scholarly journals Effect of the particle-size distribution variability on the SWCC predictions of coarse-grained materials

2021 ◽  
Vol 337 ◽  
pp. 02010
Author(s):  
Roberto Alves ◽  
Gilson de F.N. Gitirana ◽  
Sai K. Vanapalli
Keyword(s):  
Particle Size ◽  
Particle Size Distribution ◽  
Size Distribution ◽  
Characteristic Curve ◽  
Strong Relationship ◽  
Coarse Grained ◽  
Sieve Analysis ◽  
Testing Procedures ◽  
Coefficient Of Uniformity ◽  
Size Of Particles

The particle-size distribution (PSD) is the key information required by several models for prediction of the soil-water characteristic curve (SWCC). The performance of these models has been extensively investigated in the literature; however, limited studies have been undertaken with respect to the uncertainty associated with the SWCC predictions resulting from the variability in the PSD. This study aims to investigate the influence of the variability of the PSD in the prediction of SWCCs using five different models applied to three different glass beads (GBs). The PSD curves were determined by sieve analysis, laser diffraction, and image analysis. The various testing procedures were statistically evaluated to understand the influence of variability of the PSD in terms of the coefficient of uniformity (CU) and de size of particles corresponding to 10% in the PSD (D10). For each prediction model, a combination of PSD curves and their coefficient of variation were used to estimate the SWCCs. Both the CU and D10 proved to have a strong relationship with the predicted SWCCs. The CU appears to influence more the residual suction prediction while the D10 seems to have a major role for the transition and residual stages.

Factors Influencing the Particle Size Distribution in an Abrasive Waterjet

1991 ◽  
Vol 113 (4) ◽  
pp. 402-411 ◽  
Author(s):  
T. J. Labus ◽  
K. F. Neusen ◽  
D. G. Alberts ◽  
T. J. Gores
Keyword(s):  
Particle Size ◽  
Particle Size Distribution ◽  
Size Distribution ◽  
Cutting Speed ◽  
Target Material ◽  
Abrasive Waterjet ◽  
Sieve Analysis ◽  
Size Distributions ◽  
Mixing Process ◽  
Jet Mixing

A basic investigation of the factors which influence the abrasive jet mixing process was conducted. Particle size analysis was performed on abrasive samples for the “as-received” condition, at the exit of the mixing tube, and after cutting a target material. Grit size distributions were obtained through sieve analysis for both water and air collectors. Two different mixing chamber geometries were evaluated, as well as the effects of pressure, abrasive feed rate, cutting speed, and target material properties on particle size distributions. An analysis of the particle size distribution shows that the main particle breakdown is from 180 microns directly to 63 microns or less, for a nominal 80 grit garnet. This selective breakdown occurs during the cutting process, but not during the mixing process.

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.

Study of Particle Size Distribution of Selected Material of Solid Fertilizer by Using Photo-Optical Image Analysis

2014 ◽  
Vol 1059 ◽  
pp. 19-25
Author(s):  
Miroslav Macák ◽  
Ladislav Nozdrovický
Keyword(s):  
Particle Size ◽  
Image Analysis ◽  
Particle Size Distribution ◽  
Size Distribution ◽  
Production Systems ◽  
Physical And Mechanical Properties ◽  
Optical Image ◽  
National Standard ◽  
Sieve Analysis

In many branches of industrial production, there is a need for continual monitoring of the quality of manufactured product. Such requirements arise in the production of fertilizers, as the physical and mechanical properties of fertilizers affect the quality of application provided by fertilizer spreaders. The aim of the presented paper was to compare the suitability and applicability of the photo-optical image analysis with the sieve analysis used for the determination of fertilizer particle size distribution. The photo-optical method was used by [1] to study the fertilizer particle size distribution. These researchers tried to measure the size and velocity of flying particles in relation to the quality of application of centrifugal spreaders. During our comparative experiments, we have compared the photo-optical image analysis and sieve analysis. In experiments, we used the samples of the granulated fertilizer NMgS produced by the Duslo, a.s. company. The sieve analysis was conducted according to the national standard STN EN 1235 in the laboratories of the Department of Machines and Production Systems at the Faculty of Engineering, Slovak University of Agriculture in Nitra.

scholarly journals Predicting the soil moisture retention curve, from soil particle size distribution and bulk density data using a packing density scaling factor

2014 ◽  
Vol 18 (10) ◽  
pp. 4053-4063 ◽  
Author(s):  
F. Meskini-Vishkaee ◽  
M. H. Mohammadi ◽  
M. Vanclooster
Keyword(s):  
Particle Size ◽  
Soil Moisture ◽  
Particle Size Distribution ◽  
Size Distribution ◽  
Packing Density ◽  
Characteristic Curve ◽  
Scaling Factor ◽  
Particle Packing ◽  
Soil Particle ◽  
Physically Based

Abstract. A substantial number of models predicting the soil moisture characteristic curve (SMC) from particle size distribution (PSD) data underestimate the dry range of the SMC especially in soils with high clay and organic matter contents. In this study, we applied a continuous form of the PSD model to predict the SMC, and subsequently we developed a physically based scaling approach to reduce the model's bias at the dry range of the SMC. The soil particle packing density was considered as a metric of soil structure and used to define a soil particle packing scaling factor. This factor was subsequently integrated in the conceptual SMC prediction model. The model was tested on 82 soils, selected from the UNSODA database. The results show that the scaling approach properly estimates the SMC for all soil samples. In comparison to the original conceptual SMC model without scaling, the scaling approach improves the model estimations on average by 30%. Improvements were particularly significant for the fine- and medium-textured soils. Since the scaling approach is parsimonious and does not rely on additional empirical parameters, we conclude that this approach may be used for estimating SMC at the larger field scale from basic soil data.

scholarly journals Effect of Particle Size Distribution to Remove Contaminants in Groundwater at Dengkil, Selangor

2015 ◽  
Vol 773-774 ◽  
pp. 1158-1162
Author(s):  
Nur Aziemah Abd Rashid ◽  
Ismail Abustan ◽  
Mohd Nordin Adlan
Keyword(s):  
Particle Size ◽  
Particle Size Distribution ◽  
Size Distribution ◽  
Alluvial Soil ◽  
Permeability Changes ◽  
Below Ground ◽  
Effect Of Particle Size ◽  
Coefficient Of Uniformity ◽  
Horizontal Permeability ◽  
Permeability Rate

Particle size distribution (PSD) below ground may influence the groundwater flow rate. Due to that, this study focuses on laboratory scale using local alluvial soil to remove contaminants from river water using different of soil PSD samples. In horizontal permeability modelling shows permeability was influenced by the coefficient of uniformity (Cu) of sand. However, the permeability changes was differ between well and poorly graded sand. Well graded sands Cu between 4 to 5 the permeability changes are only between 7.8 – 7.9 x10-4 m/s. Whereas poorly graded sands Cu are between 2.5 to 4 the permeability change between 6.9 – 9.0 x 10-4 m/s. Whereas poorly graded sand was shows as consistent media than well graded to remove contaminants and the permeability rate is higher than well graded sand. Poorly graded (Sand B and C) removes turbidity and iron up to 50%. Because of that poorly graded soil is preferable for RBF application.

scholarly journals The Study of Particle Size Distribution of Micronized Oat Bran Layer

2020 ◽  
Vol 24 (2) ◽  
pp. 45-54
Author(s):  
Dariusz Dziki ◽  
Wojciech Tarasiuk ◽  
Grzegorz Łysiak ◽  
Paweł Jochymek
Keyword(s):  
Particle Size ◽  
Particle Size Distribution ◽  
Size Distribution ◽  
Laser Light ◽  
Rotation Speed ◽  
Raw Material ◽  
Coarse Particles ◽  
Oat Bran ◽  
Size Of Particles ◽  
Sense Of Touch

AbstractThe aim of this work was to study the particle size distribution of micronized oat bran. An impact classified mill was used to pulverizing. Before the pulverizing raw material was sterilized using overheated steam at 150°C during 3.5 min. The moisture of bran after sterilization decreased from 7.2 to about 3.9%. Five speeds of the rotor disc were used: 2600, 2970, 3340, and 3710 rpm. For each speed of the rotor disc the following speeds of classifier wheel were applied: 480, 965, 1450, 1930, 2410 and 2890 rpm. The particle size distribution of oat bran layer was measured by laser light scattering. Moreover, the sense of touch of coarse particles of micronized oat bran on a tongue was assessed according to five point scale. The largest fragmentation of the oat bran was obtained at a disc speed of 3710 rpm and at a classifier rotation speed of 1930 rpm, whereas the most coarse particles were obtained when these parameters were 3340 rpm and 480 rpm, respectively. On the other hand, the highest uniformity in size of particles in size was observed when the lowest speed of disc and classifier were used. Moreover, for the most samples the pulverized particles of oat bran were almost not discernible on tongue.

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