### Properties of Small Metallic Particles

· melting temperature depend on particle size. With the advent of new nanotechnologies the study of such particles has become even more relevant. This project has involved modelling the effects on melting temperature with respect to changes in particle size shape crystal structure and chemical composition.

Get Price### Modelling the effect of SiC particle size on

· Modelling the effect of SiC particle size on crystallization of magnesium metal matrix composite AZ91/SiC INTRODUCTION Grain size is one of the most important structural characteristic that determining mechanical properties. Knowing element proper ties the proper application regions for it can be chosen to achieve

Get Price### Different Methods of Particle Size MeasurementATA

· MedianWhen concerned with particles median is the value of the particle size that precisely divides the population into two halves. This means that there is 50 of the population above and 50 of the population below the value. ModeMode defines the most common value in a frequency distribution. This also corresponds to the highest

Get Price### Statistical modeling and optimization of the combustion

· Increasing the efficiency of combustion in the precalciner was the object of numerous simulations and modeling Iliuta et al. investigated the influence of operating conditions on the level of calcination and made a sensitivity analysis of their model with respect to combustion/calcination parameters. Ranade et al. Hu et al. and Lu et al. based on their parametric sensitivities on

Get Price### Statistical modeling and optimization of the combustion

· The larger the size of the particle the greater the chance of fragmentation. As a result the probability of some particle classes not burning increases. Through this fragmentation model Syred 21 explains the increase in the CO content in the gases at the outlet of the precalciner by increasing the reactive surface area of the tank and reducing the residence time.

Get Price### Statistical properties of the normalized ice particle size

· 6 By definition the particle size distribution N(D) is the number of particles per unit volume and per interval of diameter (m −4) where D is the particle diameter (m). It is well known that this PSD is highly variable in both liquid and ice phases owing to variations over three to four decades of the condensed water content in a single

Get Price### Statistical properties of the normalized ice particle size

· 6 By definition the particle size distribution N(D) is the number of particles per unit volume and per interval of diameter (m −4) where D is the particle diameter (m). It is well known that this PSD is highly variable in both liquid and ice phases owing to variations over three to four decades of the condensed water content in a single

Get Price### Estimating Size and Composition of Biological Communities

· (2005). Estimating Size and Composition of Biological Communities by Modeling the Occurrence of Species. Journal of the American Statistical Association Vol. 100 No. 470 pp. .

Get Price### Statistical modelling of spatial and temporal variation in

Ultrafine particles (UFP) pose a risk to human health but due to the multitude of sources and fast transformation in the urban atmosphere quantifying the exposure is challenging. Furthermore physical properties of aerosol particles depend on the particle size. Statistical models are used to quantify spatial and temporal variation of UFP but rarely used for particle number size distribution

Get Price### University of Groningen Multivariate statistical modelling

Multivariate statistical modelling of the pharmaceutical process of wet granulation and tableting Wet granulation in high-shear mixers is a process of particle size enlargement muc h used in the pharmaceutical industry to improve the tableting properties of powde r

Get Price### GMDModelling the mineralogical composition and

· Abstract. Modelling of mineral dust is often done using one single mean species. But for biogeochemical studies it could be useful to access to a more detailed information on differentiated mineral species and the associated chemical composition. Differentiating between mineral species would also induce different optical properties and densities and then different radiative impact transport

Get Price### Statistical modelling of the particle size composition of

Statistical modelling and the Response Surface Methodology (Statistica Mixtures Designs and Triangular Surfaces module) were used to optimise the particle size composition of the three-component mixtures leading to matrix maximum flowability. The mixing methodology aimed at minimising the water content was kept constant.

Get Price### Receptor modelling of both particle composition and size

· atmos-chem-phys/15/10107/2015/ Atmos. Chem. Phys. 15 10107–10125 2015. 10110 D. C. S. Beddows et al. Receptor modelling of both particle composition and size distribution. Non-Exhaust and Crustal Urban 25.1 Background 24.0 raffic 4.5 Marine 15.1 Fuel Oil 5.9 . Secondary 25.4 17.2 mg m3 Urban Background Marine Secondary Non-Exhaust

Get Price### University of Groningen Multivariate statistical modelling

Multivariate modelling for tablet optimisation and in-process control 101 Figure 2 Two models for the modelling of tablet properties. In Model 1 the composition variables and the process variables of both steps are used. The granule properties are added in Model 2. proc ess variables of the first step that is necessary for modelling and

Get Price### Different Methods of Particle Size MeasurementATA

· MedianWhen concerned with particles median is the value of the particle size that precisely divides the population into two halves. This means that there is 50 of the population above and 50 of the population below the value. ModeMode defines the most common value in a frequency distribution. This also corresponds to the highest

Get Price### Experimental and modelling studies of particle radiation

· The particle size distribution and particle type were investigated using a low-pressure impactor and a scanning mobility particle sizer (SMPS). Detailed models describing the gas and particle properties were applied in the modelling work a statistical narrow band model for the gas properties and Mie- or Rayleigh theory for the particle properties.

Get Price### Statistical Modelling of the Relationship Between Bearing

tests/analysis which include determination of particle size separation of fines content from the coarse fraction by wet sieving reconstitution of the fines and the coarse fractions in varying proportions of fines to coarse ratios from 0 100 in 10 increments and laboratory tests leading to the determination of the bearing capacity.

Get Price### Receptor modelling of both particle composition and

Abstract. Some air pollution datasets contain multiple variables with a range of measurement units and combined analysis using positive matrix factorization (PMF) can be problematic but can offer benefits through the greater information content. In this work a novel method is devised and the source apportionment of a mixed unit dataset (PM 10 mass and number size distribution NSD) is

Get Price### Statistical modeling and optimization of the combustion

· Increasing the efficiency of combustion in the precalciner was the object of numerous simulations and modeling Iliuta et al. investigated the influence of operating conditions on the level of calcination and made a sensitivity analysis of their model with respect to combustion/calcination parameters. Ranade et al. Hu et al. and Lu et al. based on their parametric sensitivities on

Get Price### Characterizations of particle size distribution of the

· Similar predominant particle size range can be found between the bimodal distribution of this work and the results given by Loudon Roberts and Xie et al. but more droplets are found in the size range of 5–20 µm according to the results of Chao et al. and Duguid. Many reasons may cause these significant differences.

Get Price### GMDModelling the mineralogical composition and

· Abstract. Modelling of mineral dust is often done using one single mean species. But for biogeochemical studies it could be useful to access to a more detailed information on differentiated mineral species and the associated chemical composition. Differentiating between mineral species would also induce different optical properties and densities and then different radiative impact transport

Get Price### Analysis and Modelling of Mineral and Element

The second main stage corresponds to modelling. The first modelling part was the methodology of fitting measured data into a size reduction model. The second part corresponds developing a model capable predictingof the rare metal concentration as a function of the particle size distribution after a cycle of the compression crushing process.

Get Price### Statistical modelling of spatial and temporal variation in

Ultrafine particles (UFP) pose a risk to human health but due to the multitude of sources and fast transformation in the urban atmosphere quantifying the exposure is challenging. Furthermore physical properties of aerosol particles depend on the particle size. Statistical models are used to quantify spatial and temporal variation of UFP but rarely used for particle number size distribution

Get Price### Statistical estimation of stratospheric particle size

Modelling tion ranging from a binary H2 SO4 /H2 O solution to a ternary the composition allows us to account for the rapid variations H2 SO4 /HNO3 /H2 O (STS) solution (Larsen 2000 Luo et al. of the particle composition and hence the refractive index 1996 Krieger et al. 2000) for every size distribution in the around the PSC type Ib

Get Price### Statistical estimation of stratospheric particle size

Modelling tion ranging from a binary H2 SO4 /H2 O solution to a ternary the composition allows us to account for the rapid variations H2 SO4 /HNO3 /H2 O (STS) solution (Larsen 2000 Luo et al. of the particle composition and hence the refractive index 1996 Krieger et al. 2000) for every size distribution in the around the PSC type Ib

Get Price### Modelling and validation of particle size distributions of

· Abstract. The particle size of supported catalysts is a key characteristic for determining structure–property relationships. It is a challenge to obtain this information accurately and in situ using crystallographic methods owing to the small size of such particles (<5 nm) and the fact that they are supported. In this work the pair distribution function (PDF) technique was used to obtain

Get Price### Properties of Small Metallic Particles

· melting temperature depend on particle size. With the advent of new nanotechnologies the study of such particles has become even more relevant. This project has involved modelling the effects on melting temperature with respect to changes in particle size shape crystal structure and chemical composition.

Get Price### Statistical modelling of the interplay between solute

The objective of the present study is to use geometric and statistical modelling to determine the effect of particle elongationfrom spherical to being increasingly prolate ellipsoidalon the possibility of entering the pore and in turn on the macroscopic distribution coefficient K and overall retention during filtration.

Get Price### Statistical estimation of stratospheric particle size

Modelling tion ranging from a binary H2 SO4 /H2 O solution to a ternary the composition allows us to account for the rapid variations H2 SO4 /HNO3 /H2 O (STS) solution (Larsen 2000 Luo et al. of the particle composition and hence the refractive index 1996 Krieger et al. 2000) for every size distribution in the around the PSC type Ib

Get Price### Statistical modelling of the interplay between solute

The objective of the present study is to use geometric and statistical modelling to determine the effect of particle elongationfrom spherical to being increasingly prolate ellipsoidalon the possibility of entering the pore and in turn on the macroscopic distribution coefficient K and overall retention during filtration.

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