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Статті в журналах з теми "Particle size distribution":

1

Lin, Hsin-Yi, Der-Jen Hsu, and Jia-Shan Su. "Particle Size Distribution of Aromatic Incense Burning Products." International Journal of Environmental Science and Development 6, no. 11 (2015): 857–60. http://dx.doi.org/10.7763/ijesd.2015.v6.712.

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2

Vítěz, T., and P. Trávníček. "Particle size distribution of sawdust and wood shavings mixtures." Research in Agricultural Engineering 56, No. 4 (December 2010): 154–58. http://dx.doi.org/10.17221/8/2010-rae.

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Particle size distribution of the sample of waste sawdust and wood shavings mixtures were made with two commonly used methods of mathematical models by Rosin-Rammler (RR model) and by Gates-Gaudin-Schuhmann (GGS model).On the basis of network analysis distribution function F (d) (mass fraction) and density function f (d) (number of particles captured between two screens) were obtained. Experimental data were evaluated using the RR model and GGS model, both models were compared. Better results were achieved with GGS model, which leads to a more accurate separation of the different particle sizes in order to obtain a better industrial profit of the material.
3

Nauman, E. Bruce, and Timothy J. Cavanaugh. "Method of Calculating True Particle Size Distributions from Observed Sizes in a Thin Section." Microscopy and Microanalysis 4, no. 2 (April 1998): 122–27. http://dx.doi.org/10.1017/s1431927698980102.

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Particle size distributions obtained from a thin section are usually a skewed version of the true distribution. A previous method for determining the parent distribution was questionable because negative particle frequencies could be obtained. Here, we describe a method of determining parent distributions of spherical particles using a model with adjustable parameters. Our calculated distributions are somewhat broader than the distributions obtained with previous methods, but the average particle sizes are nearly identical. The newly developed model is applicable to any type of transmission microscopy.
4

Pfeifer, Sascha, Thomas Müller, Kay Weinhold, Nadezda Zikova, Sebastiao Martins dos Santos, Angela Marinoni, Oliver F. Bischof, et al. "Intercomparison of 15 aerodynamic particle size spectrometers (APS 3321): uncertainties in particle sizing and number size distribution." Atmospheric Measurement Techniques 9, no. 4 (April 2016): 1545–51. http://dx.doi.org/10.5194/amt-9-1545-2016.

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Abstract. Aerodynamic particle size spectrometers are a well-established method to measure number size distributions of coarse mode particles in the atmosphere. Quality assurance is essential for atmospheric observational aerosol networks to obtain comparable results with known uncertainties. In a laboratory study within the framework of ACTRIS (Aerosols, Clouds, and Trace gases Research Infrastructure Network), 15 aerodynamic particle size spectrometers (APS model 3321, TSI Inc., St. Paul, MN, USA) were compared with a focus on flow rates, particle sizing, and the unit-to-unit variability of the particle number size distribution. Flow rate deviations were relatively small (within a few percent), while the sizing accuracy was found to be within 10 % compared to polystyrene latex (PSL) reference particles. The unit-to-unit variability in terms of the particle number size distribution during this study was within 10 % to 20 % for particles in the range of 0.9 up to 3 µm, which is acceptable for atmospheric measurements. For particles smaller than that, the variability increased up to 60 %, probably caused by differences in the counting efficiencies of individual units. Number size distribution data for particles smaller than 0.9 µm in aerodynamic diameter should only be used with caution. For particles larger than 3 µm, the unit-to-unit variability increased as well. A possible reason is an insufficient sizing accuracy in combination with a steeply sloping particle number size distribution and the increasing uncertainty due to decreasing counting. Particularly this uncertainty of the particle number size distribution must be considered if higher moments of the size distribution such as the particle volume or mass are calculated, which require the conversion of the aerodynamic diameter measured to a volume equivalent diameter. In order to perform a quantitative quality assurance, a traceable reference method for the particle number concentration in the size range 0.5–3 µm is needed.
5

Pfeifer, S., T. Müller, K. Weinhold, N. Zikova, S. Santos, A. Marinoni, O. F. Bischof, et al. "Intercomparison of 15 aerodynamic particle size spectrometers (APS 3321): uncertainties in particle sizing and number size distribution." Atmospheric Measurement Techniques Discussions 8, no. 11 (November 2015): 11513–32. http://dx.doi.org/10.5194/amtd-8-11513-2015.

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Abstract. Aerodynamic particle size spectrometers are a well-established method to measure number size distributions of coarse mode particles in the atmosphere. Quality assurance is essential for atmospheric observational aerosol networks to obtain comparable results with known uncertainties. In a laboratory study within the framework of ACTRIS (Aerosols, Clouds, and Trace gases Research Infrastructure Network), 15 aerodynamic particle size spectrometers (APS model 3321, TSI Inc., St. Paul, MN, USA) were compared with a focus on flow rates accuracy, particle sizing, and unit-to-unit variability of the particle number size distribution. Flow rate deviations were relatively small (within a few percent), while the sizing accuracy was found to be within 10 % compared to polystyrene latex (PSL) reference particles. The unit-to-unit variability in terms of the particle number size distribution during this study was within 10–20 % for particles in the range of 0.9 up to 3 μm, which is acceptable for atmospheric measurements. For particles smaller than that, the variability increased up to 60 %, probably caused by differences in the counting efficiencies of individual units. Number size distribution data for particles smaller than 0.9 μm in aerodynamic diameter should be only used with caution. For particles larger than 3 μm, the unit-to-unit variability increased as well. A possible reason is an insufficient sizing accuracy in combination with a steeply sloping particle number size distribution and the increasing uncertainty due to decreasing counting. This uncertainty of the particle number size distribution has especially to be considered if higher moments of the size distribution such as the particle volume or mass are calculated, which require the conversion of the aerodynamic diameter measured to a volume equivalent diameter. In order to perform a quantitative quality assurance, a traceable reference method for the particle number concentration in the size range 0.5–3 μm is needed.
6

Kontkanen, Jenni, Chenjuan Deng, Yueyun Fu, Lubna Dada, Ying Zhou, Jing Cai, Kaspar R. Daellenbach, et al. "Size-resolved particle number emissions in Beijing determined from measured particle size distributions." Atmospheric Chemistry and Physics 20, no. 19 (October 2020): 11329–48. http://dx.doi.org/10.5194/acp-20-11329-2020.

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Abstract. The climate and air quality effects of aerosol particles depend on the number and size of the particles. In urban environments, a large fraction of aerosol particles originates from anthropogenic emissions. To evaluate the effects of different pollution sources on air quality, knowledge of size distributions of particle number emissions is needed. Here we introduce a novel method for determining size-resolved particle number emissions, based on measured particle size distributions. We apply our method to data measured in Beijing, China, to determine the number size distribution of emitted particles in a diameter range from 2 to 1000 nm. The observed particle number emissions are dominated by emissions of particles smaller than 30 nm. Our results suggest that traffic is the major source of particle number emissions with the highest emissions observed for particles around 10 nm during rush hours. At sizes below 6 nm, clustering of atmospheric vapors contributes to calculated emissions. The comparison between our calculated emissions and those estimated with an integrated assessment model GAINS (Greenhouse Gas and Air Pollution Interactions and Synergies) shows that our method yields clearly higher particle emissions at sizes below 60 nm, but at sizes above that the two methods agree well. Overall, our method is proven to be a useful tool for gaining new knowledge of the size distributions of particle number emissions in urban environments and for validating emission inventories and models. In the future, the method will be developed by modeling the transport of particles from different sources to obtain more accurate estimates of particle number emissions.
7

Ferguson, J. R., and D. E. Stock. "“Heavy” Particle Dispersion Measurements With Mono- and Polydisperse Particle Size Distributions." Journal of Fluids Engineering 115, no. 3 (September 1993): 523–26. http://dx.doi.org/10.1115/1.2910170.

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A method is presented to estimate the effects of a polydisperse particle size distribution on the measured turbulent dispersion of particles. In addition, the analysis provides a means to estimate the standard deviation of the size distribution for which a class of particles may be considered monodisperse. If monodisperse particles are unavailable because of practical considerations (e.g., the required standard deviation of particle size is too small to obtain a sufficient quantity) then the method provides a means to correct the data of near monodisperse size distributions to reflect the dispersion of monodisperse particles.
8

Ensor, David, Robert Donovan, and Bruce Locke. "Particle Size Distributions in Clean Rooms." Journal of the IEST 30, no. 6 (November 1987): 44–49. http://dx.doi.org/10.17764/jiet.1.30.6.m24044316827q326.

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Measurements of particle size distributions smaller than 0.1 μm in Class 100 clean rooms are summarized. The size distributions were measured in operational rooms during periods of time with little activity—the so-called "at rest" conditions. A simple particle number balance model is proposed, illustrating the importance of filter penetration and atmospheric aerosol on the concentration of submicrometer particles. Preliminary calculations are used to explain the absence of < 0.1 μm diameter particles in the clean rooms tested. A ratio of condensation nucleus counter concentration to optical particle counter concentration is suggested as a parameter to provide an indication of changes in clean room particle size distribution.
9

Rao, S., and C. R. Houska. "X-ray particle-size broadening." Acta Crystallographica Section A Foundations of Crystallography 42, no. 1 (January 1986): 6–13. http://dx.doi.org/10.1107/s0108767386099981.

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X-ray diffraction profiles and Fourier coefficients are given for particles distributed according to experimentally verified size distributions. Calculations are based upon the log normal distribution of sphere diameters and intercept lengths in addition to a normal distribution of column heights. It is found that the diffraction profile is not sensitive to the fine details of the distribution but rather the mean column height and the column-height variation coefficient. Errors in particle-size determinations will result from an improper choice of the variation coefficient. Two simplified models are given that describe the diffraction profiles for a large range of variation coefficients.
10

Gkatzelis, G. I., D. K. Papanastasiou, K. Florou, C. Kaltsonoudis, E. Louvaris, and S. N. Pandis. "Measurement of nonvolatile particle number size distribution." Atmospheric Measurement Techniques 9, no. 1 (January 2016): 103–14. http://dx.doi.org/10.5194/amt-9-103-2016.

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Abstract. An experimental methodology was developed to measure the nonvolatile particle number concentration using a thermodenuder (TD). The TD was coupled with a high-resolution time-of-flight aerosol mass spectrometer, measuring the chemical composition and mass size distribution of the submicrometer aerosol and a scanning mobility particle sizer (SMPS) that provided the number size distribution of the aerosol in the range from 10 to 500 nm. The method was evaluated with a set of smog chamber experiments and achieved almost complete evaporation (> 98 %) of secondary organic as well as freshly nucleated particles, using a TD temperature of 400 °C and a centerline residence time of 15 s. This experimental approach was applied in a winter field campaign in Athens and provided a direct measurement of number concentration and size distribution for particles emitted from major pollution sources. During periods in which the contribution of biomass burning sources was dominant, more than 80 % of particle number concentration remained after passing through the thermodenuder, suggesting that nearly all biomass burning particles had a nonvolatile core. These remaining particles consisted mostly of black carbon (60 % mass contribution) and organic aerosol (OA; 40 %). Organics that had not evaporated through the TD were mostly biomass burning OA (BBOA) and oxygenated OA (OOA) as determined from AMS source apportionment analysis. For periods during which traffic contribution was dominant 50–60 % of the particles had a nonvolatile core while the rest evaporated at 400 °C. The remaining particle mass consisted mostly of black carbon with an 80 % contribution, while OA was responsible for another 15–20 %. Organics were mostly hydrocarbon-like OA (HOA) and OOA. These results suggest that even at 400 °C some fraction of the OA does not evaporate from particles emitted from common combustion processes, such as biomass burning and car engines, indicating that a fraction of this type of OA is of extremely low volatility.

Дисертації з теми "Particle size distribution":

1

Patel, Ketan Shantilal. "Vibro-spring particle size distribution analyser." Electronic Thesis or Diss., University College London (University of London), 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.252097.

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2

Darley, A. D. "Particle size distribution effects in chocolate processing." Electronic Thesis or Diss., University of Bradford, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.253973.

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3

Jahanzad, Fatemeh. "Evolution of particle size distribution in suspension polymerisation reactions." Electronic Thesis or Diss., Loughborough University, 2004. https://dspace.lboro.ac.uk/2134/10300.

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Suspension polymerisation processes are commercially important for the production of polymer beads having wide applications. Polymers produced by suspension polymerisation can be directly used for particular applications such as chromatographic separations and ion-exchange resins. Particle Size Distribution (PSD) may appreciably influence the performance of the final product. Therefore, the evolution of PSD is a major concern in the design of a suspension polymerisation process. In this research, methyl methacrylate (MMA) has been used as a model monomer. A comparative study of MMA suspension polymerisation and MMNwater dispersion was carried out, for the first time, to elaborate the evolution of mean particle size and distribution. Polyvinyl alcohol (PVA) and Lauroyl Peroxide (LPO) have been used as stabiliser and initiator, respectively. Polymerisation experiments were carried out using a 1-litre jacketed glass reactor equipped with a turbine impeller and a condenser. The stabiliser, initiator and chain transfer concentrations, inhibitor concentration and type, reaction temperature, impeller speed, and monomer hold up were used as variables. A mathematical model was developed to predict the kinetics of polymerisation as well as the evolution of PSD by population balance modelling. The experimental results were compared with the model predictions. From the comprehensive experimental results, the characteristic intervals of a typical suspension polymerisation were realised as: 1) Transition stage during which PSD narrows dramatically and drop size decreases exponentially due to higher rate of drop break up in comparison with drop coalescence . _ until a steady state is reached. The importance, and even the existence, of the transition stage have been totally ignored in the literature. The results indicate that increasing the impeller speed, and PV A concentration will lead to a shorter transition period. Also increasing the rate of reaction, via increasing initiator concentration, and reaction temperature will shorten this period. ABSTRACT 2) Quasi steady-state stage during which the rate of drop break up and drop coalescence are almost balanced leading to a steady-state drop size and distribution. The occurrence of this stage is conditional. Low impeller speed and PV A concentration may remove the quasi steady-state stage completely and drops may start growing considerably after a sharp decrease in size during the transition stage. 3) Growth stage during which the rate of drop break up considerably falls below the rate of drop coalescence due to the viscosity build up in drops leading to drop enlargement and PSD broadening. Results show that the onset of the growth stage may not be fixed and it depends on the balance of the forces acting on drops. The onset of the growth stage in terms of time was advanced with decreasing stirring speed and PV A concentration and increasing monomer hold up. Under a static steady state, which is formed when a high concentration of PV A is used, there is almost no growth. 4) Identification stage during which a solid-liquid suspension is attained and the PSD and mean particle size remain unchanged afterwards. The onset of this stage appears to be fairly constant for different formulations. The developed model could fairly predict the rate of polymerisation. It was also capable of predicting the evolution of particle size average and distribution qualitatively in the course of polymerisation. The results can be used as a guideline for the control of particle size and distribution in suspension polymerisation reactors. A more quantitative exploitation of the model has been left for a future research.
4

Ip, Trevor Tsz-Leung. "Influence of particle size distribution on fluidized bed hydrodynamics." Thesis/Dissertation, University of British Columbia, 1988. http://hdl.handle.net/2429/27891.

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Past literature has shown that the production efficiency of a fluidized bed can be affected by changing the particle size distribution. The hydrodynamics of fine particle fluidization were studied with FCC and glass bead powders which have different surface-volume mean particle diameter (40-110 μM) and particle size distributions (narrow cut, wide cut and bimodal) under ambient conditions. Increasing the mean particle size increases the minimum fluidization velocity, minimum bubbling velocity and dense phase velocity (U[sub d]) while decreasing the voidages at minimum fluidization and minimum bubbling and the dense phase voidage (∈[sub d]) as well as the fractional bubble free bed expansion. Increasing the particle size spread increases U[sub d] and decreases ∈[sub d] for FCC, but no clear conclusion can be made for glass bead powders. Increasing the static bed height decreases U[sub d] and ∈[sub d] of FCC powders though it has no effect on minimum fluidization and bubbling properties. The magnitude of pressure fluctuations increases with increasing superficial gas velocity and as the size spread of the FCC powder becomes more narrow. However, the frequency of fluctuations is independent of each of these factors. Therefore, the quality and production efficiency of the fluidization process should improve with the use of a wide and continuous size distribution powder.
Applied Science, Faculty of
Chemical and Biological Engineering, Department of
Graduate
5

Gursky, Barry Michael. "Particle size distribution optimization of filler content in shingle asphalt." Thesis, Georgia Institute of Technology, 1986. http://hdl.handle.net/1853/20989.

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6

Hildebrand, Erin N. "The effect of particle size distribution on spectral backscattering coefficient." Electronic thesis or diss., National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape7/PQDD_0015/MQ57296.pdf.

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7

Rekhibi, Soliman Abograra. "Condition monitoring of mining machinery using debris particle size distribution." Electronic Thesis or Diss., University of Nottingham, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.335821.

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8

Zhang, Shuo. "Relationship between particle size distribution and porosity in dump leaching." Thesis/Dissertation, University of British Columbia, 2017. http://hdl.handle.net/2429/63383.

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Fluid flow is a critical process involved in the valuable metals extraction from low grade ore in heap and dump leaching as well as the release of harmful substances from waste rock piles. The mechanisms by which fluids move through the porous media depend on the fluid properties and the intrinsic properties of the porous media, with permeability being one critical factor. Particle size distribution is a key factor that affects permeability by forming pores of different structure and size. The objective of this research was to assess the particle size distribution in heterogeneous packed ore/rock beds and quantify the effect of particle size distribution on porosity. In the studied mine site, the particle size distribution in the dump leach pad was determined by analyzing aerial images of multiple dump faces taken by a drone. Particles spanned a wide range in size from less than 2 cm in diameter to larger than 2 m in diameter, with a P80 to be 2 m. The spatial segregation of fine particles and coarse particles along the dump faces was observed, which may contribute to the formation of preferential flow. The effect of particle size distribution on porosity was quantified by two methods: the bulk density and CT-imaging techniques. Porosities under three particle sorting conditions were studied: narrow-sized particles, poorly sorted particles and well sorted particles. For narrow-sized particles, the porosity measured by the bulk density method decreased as the particle size was increased up to 0.151 mm after which the porosity remained constant in the range tested. The influence of the particle size on the porosity for the well sorted particles was similar to that of the narrow-sized particles from both of the methods. For poorly sorted particles, in both methods, porosity decreased as the fraction of the fine particles added was increased to a certain value, after which the porosity started to increase as the fraction of fine particles was further increased. The results have important implications for metal extraction from run of mine ores using dump leaching and release of contaminants from waste rock piles by influencing fluid flow properties.
Applied Science, Faculty of
Materials Engineering, Department of
Graduate
9

Leng, Tianyang. "Cellulose Nanocrystals: Particle Size Distribution and Dispersion in Polymer Composites." Thesis, Université d'Ottawa / University of Ottawa, 2015. http://hdl.handle.net/10393/34073.

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This thesis describes the characterization of the particle size distribution of cellulose nanocrystals (CNC), the synthesis and characterization of fluorescent CNCs, and the development of a fluorescence microscopy method to probe the distribution of fluorescent CNCs in polymer composites. In this thesis, several methods are used to characterize the size of CNC particles. Size distribution measurements by single particle counting methods (Transmission electron microscopy, Atomic force microscopy) are compared to an ensemble method, Dynamic lighting scattering (DLS) and differences between the various methods will be discussed. The effect of sonication on the CNC size distributions measured by AFM and DLS is examined. Furthermore, a reliable and reproducible method for re-dispersing dry CNC powder will be explored in this chapter since CNC is often stored in a dry environment due to its stability. Rhodamine B isothiocyanate (RBITC) and 5-(4,6-dichlorotriazinyl) amino fluorescein (DTAF) were selected for labelling CNCs. These dyes have the advantage of being cheap and readily available and compatible with relatively simple synthetic chemistry. The photophysical properties of all dye labeled CNCs were studied in more detail than in previous studies. The focus is on understanding the most appropriate labeling efficiency to maximize the ability to detect individual CNCs while minimizing the amount of dye used to avoid modifying the CNC properties. The characterization methods include ensemble methods such as UV-Vis absorption and scattering measurements, fluorescence spectroscopy and single molecule methods such as Total internal reflection fluorescence microscopy (TIRFM), Atomic force microscopy (AFM) and correlated TIRFM/AFM measurements. All of these methods have their advantages and disadvantages. After characterization, the most suitable dye labeled CNC sample was selected for development of a fluorescence microscopy method to characterize CNC distribution in CNC/polymer composites. The dye labeled CNC has been incorporated into polyvinyl alcohol (PVA) films and studied by fluorescence microscopy. These experiments demonstrated that the level of CNC agglomeration varies significantly for different film preparation methods, indicating that fluorescence microscopy is a useful and easily accessible method for optimizing film preparation. The self-quenching of the dye in the film was also measured and discussed and is an important consideration for choice of the dye loading and CNC content in the films.
10

Zhang, Yanmin. "A study of suspension polymerisation of Methyl Mathacrylate and Styrene in a batch oscillatory baffled reactor." Electronic Thesis or Diss., University of Strathclyde, 1998. http://oleg.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=22173.

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One of the most important issues in suspension polymerisation process is the control of the final particle size distribution (PSD) as this is an indicator for both quality and financial matters. For polymer manufacturers, a narrow PSD is always welcome. The conventional reactors, e. g. stirred tank reactors, generally produce particles of a rather broad PSD. As a result, to explore a new type of polymerisation devices becomes a challenging task. The objectives of this PhD study are to apply a novel mixing apparatus, the oscillatory baffled reactor (OBR), to batch polymerisation of MMA and Styrene (crosslinked) and to characterise all the major aspects of the OBR involved in the pioneering work, with a view to assessing its potential for industrial applications. In order to carry out such investigations, a 1.2 litre batch jacketed OBR system with temperature control and on-line data acquisition units was designed and built. In addition, an off-line image capture system was set up f or droplet studies. From heat transfer study in the OBR, it was found that the temperature profiles across and along the reactor were uniform and a heat transfer correlation was obtained. The oil-water dispersion in the OBR was then investigated for various baffle designs, dispersed phase fractions and the levels of surfactants, enabling the optimal baffle type and parameters to be identified. In order to understand the droplet behaviour in the OBR, the droplet size distribution (DSD) was examined on dispersion uniformity, oscillation time, operational conditions, baffle thickness and the level of surfactant addition. It was found that the DSDs were very uniform within the reactor and the oscillation frequency and amplitude had the same effect on controlling the DSDs. Finally, a series of PMMA and PS tests were successfully conducted in the OBR, indicating that the polymer PSD can be controlled by adjusting both oscillation conditions and the baffle orifice diameter and that the OBR has the potential to produce uniform polymer particles at high oscillation frequencies. A correlation between droplet sizes with no reaction and final polymer particle sizes was established, which can be used to predict the final polymer sizes.

Книги з теми "Particle size distribution":

1

Provder, Theodore, ed. Particle Size Distribution. Washington, DC: American Chemical Society, 1987. http://dx.doi.org/10.1021/bk-1987-0332.

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Provder, Theodore, ed. Particle Size Distribution III. Washington, DC: American Chemical Society, 1998. http://dx.doi.org/10.1021/bk-1998-0693.

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3

Provder, Theodore, ed. Particle Size Distribution II. Washington, DC: American Chemical Society, 1991. http://dx.doi.org/10.1021/bk-1991-0472.

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4

Rosbury, Keith D. Generalized particle size distribution for use in preparing size specific particulate emission inventories. Research Triangle Park, NC: U.S. Environmental Protection Agency, Office of Air Quality Planning and Standards, 1986.

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5

Etkin, Bernard. Research on an aerodynamic particle separator (the EPS). [S.l.]: Hemisphere Publishing Corp, 1988.

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6

Etkin, Bernard. Research on an aerodynamic particle separator (the EPS). Downsview, Ont: Institute for Aerospace Studies, 1986.

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7

Koskinen, Jukka Tapio. Use of population balances and particle size distribution analysis to study particulate processes affected by simultaneous mass and heat transfer an nonuniform flow conditions. Lappeenranta: Lappeenranta University of Technology, 1993.

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8

Huggins, Charles W. Particle size distribution of quartz and other respirable dust particles collected at metal mines, nonmetal mines, and processing plants. Pittsburgh, Pa: U.S. Dept. Of the Interior, Bureau of Mines, 1986.

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9

Barnard, Keith. Standpipe to determine permeability, dissolved oxygen, and vertical particle size distribution in salmonid spawning gravels. Eureka, CA]: USDA Forest Service, 1994.

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10

Brennan, William Dennis. The effects of nozzle geometry on particle size distribution in a small two dimensional rocket motor. Monterey, Calif: Naval Postgraduate School, 1989.

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Частини книг з теми "Particle size distribution":

1

Stock, Ruth S., and W. Harmon Ray. "Measuring Particle Size Distribution of Latex Particles Using Dynamic Light Scattering." In Particle Size Distribution, 105–14. Washington, DC: American Chemical Society, 1987. http://dx.doi.org/10.1021/bk-1987-0332.ch007.

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Beddow, J. K. "Size, Shape, and Texture Analysis." In Particle Size Distribution, 2–29. Washington, DC: American Chemical Society, 1987. http://dx.doi.org/10.1021/bk-1987-0332.ch001.

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3

Jang, B. Z., and Y. S. Chang. "Assessment of Particle Size Distribution and Spatial Dispersion of Rubbery Phase in a Toughened Plastic." In Particle Size Distribution, 30–45. Washington, DC: American Chemical Society, 1987. http://dx.doi.org/10.1021/bk-1987-0332.ch002.

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Weiner, B. B., and W. W. Tscharnuter. "Uses and Abuses of Photon Correlation Spectroscopy in Particle Sizing." In Particle Size Distribution, 48–61. Washington, DC: American Chemical Society, 1987. http://dx.doi.org/10.1021/bk-1987-0332.ch003.

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Vaidya, R. A., M. J. Mettille, and R. D. Hester. "A Comparison of Methods for Determining Macromolecular Polydispersity from Dynamic Laser Light Scattering Data." In Particle Size Distribution, 62–73. Washington, DC: American Chemical Society, 1987. http://dx.doi.org/10.1021/bk-1987-0332.ch004.

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Bott, S. E. "Submicrometer Particle Sizing by Photon Correlation Spectroscopy: Use of Multiple-Angle Detection." In Particle Size Distribution, 74–88. Washington, DC: American Chemical Society, 1987. http://dx.doi.org/10.1021/bk-1987-0332.ch005.

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Herb, C. A., E. J. Berger, K. Chang, I. D. Morrison, and E. F. Grabowski. "Using Quasi-Elastic Light Scattering To Study Particle Size Distributions in Submicrometer Emulsion Systems." In Particle Size Distribution, 89–104. Washington, DC: American Chemical Society, 1987. http://dx.doi.org/10.1021/bk-1987-0332.ch006.

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Xu, Renliang, James R. Ford, and Benjamin Chu. "Photon Correlation Spectroscopy, Transient Electric Birefringence, and Characterization of Particle Size Distributions in Colloidal Suspensions." In Particle Size Distribution, 115–32. Washington, DC: American Chemical Society, 1987. http://dx.doi.org/10.1021/bk-1987-0332.ch008.

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9

Gulari, Erdogan, A. Annapragada, Esin Gulari, and B. Jawad. "Determination of Particle Size Distributions Using Light-Scattering Techniques." In Particle Size Distribution, 133–45. Washington, DC: American Chemical Society, 1987. http://dx.doi.org/10.1021/bk-1987-0332.ch009.

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Frock, Harold N. "Particle Size Determination Using Angular Light Scattering." In Particle Size Distribution, 146–60. Washington, DC: American Chemical Society, 1987. http://dx.doi.org/10.1021/bk-1987-0332.ch010.

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Тези доповідей конференцій з теми "Particle size distribution":

1

Andrews, G. E., A. G. Clarke, N. Y. Rojas, T. Sale, and D. Gregory. "Diesel Particle Size Distribution: The Conversion Of Particle Number Size Distribution To Mass Distribution." In International Spring Fuels & Lubricants Meeting. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2001. http://dx.doi.org/10.4271/2001-01-1946.

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2

Ventola, Andrea, and Roman D. Hryciw. "On-Site Particle Size Distribution by FieldSed." In Eighth International Conference on Case Histories in Geotechnical Engineering. Reston, VA: American Society of Civil Engineers, 2019. http://dx.doi.org/10.1061/9780784482131.015.

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3

Ma, Binjian, and Debjyoti Banerjee. "Predicting Particle Size Distribution in Nanofluid Synthesis." In ASME 2017 Heat Transfer Summer Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/ht2017-5048.

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Анотація:
Wet chemistry approaches have been widely used to synthesize nanoparticle suspensions with different size and shape. Controlling particle size is crucial for tailoring the properties of the nanofluid. In this study, we simulated the particle size growth during a thermal-chemical nanofluid synthesis routine. The simulation was based on the population balance model for aggregation kinetics, which is coupled with thermal decomposition, nucleation and crystal growth kinetics. The simulation result revealed a typical burst nucleation mechanism towards self-assembly of supersaturated monomers in the nanoparticle formation process and the shift from monodispersed particles to polydispersed particles by the particle-particle coagulation.
4

Lee, Hakyeul, Matthew Hudson, and Janz Rondon. "Particle Size Distribution Acid Soluble Cement." In Unconventional Resources Technology Conference. Society of Petroleum Engineers, 2015. http://dx.doi.org/10.2118/178683-ms.

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5

Kuhlman, Michael R., Rachel E. Gooding, Vladimir G. Kogan, and Curtis Bridges. "Particle size distribution of cocaine hydrochloride." In Enabling Technologies for Law Enforcement and Security, edited by Pierre Pilon and Steve Burmeister. SPIE, 1997. http://dx.doi.org/10.1117/12.266779.

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6

Swanepoel, F., D. M. Weber, and G. Metzner. "Particle size distribution determination using acoustic information." In 1999 IEEE Africon. 5th Africon Conference in Africa. IEEE, 1999. http://dx.doi.org/10.1109/afrcon.1999.820840.

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7

A.K.Jha and V. M. Puri. "Percolation Segregation for Broad Particle Size Distribution." In 2005 Tampa, FL July 17-20, 2005. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2005. http://dx.doi.org/10.13031/2013.19517.

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8

Daun, K. J., B. J. Stagg, F. Liu, G. J. Smallwood, and D. R. Snelling. "Determining Aerosol Particle Size Distribution Using Time-Resolved Laser-Induced Incandescence." In ASME 2006 International Mechanical Engineering Congress and Exposition. ASMEDC, 2006. http://dx.doi.org/10.1115/imece2006-13595.

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Анотація:
Time-resolved laser-induced incandescence is a powerful tool for determining the physical characteristics of aerosol dispersions of refractory nano-particles. In this procedure, particles within a small aerosol volume are heated with a nano-second laser pulse, and the temporal incandescence of the particles is then measured as they return to the ambient gas temperature. It is possible to infer particle size distribution from the temporal decay of the LII signal since the cooling rate of an individual particle depends on its area-to-volume ratio. This requires solving a mathematically ill-posed inverse problem, however, since the measured LII signal is due to the incandescence contributed by all particle sizes within the aerosol volume. This paper reviews techniques proposed in the literature for recovering particle size distributions from time-resolved LII data. The characteristics of this ill-posed problem are then discussed in detail, particularly the issues of solution stability and uniqueness. Finally, the accuracy and stability of each method is evaluated by performing a perturbation analysis, and the overall performance of the techniques is compared.
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Mayer, A., H. Egli, H. Burtscher, J. Czerwinski, and D. Gehrig. "Particle Size Distribution Downstream Traps of Different Design." In International Congress & Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1995. http://dx.doi.org/10.4271/950373.

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Pruteanu, Augustina, Ladislau David, Mihai Matache, and Nitu Mihaela. "Particle size distribution of some chopped medicinal plants." In 17th International Scientific Conference Engineering for Rural Development. Latvia University of Agriculture, 2018. http://dx.doi.org/10.22616/erdev2018.17.n304.

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Звіти організацій з теми "Particle size distribution":

1

Spriggs, G., and A. Ray-Maitra. Particle-Size-Distribution of Nevada Test Site Soils. Office of Scientific and Technical Information (OSTI), September 2007. http://dx.doi.org/10.2172/922100.

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Okhuysen, W., and J. D. Gassaway. Particle size distribution instrument. Topical report 13. Office of Scientific and Technical Information (OSTI), April 1995. http://dx.doi.org/10.2172/39146.

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3

Shah, K. B. Particle size distribution of indoor aerosol sources. Office of Scientific and Technical Information (OSTI), October 1990. http://dx.doi.org/10.2172/6325100.

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4

Patterson, Philip, and William Lum. Laser Scattering Particle Size Distribution Analyses of Pigments. Fort Belvoir, VA: Defense Technical Information Center, September 1998. http://dx.doi.org/10.21236/ada353710.

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5

Tresouthick, S. W. Energy conservation potential of Portland Cement particle size distribution control. Office of Scientific and Technical Information (OSTI), January 1985. http://dx.doi.org/10.2172/6299351.

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Tresouthick, S. W., and S. J. Weiss. Energy conservation potential of Portland cement particle size distribution control. Office of Scientific and Technical Information (OSTI), January 1986. http://dx.doi.org/10.2172/6047449.

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Tresouthick, S. W., and S. J. Weiss. Energy conservation potential of Portland cement particle size distribution control. Office of Scientific and Technical Information (OSTI), January 1986. http://dx.doi.org/10.2172/6047458.

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Tresouthick, S. W., and S. J. Weiss. Energy conservation potential of Portland Cement particle size distribution control. Office of Scientific and Technical Information (OSTI), January 1985. http://dx.doi.org/10.2172/6047465.

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Tresouthick, S. W., and S. J. Weiss. Energy conservation potential of Portland Cement particle size distribution control. Office of Scientific and Technical Information (OSTI), January 1985. http://dx.doi.org/10.2172/6047480.

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10

Tresouthick, S. W., and S. J. Weiss. Energy conservation potential of Portland Cement particle size distribution control. Office of Scientific and Technical Information (OSTI), January 1986. http://dx.doi.org/10.2172/6260545.

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