Offering a comprehensive treatment of adhesive particle flows, this book adopts a particle-level approach oriented toward directly simulating the various fluid, electric field, collision, and adhesion forces and torques acting on the particles, within the framework of a discrete-element model. It is ideal for professionals and graduate students working in engineering and atmospheric and condensed matter physics, materials science, environmental science, and other disciplines where particulate flows have a significant role. The presentation is applicable to a wide range of flow fields, including aerosols, colloids, fluidized beds, and granular flows. It describes both physical models of the various forces and torques on the particles as well as practical aspects necessary for efficient implementation of these models in a computational framework.
This thesis proposes new approaches for modelling contacting interactions and electrostatic interactions between microparticles in the framework of the discrete element method and presents a systematic investigation on the agglomeration, migration and deposition of microparticles in presence of electrostatic and flow fields. It reports an exponential-form scaling for the size distribution of early-stage agglomerates in homogeneous isotropic turbulence and formulate the agglomeration and deagglomeration rates. The evolution of spherical clouds of charged particles that migrate under the action of an external electrostatic field is then investigated. Scaling laws of cloud radius and particle number density are obtained by solving a continuum convection equation. Finally, it investigates the deposition of charged particles on a flat plane and fibers. A dimensionless adhesion parameter is constructed to predict the structure of deposits. The temporal evolution of the deposit structure, particle capture efficiency, and the pressure drop are displayed with varying values of Coulomb repulsion and adhesion magnitudes.
Written by leading multiphase flow and CFD experts, this book enables engineers and researchers to understand the use of PBM and CFD frameworks. Population balance approaches can now be used in conjunction with CFD, effectively driving more efficient and effective multiphase flow processes. Engineers familiar with standard CFD software, including ANSYS-CFX and ANSYS–Fluent, will be able to use the tools and approaches presented in this book in the effective research, modeling and control of multiphase flow problems. - Builds a complete understanding of the theory behind the application of population balance models and an appreciation of the scale-up of computational fluid dynamics (CFD) and population balance modeling (PBM) to a variety of engineering and industry applications in chemical, pharmaceutical, energy and petrochemical sectors - The tools in this book provide the opportunity to incorporate more accurate models in the design of chemical and particulate based multiphase processes - Enables readers to translate theory to practical use with CFD software
This book is devoted to the Discrete Element Method (DEM) technique, a discontinuum modelling approach that takes into account the fact that granular materials are composed of discrete particles which interact with each other at the microscale level. This numerical simulation technique can be used both for dispersed systems in which the particle-particle interactions are collisional and compact systems of particles with multiple enduring contacts. The book provides an extensive and detailed explanation of the theoretical background of DEM. Contact mechanics theories for elastic, elastic-plastic, adhesive elastic and adhesive elastic-plastic particle-particle interactions are presented. Other contact force models are also discussed, including corrections to some of these models as described in the literature, and important areas of further research are identified. A key issue in DEM simulations is whether or not a code can reliably simulate the simplest of systems, namely the single particle oblique impact with a wall. This is discussed using the output obtained from the contact force models described earlier, which are compared for elastic and inelastic collisions. In addition, further insight is provided for the impact of adhesive particles. The author then moves on to provide the results of selected DEM applications to agglomerate impacts, fluidised beds and quasi-static deformation, demonstrating that the DEM technique can be used (i) to mimic experiments, (ii) explore parameter sweeps, including limiting values, or (iii) identify new, previously unknown, phenomena at the microscale. In the DEM applications the emphasis is on discovering new information that enhances our rational understanding of particle systems, which may be more significant than developing a new continuum model that encompasses all microstructural aspects, which would most likely prove too complicated for practical implementation. The book will be of interest to academic and industrial researchers working in particle technology/process engineering and geomechanics, both experimentalists and theoreticians.
Whenever a curved surface interacts with another surface, the principles of adhesion are at work. From the cells in your body to the dust on your glasses, intermolecular forces cause materials to attract one another. Elastic deformations resulting from these adhesive interactions store strain that can be liberated during particle detachment. Time dependent changes in adhesion can result from plastic deformation that both increases the real effective contact area and reduces the stored energy available to assist in particle removal. Processes such as these, based on the fundamentals tenets of particle adhesion, are now finding applications across many disciplines leading to a rich and rapid development of knowledge. This book documents the use of particle adhesion concepts in a variety of disciplines. Fields as varied as the cleaning of semiconductors, to the controlling of cancer metastasis, to the abatement of environmental pollution all benefit from applications of particle adhesion concepts.
This popular science title covers adhesion science in an easily accessible entertaining manner. As well as outlining types of adhesion and their importance in everyday life, the book covers interesting future applications of adhesion and inspiration taken from nature. Ideal for students and the scientifically minded reader this book provides a fascinating introduction to the science of what makes things stick.
Explains the physics and chemistry of adhesion, surface preparation and testsPresents new strategies for formulating superior strong, weak and pressure-sensitive adhesivesIncludes access to unique electronic apps that enable numerical modeling of adhesives This technical bound book explains the basic principles of adhesion and shows how they are used to formulate and improve adhesives. The volume starts by laying out key physical and chemical concepts underlying adhesion and adhesives, including strong and weak bonds plus pressure-sensitive (PSA) across multiple polymer, metal and ceramic adherends. The ideas are expressed in clear and easily understood mathematical formulas that explain surface properties as well as "good" and "bad" adhesion, with the latter covering multiple types of adhesive failure. In this context, the book presents a detailed explanation of methods to predict, test and formulate adhesives and critically analyzes test results and traditionally accepted rules for adhesive formulation. The eBook version includes online access to a unique set of applied computer programs or "apps" that automate a wide range of adhesive formulas and enable readers to input their own data and numerically model adhesion properties in conjunction with, or prior to, chemical compounding and empirical testing. This volume constitutes a lucid and practical introduction to adhesion and adhesives appropriate for specialists at all levels.
Lattice-gas cellular automata (LGCA) and lattice Boltzmann models (LBM) are relatively new and promising methods for the numerical solution of nonlinear partial differential equations. The book provides an introduction for graduate students and researchers. Working knowledge of calculus is required and experience in PDEs and fluid dynamics is recommended. Some peculiarities of cellular automata are outlined in Chapter 2. The properties of various LGCA and special coding techniques are discussed in Chapter 3. Concepts from statistical mechanics (Chapter 4) provide the necessary theoretical background for LGCA and LBM. The properties of lattice Boltzmann models and a method for their construction are presented in Chapter 5.