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Turbulence Models and Their Application: Efficient Numerical Methods with Computer Programs
Tuncer Cebeci
Manufacturer: Springer
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ASIN: 3540402888 |
Book Description
In this book, after a brief review of the more popular turbulence models, we present and discuss accurate and efficient numerical methods for solving the boundary-layer equations with turbulence models based on algebraic formulas (mixing length, eddy viscosity) or partial-differential transport equations. A computer program employing the Cebeci-Smith model and the k-e model for obtaining the solution of two-dimensional incompressible turbulent flows without separation is discussed in detail and is presented in the accompanying CD.
The numerical solution of the boundary-layer equations with flow separation is also discussed and an interactive boundary-layer method developed by the author is described in detail. A computer program for obtaining solutions on airfoils and wakes for a wide range of angles of attack, including stall, is discussed and presented in the accompanying CD. In many respects, this book can be seen as complimentary and supplementary to the author's
Analysis of Turbulent Flows.
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Modeling and Simulation of Dynamic Systems
Robert L. Woods , and
Kent L. Lawrence
Manufacturer: Prentice Hall
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Fundamentals of Heat and Mass Transfer
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Grob's Basic Electronics with Simulation CD
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Engineering Vibrations (3rd Edition)
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Mechanics of Materials (6th Edition)
ASIN: 0133373797 |
Book Description
This book reflects the state-of-the-art and current trends in modeling and simulation.
The book provides comprehensive coverage of 1) the modeling techniques of the major types of dynamic engineering systems, 2) the solution techniques for the resulting differential equations for linear and nonlinear systems, and 3) the attendant mathematical procedures related to the presentation of dynamic systems and determination of their time and frequency response characteristics. It explains in detail how to select all of the system component parameter values for static and dynamic performance specifications and limits.
For anyone interested in systems dynamics, modeling, and interdisciplinary systems.
Customer Reviews:
a keeper.......2004-06-13
I have taken the Modeling course at UT Arlington with Dr. Woods (the author), the book covers modeling techniques for Electrical, mechanical, heat tranfer..systems. it has a practical review of differenitial equations. Also has Practical simulation information. and it is great to keep as a reference.
Average customer rating:
- "vibration analysis using Matlab..." help my life.
- A nice interface between dynamics and FEA
|
Vibration Simulation Using MATLAB and ANSYS
Michael R. Hatch
Manufacturer: Chapman & Hall/CRC
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Modal Testing: Theory, Practice and Application (Mechanical Engineering Research Studies Engineering Design Series)
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ANSYS Workbench Tutorial
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The Finite Element Method and Applications in Engineering Using ANSYS®
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Engineering Analysis with ANSYS Software
ASIN: 1584882050 |
Book Description
Transfer function form, zpk, state space, modal, and state space modal forms. For someone learning dynamics for the first time or for engineers who use the tools infrequently, the options available for constructing and representing dynamic mechanical models can be daunting. It is important to find a way to put them all in perspective and have them available for quick reference. It is also important to have a strong understanding of modal analysis, from which the total response of a system can be constructed. Finally, it helps to know how to take the results of large dynamic finite element models and build small MATLAB® state space models. Vibration Simulation Using MATLAB and ANSYS answers all those needs. Using a three degree-of-freedom (DOF) system as a unifying theme, it presents all the methods in one book. Each chapter provides the background theory to support its example, and each chapter contains both a closed form solution to the problem-shown in its entirety-and detailed MATLAB code for solving the problem. Bridging the gap between introductory vibration courses and the techniques used in actual practice, Vibration Simulation Using MATLAB and ANSYS builds the foundation that allows you to simulate your own real-life problems. Features · Demonstrates how to solve real problems, covering the vibration of systems from single DOF to finite element models with thousands of DOF · Illustrates the differences and similarities between different models by tracking a single example throughout the book · Includes the complete, closed-form solution and the MATLAB code used to solve each problem · Shows explicitly how to take the results of a realistic ANSYS finite element model and develop a small MATLAB state-space model · Provides a solid grounding in how individual modes of vibration combine for overall system response
Customer Reviews:
"vibration analysis using Matlab..." help my life........2007-09-17
This book is a rule of thumb to people who want to have quick and easy access of programing in the vibration analysis field and is a very step-by-step way to develop your skills in this subject. I recomend it to everybody!
A nice interface between dynamics and FEA.......2001-03-09
This book reviews the basic concepts of both dynamics and FEA. Vibration is a common phenomenon found in every walk of life. Automobile to watches we can see vibrations everywhere. For a vibration engineer, it is important to analyse the system behavior dynamically. This can be achieved using a FEA tool like ANSYS. This book delivers the exact thing one would expect as an interface between dynamics and FEA.
Book Description
This book is intended as a supplement for undergraduate courses in Kinematics or Dynamics of Mechanisms, taught in Mechanical Engineering departments. As a MATLAB® supplement, it can be used with any standard textbook, including Norton's DESIGN OF MACHINERY Second Edition, Erdman/Sandor's MECHANISMS DESIGN, Third Edition, or Mabie/Reinholtz MECHANISMS AND DYNAMICS OF MACHINERY, Fourth Edition. The emphasis of the text is integrating the computational power of MATLAB® into the analysis and design of mechanisms. This new book in Brooks/Cole's Bookware Companion Series is the first to apply the use of MATLAB® to the study of kinematics and dynamics of mechanisms. This book is intended as a useful guide for readers interested in understanding kinematics, or as a reference for practicing mechanical engineers. It provides detailed instruction and examples showing how to use MATLAB® (increasingly, the software program of choice among engineers for complex computations) and its accompanying simulation environment, SIMULINK®, to develop powerful and accurate computer simulations of constrained mechanical systems.
Average customer rating:
- An Excellent Modern Automatic Control text!
- A valuable addition to your library
- A great introduction and reference book
- A great introduction and reference book
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Systems and Control (Engineering & Technology)
Stanislaw H. Zak
Manufacturer: Oxford University Press, USA
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Nonlinear Systems (3rd Edition)
ASIN: 0195150112 |
Book Description
Systems and Control presents modeling, analysis, and control of dynamical systems. Introducing students to the basics of dynamical system theory and supplying them with the tools necessary for control system design, it emphasizes design and demonstrates how dynamical system theory fits into practical applications. Classical methods and the techniques of postmodern control engineering are presented in a unified fashion, demonstrating how the current tools of a control engineer can supplement more classical tools. Broad in scope, Systems and Control shows the multidisciplinary role of dynamics and control; presents neural networks, fuzzy systems, and genetic algorithms; and provides a self-contained introduction to chaotic systems. The text employs Lyapunov's stability theory as a unifying medium for different types of dynamical systems, using it--with its variants--to analyze dynamical system models. Specifically, optimal, fuzzy, sliding mode, and chaotic controllers are all constructed with the aid of the Lyapunov method and its extensions. In addition, a class of neural networks is also analyzed using Lyapunov's method. Ideal for advanced undergraduate and beginning graduate courses in systems and control, this text can also be used for introductory courses in nonlinear systems and modern automatic control. It requires working knowledge of basic differential equations and elements of linear algebra; a review of the necessary mathematical techniques and terminology is provided.
Customer Reviews:
An Excellent Modern Automatic Control text!.......2004-06-06
I highly recommend this text. Very clear, excellent examples and good coverage of the key topics of Modern Automatic (Optimal) Control.
A valuable addition to your library.......2004-01-14
The important link between modeling and control of dynamical systems is once more emphasized in "Systems & Control" by Stanislaw H. Zak. The book is an excellent addition to the control literature as it revisits the mathematical modeling and analysis problems of dynamical systems while addressing the controller design problem by means of a variety of modern techniques.
Chapter 1 introduces the notion of a system and includes numerous examples illustrating the mathematical modeling of dynamical systems by ordinary differential equations. Chapter 2 is devoted to the analysis and approximate solution techniques of the model equations using phase-portraits, numerical methods, linearization and describing functions. Chapter 3 discusses the linear systems and serves as a warm-up for the nonlinear control methods to be addressed in the subsequent
chapters. Chapter 4 presents a thorough stability analysis as well as the essentials of the Lyapunov theory for both linear and nonlinear systems. With a section on the stabilizing state-feedback controllers, the reader also gets acquainted with the controller design based on the Lyapunov theory. Chapter 5 is dedicated to the optimal control of the dynamical systems. Especially, the section titled "A Glimpse at the Calculus of Variations" is very helpful in the sense that it equips the reader with the necessary tools required for the rest of the chapter. Variable structure systems are discussed and the design of sliding mode controllers is illustrated in Chapter 6. In Chapter 7, a combined controller-estimator compensator is designed for a class of dynamical systems using Lie derivatives and the vector field methods. Chapter 8 provides a comprehensive discussion of fuzzy logic and illustrates novel control strategies by fuzzy models including stabilizing and adaptive controllers. Chapter 9 is devoted to the study of neural networks from a dynamical system point of view. Genetic and evolutionary algorithms are studied in Chapter 10. Tracking control of a vehicle is accomplished by using an evolutionary fuzzy logic controller. Chapter 11 discusses the chaotic systems and fractals. The control of chaotic systems is also illustrated by an example in this chapter. An appendix on the essentials of mathematical background complements the material presented in this book.
The book is written in a textbook format and makes use of an understandable notation. It is well structured and the presentation is easy to follow making it useful as an upper level undergraduate or graduate level text. It will also be beneficial to researchers and practicing engineers as it covers the state-of-the-art control techniques. Each chapter is accompanied by a variety of examples and exercises to illustrate the applicability of the methods discussed. The book uses MATLAB/SIMULINK as a tool to provide a unifying environment for simulation purposes. With its extensive coverage of the current literature, it also serves as a reference book. The most powerful aspect of this book is that it establishes a bridge between the classical control problems and the most recent trends in control engineering. In conclusion, "Systems & Control" will be a valuable addition to the libraries of those interested in control of dynamical systems.
A great introduction and reference book.......2003-03-27
This book covers a wide area of topics in systems and control theory and applications. In addition to the analysis of stability and optimal control in linear and nonlinear systems, the text provides a very good introduction to fuzzy systems, neural networks, genetic algorithms and chaotic systems. As the author states, the scope of the topics presented tries to emphasize the multidisciplinary role of nonlinear dynamics and control. By providing examples where the techniques of fuzzy logic, genetic algorithms and neural networks are used in real life control problems, it is shown how these new approaches complement the classical ones. To this end, Lyapunov's stability theory is employed as the common medium of analysis. This type of presentation facilitates a deeper understanding of the material by bringing the focus of different areas in the context of control and stability problem.
The book is well suited for senior or graduate course work and its comprehensive nature makes it also an excellent reference text for people who are interested in dynamical systems and control theory. A basic knowledge of linear algebra and calculus would be sufficient to understand most of the material covered and a brief mathematical background review is provided in the appendix. The fundamental concepts and how they relate to each other are clearly presented. The detailed worked out examples, taken mostly from literature or practical applications, form an integral part of the book and in some cases, used as a means to illustrate the theory itself. Many exercises, some involving software projects in MATLAB, are also provided at the end of each chapter.
This text offers a thorough and practical treatment of systems and control and provides a solid foundation for anyone in the field and is highly recommended.
A great introduction and reference book.......2003-03-27
This book covers a wide area of topics in systems and control theory and applications. In addition to the analysis of stability and optimal control in linear and nonlinear systems, the text provides a very good introduction to fuzzy systems, neural networks, genetic algorithms and chaotic systems. As the author states, the scope of the topics presented tries to emphasize the multidisciplinary role of nonlinear dynamics and control. By providing examples where the techniques of fuzzy logic, genetic algorithms and neural networks are used in real life control problems, it is shown how these new approaches complement the classical ones. To this end, Lyapunov's stability theory is employed as the common medium of analysis. This type of presentation facilitates a deeper understanding of the material by bringing the focus of different areas in the context of control and stability problem.
The book is well suited for senior or graduate course work and its comprehensive nature makes it also an excellent reference text for people who are interested in dynamical systems and control theory. A basic knowledge of linear algebra and calculus would be sufficient to understand most of the material covered and a brief mathematical background review is provided in the appendix. The fundamental concepts and how they relate to each other are clearly presented. The detailed worked out examples, taken mostly from literature or practical applications, form an integral part of the book and in some cases, used as a means to illustrate the theory itself. Many exercises, some involving software projects in MATLAB, are also provided at the end of each chapter.
This text offers a thorough and practical treatment of systems and control and provides a solid foundation for anyone in the field and is highly recommended.
Average customer rating:
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Model Order Reduction Techniques: with Applications in Finite Element Analysis
Zu-Qing Qu
Manufacturer: Springer
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Accessories:
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Understanding Materials Science: History, Properties, ApplicationsSecond Edition
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Engineering Damage Mechanics: Ductile, Creep, Fatigue and Brittle Failures
-
Science of Microscopy
ASIN: 1852338075 |
Book Description
Despite the continued rapid advance in computing speed and memory the increase in the complexity of models used by engineers persists in outpacing them. Even where there is access to the latest hardware, simulations are often extremely computationally intensive and time-consuming when full-blown models are under consideration.
The need to reduce the computational cost involved when dealing with high-order/many-degree-of-freedom models can be offset by adroit computation. In this light, model-reduction methods have become a major goal of simulation and modeling research. Model reduction can also ameliorate problems in the correlation of widely used finite-element analyses and test analysis models produced by excessive system complexity.
Model Order Reduction Techniques explains and compares such methods focusing mainly on recent work in dynamic condensation techniques:
- Compares the effectiveness of static, exact, dynamic, SEREP and iterative-dynamic condensation techniques in producing valid reduced-order models;
- Shows how frequency shifting and the number of degrees of freedom affect the desirability and accuracy of using dynamic condensation;
- Answers the challenges involved in dealing with undamped and non-classically damped models;
- Requires little more than first-engineering-degree mathematics and highlights important points with instructive examples.
Academics working in research on structural dynamics, MEMS, vibration, finite elements and other computational methods in mechanical, aerospace and structural engineering will find
Model Order Reduction Techniques of great interest while it is also an excellent resource for researchers working on commercial finite-element-related software such as ANSYS and Nastran.
Average customer rating:
- Good for practical introduction on how to develop your code
- Very good Introductory book
- A Good Book With Basic Information
|
Numerical Simulation in Fluid Dynamics: A Practical Introduction (Monographs on Mathematical Modeling and Computation)
Michael Griebel ,
Thomas Dornsheifer , and
Tilman Neunhoeffer
Manufacturer: SIAM: Society for Industrial and Applied Mathematics
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Partial Differential Equations (Graduate Studies in Mathematics, V. 19) GSM/19 (Graduate Studies in Mathematics)
ASIN: 0898713986 |
Book Description
In this translation of the German edition, the authors provide insight into the numerical simulation of fluid flow. Using a simple numerical method as an expository example, the individual steps of scientific computing are presented: the derivation of the mathematical model; the discretization of the model equations; the development of algorithms; parallelization; and visualization of the computed data. In addition to the treatment of the basic equations for modeling laminar, transient flow of viscous, incompressible fluids - the Navier-Stokes equations - the authors look at the simulation of free surface flows; energy and chemical transport; and turbulence. Readers are enabled to write their own flow simulation program from scratch. The variety of applications is shown in several simulation results, including 92 black-and-white and 18 color illustrations. After reading this book, readers should be able to understand more enhanced algorithms of computational fluid dynamics and apply their new knowledge to other scientific fields.
Customer Reviews:
Good for practical introduction on how to develop your code.......2006-06-03
I found this a very good book in terms of developing your own code.
It is not extremely detailed in terms of all the methods exsisting in computational fluid dynamics, but it gives you those information that for a beginner might be hard to find. Good practical exemples of STAGGERED Grid discretization and a detail explanation on the development of a N-S solver also for FREE SURFACE problems.
Practical things as writing a makefile or how to set your code environment are explained aside of the mathematical analysis of the numerical methods involved.
I highly reccommend this book to those who studies the subject but never put into practice that knowledge.
The practical computations are specifically described for C-programming.
Very good Introductory book.......2005-03-01
This is a very good introductory book to Computational Fluid Dynamics. It teaches you the way to implement your first code in CFD. Using the MAC (March and Cell) method. It has codes in C, but can be adapted to Fortran very easily.
A Good Book With Basic Information.......2000-03-25
This book is very good for those who have background in Mathematics and are beginning to work with Numerical Simulations in Fluid Dynamics. It gives the mathematical introduction to beginners and contains program excerpts that may help in programming.
Average customer rating:
- A good introduction to Verification and Validation of CFD
|
Aiaa Guide for the Verification and Validation of Computational Fluid Dynamics Simulations
American Institute of Aeronautics and As
Manufacturer: AIAA (American Institute of Aeronautics & Ast
ProductGroup: Book
Binding: Paperback
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ASIN: 1563472856 |
Customer Reviews:
A good introduction to Verification and Validation of CFD.......2001-08-21
The book covers the basics of verification and validation of CFD simulations. It is not an advanced text for scientists, but an introductory text for beginners or CFD engineers. It is divided into 5 chapters, with a solid background presentation in chapter 1, followed by a description of the terminology (chapter 2). In the rest of the book, the author divides the subject into verification (grid and time step sizes tests) and validation (comparasion with previous or experimental data), presenting good descriptions of both itens.
Average customer rating:
|
Dynamics With Friction: Modelling, Analysis and Experiment (Series on Stability, Vibration and Control of Systems, Series B, Vol 7)
Manufacturer: World Scientific Publishing Company
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ASIN: 9810229542 |
Book Description
The dynamics of dissipative mechanical and structural systems is being investigated at various institutions and laboratories worldwide with ever-increasing sophistication of modeling, analysis and experiments.This book offers a collection of contributions from these research centers that represent the state-of-the-art in the study of friction oscillators. It provides the reader with the fruits of a team effort by leaders in this fascinating field.
The present part II of this volume on Dynamics with Friction is a continuation of the previous part I, and is designed to help synthesize our current knowledge regarding the role of friction in mechanical and structural systems as well as everyday life. The topics covered include interaction of vibration and friction at dry sliding contacts, friction-induced instability in disks, dynamics of lubricated flexible links in kinematic chains, modal interactions in periodic structures, dynamics of an experimentally excited beam, transient waves in viscoelastic materials, dynamic stability of plates with damping, friction modeling and dynamic computation, damping through use of passive and semi-active dry friction forces.
This book gives a comprehensive picture of dynamics of dissipative mechanical and structural systems. It also gives an up-to-date account of the present state of the field. It will be of interest to engineers, rheologists, material scientists, applied mathematicians, physicists and historians of science and technology.
Customer Reviews:
review.......2003-11-16
The book is important because most of nature, machines, and structures involve dynamical friction. The preface alone is worth the price of the book, along with a summary of the importance of friction in nearly everything. Excellent technical features are the wide range of simple to complex models, stability versus instability studies, well-presented results, and mathematical
approaches that transverse from the simple to the complex.
Average customer rating:
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Flow Modelling & Turbulence Measurements
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Manufacturer: Taylor & Francis
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ASIN: 9054108266 |
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