- Language: English
- 95 Pages
- Published: October 2011
- Region: Great Britain, United Kingdom
- Published: April 2009
- 588 pages
- Woodhead Publishing Ltd
Computer-based modelling of material properties and microstructure is a very fast growing area of research and the use of titanium is growing rapidly in many applications. The book links the modelling of microstructure and properties to titanium. The first part of the book reviews experimental techniques for modelling the microstructure and properties of titanium. A second group of chapters looks in depth at the physical models and a third group examines neural network models. The final section covers surface engineering products.
Introduction to titanium alloys
Part 1 Experimental techniques: Microscopy
- Synchrotron radiation X-ray diffraction
- Differential scanning calorimetry and property measurements.
Part 2 Physical models: Thermodynamic modelling
- The Johnson-Mehl-Avrami method: isothermal transformation kinetics
- The Johnson-Mehl-Avrami method adapted to continuous cooling
- Finite element method: morphology of ß to a phase transformation
- Phase-field method: lamellar structure formation in ?-TiAl
- Cellular automata method for microstructural evolution modelling
- Crystallographic and fracture behaviour of titanium aluminide
- Atomistic simulations of interfaces and dislocations relevant to TiAl.
Part 3 Neural network models: Neural network method
- Neural network models and applications in phase transformation studies
- Neural network models and applications in property studies.
Part 4 Surface engineering products: Surface gas nitriding: phase composition and microstructure
- Surface gas nitriding: mechanical properties, morphology, corrosion
- Nitriding: modelling of hardness profiles and the kinetics
- Aluminising: fabrication of Al and Ti-Al coatings by mechanical alloying.
Professor Wei Sha is Professor of Materials Science at The Queen’s University of Belfast, UK. Dr Savko Malinov is a Lecturer in Mechanical and Aerospace Engineering, The Queen’s University of Belfast, UK.