Particle size analysis on wide size distribution powders; effect of sampling and characterization technique

2015 ◽  
Vol 26 (1) ◽  
pp. 200-207 ◽  
Author(s):  
G. Bahar Basim ◽  
Mohsen Khalili
Keyword(s):  
Particle Size ◽  
Size Distribution ◽  
Particle Size Analysis ◽  
Size Analysis ◽  
Characterization Technique ◽  
Wide Size Distribution

X-ray fluorescence spectrometry for rapid screening of particle size in soils

2021 ◽  
Author(s):  
Maame Croffie ◽  
Paul N. Williams ◽  
Owen Fenton ◽  
Anna Fenelon ◽  
Karen Daly
Keyword(s):  
Particle Size ◽  
Particle Size Distribution ◽  
Size Distribution ◽  
Soil Texture ◽  
Particle Size Analysis ◽  
Parent Material ◽  
Fluorescence Spectrometry ◽  
Rapid Screening ◽  
Size Analysis ◽  
X Ray

<p>Soil texture is an essential factor for effective land management in agricultural production. Knowledge of soil texture and particle size at field scale can aid with on-going soil management decisions. Standard soil physical and gravimetric methods for particle size analysis are time-consuming and X-ray fluorescence spectrometry (XRF) provides a rapid and cost-effective alternative. The objective of this study was to explore the use of XRF as a predictor for particle size. An extensive archive of Irish soils with particle size and soil texture data was used to select samples for XRF analysis. Regression and correlation analyses on XRF determined results showed that the relationship between Rb and % clay varied with soil type and was dependent on the parent material. There was a strong relationship (R > 0.62, R<sup>2</sup>>0.30, p<0.05) between Rb and clay for soils originating from bedrock such as limestones and slate. Contrastingly, no significant relationship (R<0.03, R<sup>2</sup>=0.00, p>0.05) exists between Rb and % clay for soils originating from granite and gneiss. Furthermore, there was a significant negative correlation (p<0.05) between Rb and % sand. The XRF is a useful technique for rough screening of particle size distribution in soils originating from certain parent materials. Thus, this may contribute to the rapid prediction of soil texture based on knowledge of the particle size distribution.</p><p> </p>

scholarly journals Application of Particle-Size Analysis Data for the Determination of Air/Cleaner Performance

1965 ◽  
Author(s):  
Lawrence J. Czerwonka ◽  
Jack M. Carey
Keyword(s):  
Particle Size ◽  
Size Distribution ◽  
Analysis Data ◽  
Particle Size Analysis ◽  
General Purpose ◽  
Size Analysis ◽  
Air Filter ◽  
Performance Curves ◽  
Air Cleaner

A general purpose centrifuge method for measuring particle-size distribution of air-filter inlet, outlet and catch dust samples is demonstrated. Treatment and analysis of data to determine air-cleaner performance based on size distribution is shown for two types of air filters, a louver and a glass-fiber media filter. The advantages and limitations of the method and interpretations of results associated with the application of these procedures for arriving at efficiency versus particle-size performance curves, and for predicting filter efficiency for any given dust are discussed.

scholarly journals Log-Cubic Method for Generation of Soil Particle Size Distribution Curve

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Songhao Shang
Keyword(s):  
Particle Size ◽  
Particle Size Distribution ◽  
Size Distribution ◽  
Cross Validation ◽  
Interpolation Method ◽  
Physical Property ◽  
Particle Size Analysis ◽  
Soil Particle ◽  
Size Analysis ◽  
Particle Analysis

Particle size distribution (PSD) is a fundamental physical property of soils. Traditionally, the PSD curve was generated by hand from limited data of particle size analysis, which is subjective and may lead to significant uncertainty in the freehand PSD curve and graphically estimated cumulative particle percentages. To overcome these problems, a log-cubic method was proposed for the generation of PSD curve based on a monotone piecewise cubic interpolation method. The log-cubic method and commonly used log-linear and log-spline methods were evaluated by the leave-one-out cross-validation method for 394 soil samples extracted from UNSODA database. Mean error and root mean square error of the cross-validation show that the log-cubic method outperforms two other methods. What is more important, PSD curve generated by the log-cubic method meets essential requirements of a PSD curve, that is, passing through all measured data and being both smooth and monotone. The proposed log-cubic method provides an objective and reliable way to generate a PSD curve from limited soil particle analysis data. This method and the generated PSD curve can be used in the conversion of different soil texture schemes, assessment of grading pattern, and estimation of soil hydraulic parameters and erodibility factor.

Size Reduction of Clay Particles in Nanometer Dimensions

2002 ◽  
Vol 740 ◽  
Author(s):  
Gopinath Mani ◽  
Qinguo Fan ◽  
Samuel C. Ugbolue ◽  
Isabelle M. Eiff
Keyword(s):  
Particle Size ◽  
Particle Size Distribution ◽  
Specific Surface ◽  
Size Distribution ◽  
Research Work ◽  
Particle Size Analysis ◽  
Laser Diffraction ◽  
Size Analysis ◽  
Clay Particles ◽  
Nano Size

ABSTRACTThis research work focuses on combining ball milling and ultrasonication to produce nano-size clay particles. Our work also emphasizes on increasing the specific surface area of montmorillonite clay particles by reducing the particle size to nanometer dimensions. We have characterized the as-received clay particles by using particle size analysis based on laser diffraction and found that the size of the clay particles is not consistent and the particle size distribution is very broad. However, after the unique treatment and processing, the clay particles were obtained in nanometer dimensions with narrowed particle size distribution.

scholarly journals Effects of Particle Size Distribution on the Properties of Natural-Based Composite

2019 ◽  
Vol 4 (4) ◽  
pp. 170-177
Author(s):  
J. Abutu ◽  
S.A. Lawal ◽  
M.B. Ndaliman ◽  
R.A. Lafia-Araga ◽  
A.S. Abdulrahman
Keyword(s):  
Particle Size ◽  
Particle Size Distribution ◽  
Size Distribution ◽  
Treatment Time ◽  
Particle Size Analysis ◽  
Coconut Shell ◽  
Size Analysis ◽  
Distribution Width ◽  
Testing Procedures ◽  
Coconut Shells

In this study, locally sourced natural materials (coconut shells and seashells) were used separately to produce composites. The powders were sieved with sieve size of 10 µm and characterized using a particle size analyser (DLS) in order to ascertain their particle size distribution. Also, the effects of particle size distribution on the performance of sourced coconut shells and seashells-based composite was investigated. About 52% of the characterized powder was afterward used along with other ingredients (35% binder, 8% alumina and 5% graphite) to produced composites using moulding pressure (14 MPa), moulding temperature (160 ºC), curing time (12 min) and heat treatment time (1 hr). The performance of the composites was thereafter evaluated using standard testing procedures. The results of particle size analysis indicated that the seashell powder (0.27) possesses lower distribution width (PDI) compared to the coconut shell powder (0.342) while the coconut shell (542.3 nm) showed lower Z-average diameter compared to the seashell powder (1096 nm) with some little traces of nanoparticles (<10 µm). Also, the experimental results obtained from composite characterization indicated that the coconut shell-based samples exhibited better performance in terms of its mechanical and tribological properties compared to the seashell-based samples.

Preparation, Characterization of Co3O4 Nano-Particles and its Catalytic Effect on the Combustion of Fuel Rich Propellants

2012 ◽  
Vol 560-561 ◽  
pp. 284-288 ◽  
Author(s):  
Wei Qiang Pang ◽  
Xiao Bing Shi ◽  
Yang Li
Keyword(s):  
Particle Size ◽  
Catalytic Effect ◽  
Solid Phase ◽  
Particle Size Analysis ◽  
Nano Particles ◽  
Size Analysis ◽  
X Ray Diffraction ◽  
Transmission Electron ◽  
Wide Size Distribution

The mono-dispersed Co3O4 nano-particles were prepared by means of solid phase synthetical method. The particle size, specific surface area, crystal structure and morphology of the samples were characterized by laser particle size analysis, x-ray diffraction (XRD) and transmission electron microscopy (TEM), respectively. The catalytic effects of nano-particles on the combustion of fuel rich propellant were investigated. The results show that the Co3O4 nano-particles prepared are uniform and with relatively wide size distribution curve. The catalytic effect of Co3O4 nano-particles on the fuel rich propellant is stronger than those of micro-sized Co3O4 particles and CuO nano-particles.

Relationships between field texture and particle-size distribution in Australia and their implications

Soil Research ◽  
2007 ◽  
Vol 45 (6) ◽  
pp. 428 ◽  
Author(s):  
Budiman Minasny ◽  
Alex B. McBratney ◽  
Damien J. Field ◽  
Grant Tranter ◽  
Neil J. McKenzie ◽  
...  
Keyword(s):  
Particle Size ◽  
Particle Size Distribution ◽  
Size Distribution ◽  
Classification System ◽  
Soil Classification ◽  
Particle Size Analysis ◽  
Pedotransfer Functions ◽  
Size Analysis ◽  
Texture Contrast ◽  
Australian Soil

This paper aims to establish the means and ranges of clay, silt, and sand contents from field texture classes, and to investigate the differences in the field texture classes and texture determined from particle-size analysis. The results of this paper have 2 practical applications: (1) to estimate the particle size distribution and its uncertainty from field texture as input to pedotransfer functions, and (2) to examine the criteria of texture contrast soils in the Australian Soil Classification system. Estimates of clay, silt, and sand content for each field texture class are given and this allows the field texture classes to be plotted in the texture triangle. There are considerable differences between field texture classes and particle-size classes. Based on the uncertainties in determining the clay content from field texture, we establish the probability of the occurrence of a texture contrast soil according to the Australian Soil Classification system, given the texture of the B2 horizon and its overlying A horizon. I enjoy doing the soil-texture feel test with my fingers or kneading a clay soil, which is a short step from ceramics or sculpture. Hans Jenny (1984)

scholarly journals Modern methods of grain size distribution of soils

2013 ◽  
pp. 302-308
Author(s):  
Volodymyr Radzii
Keyword(s):  
Particle Size ◽  
Grain Size ◽  
Size Distribution ◽  
Grain Size Distribution ◽  
Soil Mass ◽  
Particle Size Analysis ◽  
Soil Science ◽  
Size Analysis ◽  
Ecological Functions ◽  
Modern Methods

Grain size distribution of soil determines much of water and physical properties of the soil mass. However, it defines ecological functions and morphological memory of soils in the study of their genesis, evolution and use. This article describes the main methods of particle size analysis and suggests the modern methods used increasingly in the research in soil science, geology, chemical, pharmaceutical and other industries. Key words: particle size distribution of soil, sedimentograph, laser diffraction.

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