Alloy Phase StabilityG.M. Stocks, A. Gonis One of the ultimate goals of materials research is to develop a fun damental and predictive understanding of the physical and metallurgical properties of metals and alloys. Such an understanding can then be used in the design of materials having novel properties or combinations of proper ties designed to meet specific engineering applications. The development of new and useful alloy systems and the elucidation of their properties are the domain of metallurgy. Traditionally, the search for new alloy systems has been conducted largely on a trial and error basis, guided by the skill and intuition of the metallurgist, large volumes of experimental data, the principles of 19th century thermodynamics and ad hoc semi-phenomenological models. Recently, the situation has begun to change. For the first time, it is possible to understand the underlying mechanisms that control the formation of alloys and determine their properties. Today theory can begin to offer guidance in predicting the properties of alloys and in developing new alloy systems. Historically, attempts directed toward understanding phase stability and phase transitions have proceeded along distinct and seemingly diverse lines. Roughly, we can divide these approaches into the following broad categories. 1. Experimental determination of phase diagrams and related properties, 2. Thermodynamic/statistical mechanical approaches based on semi phenomenological models, and 3. Ab initio quantum mechanical methods. Metallurgists have traditionally concentrated their efforts in cate gories 1 and 2, while theoretical physicists have been preoccupied with 2 and 3. |
Contents
20 | |
Electron Microscopy of Ordering in Alloys | 75 |
Quantitative Statistical Description of the Long Period Antiphase | 101 |
Long Period Superlattice Phases in CuAlZn Alloys 119 | 118 |
Effective PairInteractions in Binary Alloys 137 | 136 |
Computer Based Thermochemical Modeling of Multicomponent Phase | 143 |
The Cluster Variation Method and the Calculation of Alloy Phase | 177 |
Long Period Structures in AlloysStatistical Mechanics of | 204 |
Cluster Bethe Lattice Approach to Chemically Disordered Alloys with | 357 |
A Computational | 365 |
Electronic Structure and Magnetic Properties of Impurities in Metals 377 | 376 |
The Electronic Structure and the State of Compositional Order | 421 |
Local Density Theory of Magnetism and Its Interrelation with | 469 |
Configurational Energies in Terms of Effective Cluster Interactions | 509 |
Cluster Interactions and Thermodynamic Properties of AlTransition | 515 |
Strain Controlled Morphologies in the TwoPhase State | 529 |
Spinodal | 233 |
Monte Carlo Calculations of Phase Diagrams of Magnetic Alloys on | 263 |
Hierarchy of Cluster Variational Methods on 3Dimensional Lattices | 269 |
A Criterion for Determining the Tricritical Point | 281 |
Electronic Structure Effective Pair Interactions and Order | 293 |
Quantum Mechanics in Alloy Design 329 | 328 |
TightBinding Hamiltonians | 351 |
The Influence of Lattice Defects on Alloy Phase Diagrams 557 | 556 |
Phase Stability by the Artificial Concentration Wave Method | 585 |
Premartensitic Microstructures as Seen in the High Resolution | 599 |
Annihilation Momentum Density of Positrons Trapped at VacancyType | 607 |
Electronic and Structural Properties of Ordered IIIV Alloys | 621 |
Dynamics of Spinodal Decomposition in Polymer Gels 639 | 638 |
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Common terms and phrases
1989 by Kluwer Acta Alloy Phase Stability alloys ANNNI model antiphase approximation atoms average band structure binary boundaries calculations charge density coex composition concentration configuration contribution correlation functions corresponding crystal structure cubic curve defects dependence diffraction diffuse domain Ducastelle effects elastic energy electronic structure entropy equation equilibrium experimental Fermi energy Fermi surface ferromagnetic FIGURE finite fluctuations free energy G. M. Stocks Gonis eds grand potential Green's function impurity intermetallics Ising model KKR-CPA layers Lett magnetic martensitic matrix mean field theory mechanical method microscopic modulated observed obtained ordered phase pair interactions parameters peak perturbation phase diagram phase separation phonon photoemission Phys plane potential scattering self-consistent shown in Fig shows solid solution spectral function spin spinodal spinodal decomposition sublattice symmetry transformation transition metal unit cell V₁ valence values vector wave