Aerosol Charging with a Piezoelectric Plasma Generator
Abstract
:1. Introduction
Aim of This Work
2. Materials and Methods
2.1. Diffusion Charging by Plasma Discharge
2.2. Description of the Plasma Source
2.3. Feasibility Study Bipolar Charging
2.4. Charge Distribution Measurements
2.5. Ion Density Measurement
3. Results
3.1. Feasibility Study Bipolar Charging
3.2. Charge Distribution Measurements
3.3. Ion Density Measurements
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Sample Availability
Abbreviations
AAC | Aerodynamic Aerosol Classifier |
AC | Alternating Current |
CPC | Condensation Particle Counter |
DBD | Dielectric Barrier Discharge |
DMA | Differential Mobility Analyzer |
ESP | Electrostatic Precipitator |
H | Height |
HEPA | High Efficiency Particle Air |
HV | High Voltage |
L | Length |
PCPG | Piezoelectric Cold Plasma Generator |
PDD | Piezoelectric Direct Discharge |
PN | Particle Number |
PZT | Lead Ziconite Titanate |
SMPS | Scanning Mobility Patricle Sizer |
UV | Ultra Violet |
W | Width |
Appendix A. Evaluation of Bipolar Charge Distribution Curves
- Determination of the peak heights: Each peak of the mobility spectrum corresponds to a charge fraction. The main peak, which is located at the position of the selected mobility size (set by the selector DMA), corresponds to the singly charged particle fraction. Subsequent peaks correspond to multiply charged particles. Thus, relative peak heights represent the charge fractions. Due to peak overlapping, a multi-modal Gaussian fit is applied to determine the peak heights:
- Determination of the charge distribution assuming a Gaussian distribution function: The peak heights from the mobility spectra do not include the uncharged particle fraction. Therefore, the charge distribution is assumed to be Gaussian in shape (see Figure A1) in order to be able to determine the neutral fraction:The logarithmic curve is then fitted with a 2nd-order polynomial with the fitting coefficients , and . Mean and standard deviation of the fitting curve can then be calculated from the fit coefficients as:
- Calculation of uncertainties for the charge bins acc. to [15]:
i | |||||
---|---|---|---|---|---|
0 | −26.3328 | −2.3197 | 0.0003 | −2.3484 | −44.4756 |
1 | 35.9044 | 0.6175 | −0.1014 | 0.6044 | 79.3772 |
2 | −21.4608 | 0.6201 | 0.3073 | 0.4800 | −62.8900 |
3 | 7.0867 | −0.1105 | −0.3372 | 0.0013 | 26.4492 |
4 | −1.3088 | −0.1260 | 0.1203 | −0.1553 | −5.7480 |
5 | 0.1501 | 0.0297 | −0.0105 | 0.0320 | 0.5049 |
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Krasa, H.; Schriefl, M.A.; Kupper, M.; Melischnig, A.; Bergmann, A. Aerosol Charging with a Piezoelectric Plasma Generator. Plasma 2021, 4, 377-388. https://doi.org/10.3390/plasma4030027
Krasa H, Schriefl MA, Kupper M, Melischnig A, Bergmann A. Aerosol Charging with a Piezoelectric Plasma Generator. Plasma. 2021; 4(3):377-388. https://doi.org/10.3390/plasma4030027
Chicago/Turabian StyleKrasa, Helmut, Mario A. Schriefl, Martin Kupper, Alexander Melischnig, and Alexander Bergmann. 2021. "Aerosol Charging with a Piezoelectric Plasma Generator" Plasma 4, no. 3: 377-388. https://doi.org/10.3390/plasma4030027