRTM对离子空气移动设备的参数进行统计评估。电极之间的距离和电压显示出很大的影响,并且就空气流量而言,对离子设备的影响最大。

著录项

  • 作者

    Henson, Adam Robert.;

  • 作者单位

    Western Carolina University.;

  • 授予单位 Western Carolina University.;
  • 学科 Engineering.;Statistics.
  • 学位 M.S.
  • 年度 2015
  • 页码 134 p.
  • 总页数 134
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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