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Computational Materials Science: The Simulation of Materials Microstructures and Properties [Hardcover]

Dierk Raabe (Author)
4.0 out of 5 stars  See all reviews (1 customer review)


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Hardcover, October 13, 1998 --  

Book Description

October 13, 1998 3527295410 978-3527295418 1
Modeling and simulation play an ever increasing role in the development and optimization of materials.
Computational Materials Science presents the most important approaches in this new interdisciplinary field of materials science and engineering. The reader will learn to assess which numerical method is appropriate for performing simulations at the various microstructural levels and how they can be coupled.
This book addresses graduate students and professionals in materials science and engineering as well as materials-oriented physicists and mechanical engineers.

Editorial Reviews

Review

"This collection of chapters would be useful for graduate students, scientists, and engineers working in this field." (Materials and Manufacturing Processes, May 2006)

"The recently published book on Continuum Scale Simulation of Engineering Materials ... provides an updated excellent overview on the computational modeling above the atomic scale of a wide variety of problems related to advanced engineering materials.... It should be considered as one of the important reference books in the area of computational material science."
—Professor Dr. R? Bormann, Dr. Christian Hartwig, (Advanced Engineering Materials, Vol.6 - No. 10, October 2004) --This text refers to an alternate Hardcover edition.

From the Back Cover

This book presents our current knowledge and understanding of continuum-based concepts behind computational methods used for microstructure and process simulation of engineering materials above the atomic scale. While the area of ground-state and molecular dynamics simulation techniques has recently been reviewed in some excellent overviews no such collection was presented for the field of continuum scale materials simulation concepts. This book tries to fill that gap.

By presenting in this volume a spectrum of different computational approaches to materials we also hope to initiate the development of corresponding virtual laboratories in the industry in which these methods are exploited. Another field which might substantially profit from the field of computational continuum materials science is the domain of computational bio-materials science which increasingly makes use of modeling approaches which have been developed by the materials community.

We feel that students and scientists who increasingly work in the field of continuum-based materials simulations should have a chance to compare the different methods in terms of their respective particular weaknesses and advantages. Such critical evaluation is important since continuum models do as a rule not emerge directly from ab-initio calculations. In other words, continuum simulations of materials rely on approximate constitutive models which are usually not derived by the help of quantum mechanics. This means that one should carefully check the underlying model assumptions of such approaches with respect to their applicability to a given problem. We hope that this volume provides a good overview on the different methods and train the reader in its ability to identify appropriate approaches to the new challenges emerging every day in this exciting domain.

Continuum-based simulation approaches cover a wide class of activities in the materials research community ranging from basic thermodynamics and kinetics to large scale structural materials mechanics and microstructure-oriented process simulations. This spectrum of tasks is matched by a variety of simulation methods. The volume, therefore, consists of three main parts. The first one presents basic overview chapters which cover fundamental key methods in the field of continuum scale materials simulation. Prominent examples are the phase field model, cellular automata, crystal elasticity-plasticity finite element methods, Potts models, lattice gas approaches, discrete dislocation dynamics, yield surface plasticity, as well as artificial neural networks. The second one presents applications of these methods to the prediction of microstructures.

This part deals with explicit simulation examples such as phase field simulations of solidification, modeling of dendritic structures by means of cellular automata, phase field simulations of solid-state phase transformations and strain/stress-dominated microstructure evolution, statistical theory of grain growth, curvature-driven grain growth and coarsening including the motion of multiple interfaces, deformation and recrystallization of particle-containing aluminum alloys, cellular automaton simulation with variable cell size of grain growth, vertex grain boundary modeling, fluid mechanics of suspensions, thermal activation in discrete dislocation dynamics, statistical dislocation modeling, discrete dislocation simulations of thin film plasticity and brittle to ductile transition in fracture mechanics, coarse graining of dislocation dynamics, constitutive modeling of polymer deformation, Taylor-type homogenization methods for texture and anisotropy, continuum thermodynamic modeling, self consistent homogenization methods for texture and anisotropy , crystal plasticity finite element simulations, texture component crystal plasticity finite element methods, coupling of continuum fields to materials properties through microstructure (the OOF project), micromechanical simulations of composites, as well as computational fracture mechanics. --This text refers to an alternate Hardcover edition.


Product Details

  • Hardcover: 400 pages
  • Publisher: Wiley-VCH; 1 edition (October 13, 1998)
  • Language: English
  • ISBN-10: 3527295410
  • ISBN-13: 978-3527295418
  • Product Dimensions: 9.8 x 6.8 x 1 inches
  • Shipping Weight: 2 pounds
  • Average Customer Review: 4.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Best Sellers Rank: #9,432,531 in Books (See Top 100 in Books)

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4.0 out of 5 stars Handy textbook, February 4, 2004
By 
Newton Ooi (Phoenix, Arizona United States) - See all my reviews
(REAL NAME)   
This review is from: Computational Materials Science: The Simulation of Materials Microstructures and Properties (Hardcover)
This book is one of the few texts dedicated solely to computational materials sciece; exclusive of topics in computational chemistry/physics (spectroscopy, band structure, brillouin zone scattering, diffraction, etc...). As such, their is only a brief coverage of quantum mechanics and related topics such as density functional theory, quantum Monte Carlo, Green's functions, etc... This is why I gave it four stars instead of five. With this exception, the book does a great job of covering simulations across all time/spatial scales from dislocation dynamics, finite element modeling, cellular automata, etc...

This is a perfect textbook for a senior level/graduate computational materials science classes that exclude quantum mechanics. The amount of math is enough for readers to know the important equations; but there are no tedious derivations.

The book also lists important applications and publications for each type of modeling. I would not purchase this book though because it is authored in 1998, which is ancient history compared to when I am writing this review (2004)with respect to the field of computational materials science.

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First Sentence:
The principles of diffusion controlled phase transformations have been known for a long time. Read the first page
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Monte Carlo, Van Houtte, New York, Physical Review, International Journal of Plasticity, Academic Press, Cambridge University Press, Mater Process Tech, Long-Qing Chen Copyright, Philosophical Magazine, Mech Sci, Dierk Raabe, Diaz de la Rubia, Interface Science, Mat Proc Technol, John Wiley, Advanced Engineering Materials, Advanced Technology of Plasticity, Arta Materialia, Radial Basis Function Network, The Institute of Materials, Herring Condition, Modelling Simul, Dierk Raahe, Frederic Barlat
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