CALPHAD stands for CALculation of PHAse Diagrams, a methodology introduced in 1970 by Larry Kaufman. An equilibrium phase diagram is usually a diagram with axes for temperature and composition of a chemical system. It shows the regions where substances or solutions (i.e. phases) are stable and regions where two or more of them coexist. Phase diagrams are a very powerful tool for predicting the state of a system under different conditions and were initially a graphical method to rationalize experimental information on states of equilibrium. In complex systems, computational methods such as CALPHAD are employed to model thermodynamic properties for each phase and simulate multicomponent phase behavior. The CALPHAD approach is based on the fact that a phase diagram is a manifestation of the equilibrium thermodynamic properties of the system, which are the sum of the properties of the individual phases. It is thus possible to calculate a phase diagram by first assessing the thermodynamic properties of all the phases in a system.
With the CALPHAD method one collects all experimental information on phase equilibria in a system and all thermodynamic information obtained from thermochemical and thermophysical studies. The thermodynamic properties of each phase are then described with a mathematical model containing adjustable parameters. The parameters are evaluated by optimizing the fit of the model to all the information, also involving coexisting phases. It is then possible to recalculate the phase diagram as well as the thermodynamic properties of all the phases. The philosophy of the CALPHAD method is to obtain a consistent description of the phase diagram and the thermodynamic properties so to reliably predict the set of stable phases and their thermodynamic properties in regions without experimental information and for metastable states during simulations of phase transformations.
Thermodynamic modeling of a phase
There are two crucial factors for the success of the CALPHAD method. The first factor is to find realistic as well as convenient mathematical models for the Gibbs energy for each phase. The Gibbs energy is used because most experimental data have been determined at known temperature and pressure and any other thermodynamic quantities can be calculated from it. It is not possible to obtain an exact description of the behavior of the Gibbs energy of a multi-component system with analytical expressions. It is thus necessary to identify the main features and base the mathematical models on them. The discrepancy between model and reality is finally represented by a power series expansion in temperature, pressure and constitution of the phase. The adjustable parameters of these model descriptions are refined to reproduce the experimental data. The strength of the CALPHAD method is that the descriptions of the constituent sub-systems can be combined to describe a multi-component system.
The second crucial factor is the availability of computer software for calculating equilibria and various kinds of diagrams and databases with the stored assessed information. As there are at present many different kinds of models used for different kinds of phases there are several thermodynamic databases available, either free or commercially, for different materials like steels, super-alloys, semiconductor materials, aqueous solutions, slags, etc. There are also several different kinds of software available using different kinds of algorithms for computing the equilibrium. It is an advantage if the software allows the equilibrium to be calculated using many different types of conditions for the system, not only the temperature, pressure and overall composition because in many cases the equilibrium may be determined at constant volume or at a given chemical potential of an element or a given composition of a particular phase.
CALPHAD had a slow start in the 60s but sophisticated thermodynamic data bank systems started to appear in the 80s and today there are several commercial products on the market, e.g. FactSage, MTDATA, PANDAT, MatCalc, JMatPro, and Thermo-Calc as well as open-sources codes such as OpenCalphad, PyCalphad, and ESPEI (see "External links" below). They are used in research and industrial development (e.g., QuesTek Innovations' PrecipiCalc software and Materials by Design Technology), where they save large amounts of time and resources by reducing the experimental work and by making thermodynamic predictions available for multi-component systems that would be practically unattainable without this approach. There is a journal with this name where recent scientific achievements are published but scientific papers describing the use of the CALPHAD methods are published also in many other journals.
- Kaufman L.; Bernstein H. (1970). Computer Calculation of Phase Diagrams. Academic Press NY. ISBN 0-12-402050-X.
- Fabrichnaya Olga B.; Saxena Surendra K.; Richet Pascal; Westrum Edgar F. Jr. (2004). Thermodynamic Data, Models, and Phase Diagrams in Multicomponent Oxide Systems : an Assessment for Materials and Planetary Scientists Based on Calorimetric, Volumetric and Phase Equilibrium Data. Berlin, Heidelberg: Springer Berlin Heidelberg. ISBN 9783662105047. OCLC 851391370.
- Kattner Ursula R. (2016). "The CALPHAD method and its role in material and process development". Tecnol. Metal. Mater. Miner. 13 (1): 3–15. doi:10.4322/2176-1523.1059.
- Lukas H. L.; Fries Suzana G.; Sundman Bo (2007). Computational thermodynamics: the CALPHAD method. Cambridge: Cambridge University Press. ISBN 978-0521868112. OCLC 663969016.
- Saunders N.; Miodownik P. (1998). Cahn R. W. (ed.). Calphad. Pergamon Materials Series, Vol 1. ISBN 0-08-042129-6.
- Y.Austin Chang (2004). "Phase diagram calculation: past, present and future". Progress in Materials Science. 49 (3): 313–345. doi:10.1016/S0079-6425(03)00025-2.
- Zi-Kui Liu; Wang Yi (2016). Computational thermodynamics of materials. Cambridge. ISBN 9780521198967. OCLC 960196125.
- Official CALPHAD website
- Computational Phase Diagram Database (CPDDB), binary databases, free access with a registration
- Open Calphad
- The Thermodynamic DataBase DataBase
- Thermo-Calc software and a wide variety of databases
- Pandat (Multicomponent, and a wide variety of applications)
- Matcalc (free up to three components, open databases available)
- Thermodynamic Modeling of Multicomponent Phase Equilibria
- FactSage Education 7.2
- PyCalphad: CALPHAD-based computational thermodynamics in Python
- ESPEI: Extensible Self-optimizing Phase Equilibria Infrastructure
- Materials Genome Foundation