دسترسی نامحدود
برای کاربرانی که ثبت نام کرده اند
برای ارتباط با ما می توانید از طریق شماره موبایل زیر از طریق تماس و پیامک با ما در ارتباط باشید
در صورت عدم پاسخ گویی از طریق پیامک با پشتیبان در ارتباط باشید
برای کاربرانی که ثبت نام کرده اند
درصورت عدم همخوانی توضیحات با کتاب
از ساعت 7 صبح تا 10 شب
ویرایش: 1 نویسندگان: Li. Jinghai, Marin. Guy B سری: Advances in Chemical Engineering Volume 46 ISBN (شابک) : 0128012471, 0128013540 ناشر: Academic Press is an imprint of Elsevier سال نشر: 2015 تعداد صفحات: 377 زبان: English فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) حجم فایل: 64 مگابایت
در صورت تبدیل فایل کتاب Mesoscale modeling in chemical engineering. Part I به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب مدل سازی در مقیاس میانی در مهندسی شیمی. قسمت اول نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
Focusing Mesoscales of Multiscale Problems in Chemical Engineering, a volume in the Advances in Chemical Engineering series provides readers with the personal views of recognized authorities who present assessments of the state-of-the-art in the field and help readers develop an understanding of its further evolution.
Subjects covered in the book are not limited to the classical chemical engineering disciplines. Contributions connecting chemical engineering to related scientific fields, either providing a fundamental basis or introducing new concepts and tools, are encouraged.
This volume aims to create a balance between well developed areas such as process industry, transformation of materials, energy, and environmental issues, and areas where applications of chemical engineering are more recent or emerging.
Content: Front Cover
Mesoscale Modeling in Chemical Engineering Part I
Copyright
Contents
Contributors
Preface
Opportunities and Challenges: Both at Mesoscales
Chapter One: Unified Design Strategies for Particulate Products
1. Introduction
2. Hierarchical Products and Processes
3. Product Properties
4. Product Design
4.1. Particle Formation
4.1.1. Top-Down Approaches
4.1.2. Bottom-Up Methods
4.2. Interactions
4.3. Structure Formation
4.3.1. Equilibrium Structures
4.3.2. Nonequilibirium Structures
4.4. Characterization Along the Process Chain. 4.5. Multiscale Modeling and Simulation (MSS)4.6. Integration of Particles into Devices
Case1: Particulate Thin Films
Case2: Additive Manufacturing (3D Printing)
5. Processes and Properties by Design
5.1. Sensitivities of Parameter-Dependent Initial Value Problems
5.2. General Model-Based Optimal Control Setting
5.3. Examples of Optimization
Example1: Synthesis of Si Nanoparticles in the Gas Phase
Example2: Ripening of ZnO Quantum Dots in Liquid Phase
Example3: Shape Optimization in Particle Technology
6. Conclusions
Acknowledgements
References. Chapter Two: Multiscale Analysis of a Coating Process in a Wurster Fluidized Bed Apparatus1. Introduction
2. Multiscale Simulation Framework
2.1. Macroscale
2.2. Mesoscale
2.2.1. Modeling of Droplets as Discrete Elements
2.2.2. Uniform Wetting Zone
2.3. Microscale
2.3.1. Discrete Particle Model
2.3.2. Scaled Discrete Particle Model
2.4. Submicroscale
3. Experimental Estimation of the Material Parameters
3.1. Studied Materials
3.2. Compression Test of Particles
3.2.1. Experimental Method
3.2.2. Description of Elastic Contact Deformation with the Hertz Theory. 3.2.3. Results of the Compression Tests3.3. Shear Test of Particles
3.4. Collision Tests of Particles
4. Analysis of the Process Behavior
4.1. Apparatus Geometry
4.2. Process and Material Parameters
4.3. Results of the Microscale Simulation
4.3.1. Particle and Fluid Dynamics in the Wurster Tube and Annulus
4.4. Mesoscale Model
4.5. Macroscale Calculations
5. Conclusions
Acknowledgments
References
Chapter Three: Euler-Lagrange Modeling of the Hydrodynamics of Dense Multiphase Flows
1. Introduction
2. Governing Equations for the Continuous and Discrete Phases. 2.1. Balance Equations for the Continuous Phase2.2. Equations of Motion for the Discrete Phase
2.3. Interphase Momentum Transfer
2.4. From the Eulerian Grid to Lagrangian Positions and Back
2.5. Numerical Techniques: Deterministic Approach
2.6. Numerical Techniques: Stochastic Approach
3. Dimensionless Numbers for Multiphase Flows
4. Flows with Particles: Discrete Particle Models (CFD-DEM)
4.1. Particle-Fluid Interactions
4.2. Particle-Particle Interaction
4.3. Application: Gas-Solid Fluidized Beds
5. Flows with Bubbles: DBMs
5.1. Bubble Interactions.