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Characterization of unipolar electrical aerosol chargers-Part I A review of charger performance criteria

机译:单极电动气溶胶充电器的特性-第一部分充电器性能标准的回顾

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摘要

The performance criteria of electrical aerosol chargers are reviewed in terms of charging effectiveness vs.particle losses.The occasionally subtle differences between the many existing parameters are discussed,compared and evaluated for their ability to characterize a charger completely and unambiguously on the basis of measurements external to the device.It is shown that the presence of particle losses,especially diffusive losses inside the charger,can impose significant constraints on the theoretical interpretation of such black-box measurements,especially when using implicitly loss dependent charging criteria.The influence of particle losses is analyzed in great detail on the basis of typical diffusion loss scenarios,which reveal the uncertainties in determining the true charging efficiency(inside the charger);the uncertainty in epsilon_(intr)is +-14% for 2.5 nm particles and +-3.6% for 10nm particles,respectively,while above 20 nm the uncertainty becomes negligible for typical aerosol systems at STP.A general framework for characterizing and quantitatively comparing the performance of different kinds of electrical aerosol chargers is then presented.It pairs three standardized variables for average charge per particle,charging efficiency and particle losses in a diagram,which can be applied to all possible charging scenarios ranging from partially charged to highly charged aerosols.In Part II this framework will be applied to data from the literature as well as new measurements.
机译:从充电效率与颗粒损失方面对电动气溶胶充电器的性能标准进行了回顾。讨论了许多现有参数之间的细微差异,对它们进行了比较和评估,以根据外部测量完全,明确地表征充电器的能力。结果表明,颗粒物损耗的存在,尤其是充电器内部的扩散损耗,会对这种黑匣子测量的理论解释施加重大限制,尤其是在使用隐含损耗相关的充电准则时。在典型的扩散损耗情况的基础上进行了详细分析,揭示了确定真实充电效率(在充电器内部)的不确定性;对于2.5 nm粒子,epsilon_(intr)的不确定性为+ -14%,+-3.6对于10nm颗粒,分别为%,而在20 nm以上,对于典型航空而言,不确定性可以忽略不计然后建立了一个用于表征和定量比较各种电动气溶胶充电器性能的通用框架,该框架将三个标准化变量配对成图表中的每个颗粒平均电荷,充电效率和颗粒损失,可以应用到从部分充电到高度充电的气溶胶的所有可能的充电场景。在第二部分中,该框架将应用于文献数据和新的测量。

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