Study of Packing and Hopper Discharge of Non-Spherical Particles PDF Download
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Author: Henna Tangri
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Author: Henna Tangri
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Author: Richard S. Fowkes
Publisher:
ISBN:
Category : Compacting
Languages : en
Pages : 40
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Author: 黃暉然
Publisher:
ISBN:
Category : Granular materials
Languages : en
Pages : 216
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Author: Vivian Wong
Publisher: Open Dissertation Press
ISBN: 9781361012888
Category : Technology & Engineering
Languages : en
Pages : 240
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This dissertation, "A 3-parameter Particle Packing Model for Spherical and Non-spherical Particles" by Vivian, Wong, 黃暉然, was obtained from The University of Hong Kong (Pokfulam, Hong Kong) and is being sold pursuant to Creative Commons: Attribution 3.0 Hong Kong License. The content of this dissertation has not been altered in any way. We have altered the formatting in order to facilitate the ease of printing and reading of the dissertation. All rights not granted by the above license are retained by the author. Abstract: In many fields of industries, it has been found that the properties of granular materials are intimately related to their packing densities. To find the particle size distribution for optimum packing density rendering the best performance of granular materials, it is useful to have a particle packing model which can accurately predict the packing density of granular materials. Nevertheless, the development of particle packing model is difficult and complex as there are many factors affecting packing density including particle shape, packing method and formation of agglomerates between cohesive fine particles. Even for binary mixes of particles, the existing 2-parameter model which takes into account the loosening effect and the wall effect and assumes a linear relationship between specific volume (reciprocal of packing density) and volumetric fractions of particles, does not give satisfactory prediction. Through comprehensive experimental study, the author has found that the deviations from experimental results are caused by the wedging effect of the fine particles situating at the gaps between the coarse particles producing extra voids. The newly identified wedging effect was incorporated into the 3-parameter model, in which the specific volume is no longer a linear function of the volumetric fractions. This thesis presents the further development of the 3-parameter model, which is extended to ternary mixes and multi-component mixes of spherical and non-spherical particles with various factors affecting packing density taken into account. In extending the 3-parameter model to ternary mixes and multi-component mixes of particles, an approach was adopted so that the final packing density of the mixture consisting of several size classes was taken as the minimum of those determined from a set of equations, each corresponding to one dominant size class. The extended model was verified using the experimental results of spherical particles obtained from this study and cylindrical particles obtained from the literature. The accuracy of the model was also compared to other existing models for multi-component mixes, such as the 2-parameter model and the compressible packing model. For more general applications to angular aggregate particles, the 3-parameter model was modified by a number of adjustments which include the re-derivation of the interaction functions of the three parameters accounting for the loosening, wall and wedging effects under both uncompacted and compacted packing conditions. However, it was demonstrated that without the consideration of the formation of agglomerates between cohesive fine particles, which would produce extra voids known as the agglomeration effect, would result in interaction functions giving unreasonable interpretation of the various interaction effects. Consequently, the 3-parameter model was also modified to account for the agglomeration effect. Finally, for application in concrete industry, the 3-parameter model was also modified for continuous grading of aggregate particles, which would be helpful in determining the optimum particle size distribution of aggregate particles so as to further improve the performance of concrete. Overall, the modified and extended 3-parameter model was verified to provide accurate prediction and would be a useful tool for optimizing the particle size distribution in various fields of industries.
Author: William Alan Gray
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Author: Xikui Li
Publisher: Springer
ISBN: 9811019266
Category : Science
Languages : en
Pages : 1414
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This book presents the latest advances in Discrete Element Methods (DEM) and technology. It is the proceeding of 7th International Conference on DEM which was held at Dalian University of Technology on August 1 - 4, 2016. The subject of this book are the DEM and related computational techniques such as DDA, FEM/DEM, molecular dynamics, SPH, Meshless methods, etc., which are the main computational methods for modeling discontinua. In comparison to continua which have been already studied for a long time, the research of discontinua is relatively new, but increases dramatically in recent years and has already become an important field. This book will benefit researchers and scientists from the academic fields of physics, engineering and applied mathematics, as well as from industry and national laboratories who are interested in the DEM.
Author: Siqiang Wang
Publisher: Springer Nature
ISBN: 9819999278
Category : Technology & Engineering
Languages : en
Pages : 240
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This book focuses on discrete element methods for arbitrarily shaped granular materials, including super-quadric models, spherical harmonic functions and level set methods, and numerical analysis of the flow characteristics of non-spherical granular materials. This book is used as a reference book for scientific researchers engaged in dynamic analysis of granular materials and optimal design of equipment structures in the fields of engineering mechanics, applied physics, mechanical engineering, and chemical engineering, as well as for graduate students or senior undergraduates of related majors in institutions of higher education.
Author: Kuldeep Mamtani
Publisher:
ISBN:
Category :
Languages : en
Pages :
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ABSTRACT: The discharge rates for granular materials of various shapes and sizes from a rectangular flat-bottomed hopper with a rectangular orifice at the base were measured and compared to those predicted by the correlations in the literature. The predicted discharge rates by modified Beverloo's correlation and Fowler and Glastonbury's correlation differed from the measured values for most spherical materials by less than 10%. Harmens's correlation predicted discharge rates in good agreement with the measured values for spherical materials larger than 1000 ... Modified Beverloo's correlation predicted discharge rates deviating by a maximum of 10% from the measured rates for non-spherical materials with an aspect ratio around unity and/or high roundness. However, the correlation significantly overestimated the actual discharge rates for materials with a high aspect ratio and/or low roundness and/or angular surface. Harmens's correlation also failed to accurately predict discharge rates for such materials, though it gave better predictions when compared to modified Beverloo's correlation.
Author: Byung-Hwan Chu
Publisher:
ISBN:
Category :
Languages : en
Pages :
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ABSTRACT: Many industrial processes including food, mining, and pharmaceuticals involve handling mixtures of granular materials. The tendency of granular materials to segregate due to differences in particle properties such as, size, shape, and density negatively affects the process efficiency and product quality. Our study focused on segregation of particles in hopper flow with the following conditions: well-mixed initial fill, funnel flow, and cylindrical hopper geometry. Glass beads and steel shots in three particle sizes each are used to investigate the effect of size ratio and density difference on particle segregation. Also, to study the effect of particle shape on segregation of particles, crushed glass in two sizes is used. Results show that size-segregation patterns are initially fines-rich and then fines-depleted at the end of discharge. Segregation increases for larger particle size ratios and decreases for fines fractions that are above 10%. The extent of segregation for mixtures of crushed glasscrushed glass is not significantly different from spherical glass mixtures. Given the same size ratio, mixtures consisting of smaller particles show less segregation. The segregation trend due to density effects is initially rich in particles with the higher density and then rich in the particles with the lower density at the end of the discharge.
Author: Shankar Subramaniam
Publisher: Academic Press
ISBN: 0323901344
Category : Technology & Engineering
Languages : en
Pages : 588
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Modelling Approaches and Computational Methods for Particle-laden Turbulent Flows introduces the principal phenomena observed in applications where turbulence in particle-laden flow is encountered while also analyzing the main methods for analyzing numerically. The book takes a practical approach, providing advice on how to select and apply the correct model or tool by drawing on the latest research. Sections provide scales of particle-laden turbulence and the principal analytical frameworks and computational approaches used to simulate particles in turbulent flow. Each chapter opens with a section on fundamental concepts and theory before describing the applications of the modelling approach or numerical method. Featuring explanations of key concepts, definitions, and fundamental physics and equations, as well as recent research advances and detailed simulation methods, this book is the ideal starting point for students new to this subject, as well as an essential reference for experienced researchers. - Provides a comprehensive introduction to the phenomena of particle laden turbulent flow - Explains a wide range of numerical methods, including Eulerian-Eulerian, Eulerian-Lagrange, and volume-filtered computation - Describes a wide range of innovative applications of these models
