Projects

Study of influence of precipitates on corrosion behavior of aluminium alloys by in-situ local electrochemical techniques

PhD student Ali Davoodi, Supervisors Doc. Jinshan Pan and Prof. Christofer Leygraf
Div. of Corrosion Science, Dept. of Materials Science & Engineering, KTH

Localized corrosion behavior of chosen materials in aggressive solutions and the influence of precipitates will be studied in-situ by advanced local techniques, such as electrochemical AFM/STM, as well as scanning electrochemical microscopy (SECM), which provide information of corrosion/passivation processes occurring at sub-micron scale. An additional local technique, scanning Kelvin probe force microscopy (SKPFM), can also be used to reveal lateral variations in Volta potential associated with intermetallic precipitates (particles), and their tendency to galvanic corrosion relative to the alloy matrix. The materials will primarily be aluminium alloys of the AA3000 and AA6000 series, or other alloys of interest. The experimental work will be performed to investigate the influence of various types of precipitates (phase, size and distribution) on the localized corrosion behaviour. Certain emphasis will be given to precipitates formed during fast cooling processes. In multi-component aluminium alloys of the series AA3000 and AA6000, silicon, iron, manganese, chromium, copper and magnesium are introduced for improved mechanical strength. This leads to new intermetallic precipitates whose detailed corrosion action to the matrix is not well known. The information obtained from the planned project will provide more detailed knowledge on localized corrosion behavior of the aluminium alloys, and will be used for the optimisation of new aluminium alloys.

This project has additional funding from Sapa Technology.

Electronic structure and properties of interfaces in materials

PhD-student: Vitaly Baykov, David Andersson, Supervisors: Dr. Pavel Korzhavi, Prof. Börje Johansson
Div. of Applied Physics, Dept. of Materials Science & Engineering, KTH

It is proposed to perform theoretical studies of alloy phases and interfaces using ab initio calculations of their electronic structure and total energy, as well as atomistic modeling. The research will be focused on ordered phase precipitates and precipitate-matrix interfaces in steels alloyed with Al, Si, V, Cr, Co, Ni, and Mo, as well as in high-temperature g/g’ superalloys. As a result, it is planned to achieve a deeper understanding the effects of the alloying elements on the structure and properties of the studied systems.

Outline of the studies for 5 years

Year 1: Practicum II and III (Ab initio calculations for selected ordered compounds and random alloys, surface energies).

Year 2: Modeling the structural disorder and the site preference for ternary alloying elements in binary intermetallic compounds and sigma phases.

Years 3 and 4: Calculations of the surface energies and atomic structure for g/g’ and other kinds of interfaces in binary systems. Systematic studies of the orientation dependence and the effects of ternary alloying.

Year 5: Analysis of the calculated thermodynamic data and systematic trends; interpretation of the results in terms of electronic structure. Preparation of the PhD thesis.

Enhanced dehydrogenation in ladle treatment - to meet the demand on the optimization of mechanical properties of steels

PhD Student Jenny Brandberg, Supervisor Prof. Du Sichen
Div. of Metallurgy, Dept. of Materials Science & Engineering, KTH

Dehydrogenation is usually carried out in ladle treatment, very often by vacuum degassing. In order to optimize the process taking into account of the quality of the steel, the energy saving and environmental aspects, a description of the dehydrogenation rate is essential. The optimization of the steels would require the knowledge of the relationship between the hydrogen concentration and mechanical properties, the thermodynamic constrain regarding the lowest hydrogen level that could be achieved under given industrial conditions and the rate of dehydrogenation.

Dehydrogenation in a ladle involves both slag-metal as well as gas-metal reactions. It is a common knowledge that dehydrogenation would be more difficult in humid weather, as slag formers pick up moisture. Very often, slag supplies hydrogen to the steel rather than picks it up from the metal. The development of sub-models for the description of the reactions in the slag-metal mixing zone requires a good understanding of the slag-metal mixing, viz. the dispersion of slag drops in at metal or vice versa. It also requires a knowledge of the capacity of the slag holding hydrogen ( HO-). On the other hand, the micro modelling of gas-metal reaction is directly related to adsorption and disorption.

The present proposal envisages a further examination of the effect of hydrogen content on the mechanical properties. Sub-models describing the reactions of dehydrogenation are also to be developed. Each basic sub-model development will be done in the following steps:
1. Mechanism study – To gain a better understanding and chemical as well as physical pictures of the reaction phenomena.
2. Mathematical formulation – To develop sub-models on the basis of the mechanism study.

A generalized model of dehydrogenation for ladle treatment is to be developed on the basis of the sub-models.

The industrial experimental costs are covered by Uddeholm Tooling.

Property tools towards process optimisation

PhD student Madeleine Lundberg: Supervisor Prof. Seshadri Seetharaman
Div. of Metallurgy, Dept. of Materials Science & Engineering, KTH 

Aim

The planned project targets generation of thermochemical and thermophysical properties and suitable extrapolation models with a view to incorporate them in process optimizations. The research efforts have a slightly stronger emphasis on slag phase, where there is a dearth of data.

The thermochemical properties targeted are:
1. thermodynamic activities
2. sulphide capacities
3. enthalpies
4. molar volumes

The thermophysical properties being looked into are:
1. viscosities
2. thermal diffusivities
3. surface- and interfacial tensions

These properties should enable process optimization on the basis of thermodynamics as well as mass, heat and momentum transfer.

Project plan

The work carried out so far is as follows:
1. Development of a theoretical model for the heat conduction of porous solids, which can be applied in the characterization of coke and even for other porous solids.
2. Development of a theoretical model for the viscosities and thermal diffusivities of mould flux slags with a view to optimize the properties towards faster casting speeds.
3. Measurement of fluoride evaporation from mould flux slags and characterization the same from the view points of chemistry as well as environment. 
4. Interlinking of thermochemical and thermophysical properties of slags in order to generate self-consistent data for process simulation.

Further work planned:
1. Completion of the work on the characterization of mould flux slags
2. Model the melting rate of the mould flux by X-ray imaging
3. Measurement and modelling of the tensile strength of solidified slag films in order to minimize the frictional effects on the strand and consequent surface defects. The study is also supposed to provide structural insights into slag structure.

Thermodynamic modelling of molar volume and thermal expansion

PhD student Xiaogang Lu, Supervisor Dr. Malin Selleby
Div. of Computational Thermodynamics, Dept. of Materials Science & Engineering, KTH 

Research activities

Combination of the Calphad method and theoretical calculations provides new possibilities for the study of materials science. This work is aimed to combine these methods to facilitate modeling and to extend the thermodynamic databases with critically assessed volume data. In this work, the theoretical calculations refer to first-principles and Debye-Grüneisen calculations.

The first-principles (i.e. ab initio) electronic structure calculations, based on the Density- Functional Theory (DFT), are capable of predicting various physical properties at 0 K, such as formation energy, volume and bulk modulus. The ab initio simulation software, VASP, is used to calculate the binding curves (i.e. equation of state at 0 K) of metallic elements, cubic carbides and nitrides. From the binding curves, the equilibrium volumes at 0 K are calculated for several metastable structures as well as stable structures.     

The vibrational contribution to the free energy is calculated using the Debye-Grüneisen model combined with first-principles calculations. Two different approximations for the Grüneisen parameter, γ, are used in the Debye-Grüneisen model, i.e. Slater’s and Dugdale-MacDonald’s expressions. The thermal electronic contribution is evaluated from the calculated electronic density of states.

By fitting experimental heat capacity and thermal expansivity around Debye temperatures, it is possible to optimal Poisson’s ratio values and to use them to evaluate Young’s and Shear moduli. In order to reach a reasonable agreement with the experiments, it is necessary to use the logarithmic averaged mass of the constitutional atoms.

A new model describing thermodynamic properties at high pressures was implemented in Thermo-Calc. The model is based on an empirical relation between volume and isothermal bulk modulus. Pure Fe and solid MgO were assessed using this model. Solution phases will be considered in a future work to check the model for compositional dependence.

Phase field simulation of grain growth

PhD student Henrik Strandlund, Supervisor Prof John Ågren
Div. of Physical Metallurgy, Dept. of Materials Science & Engineering, KTH 

The phase field method is based on the theory of diffuse interfaces (Landau-Ginzburg, Cahn-Hilliard) and has been applied frequently to study different processes and transformations in materials the last decade. Especially dendritic solidifications, precipitations in solid state and grain growth in multicomponent systems have been simulated and studied. 

The phase field method has been studied at the division of physical metallurgy for almost 10 years. Earlier projects have been devoted to study dendritic solidification, recrystalization and widmanstätten precipitation. Some software development have also been performed to increase the numerical stability and to computational speed. Experiments concerning grain growth have also been performed to enable quantitative comparisons between phase field simulations and experiments.  

In this project we will use the software FEM-LEGO, developed at the department of mechanics at KTH, to study grain growth. A phase field model will be formulated and implemented. Some of the earlier developed tools and models enable stable and fast calculations will be applied. Simulations under different conditions will be performed and quantitative comparisons with experimental data concerning grain growth in low alloyed steels will be made.

Development of tools for integrated optimisation of materials – MatOp - stainless steels

PhD student Henrik Sieurin, Supervisor Prof. Rolf Sandström
Div. of Materials Technology, Dept. of Materials Science & Engineering, KTH 

Stainless steels are used in highly demanding applications in for instance the processing and power industry. In order to meet these demands, the composition and micro structure of the materials must be carefully controlled during manufacturing. The aim of this project is to be able to predict micro structure development in complex processes and to link microstructure components and material properties.

Prediction of micro structures and properties will be performed for highly alloyed stainless steels intended for advanced requirements on corrosion and mechanical properties such as vessels for aggressive media. General corrosion, pitting corrosion, crevice corrosion, strength, ductility, hot cracking (weldability), hot workability, ferrite content, and presence of TCP-phases such as sigma will be analysed. Most of these quantities need the phase information from Thermo-Calc to evaluate the property values with the help of CMPRs (Composition-Microstructure-Property Relations).

As another example of process optimisation, discontinuous annealing after cold working of structural steels for forming applications will be studied. Computational models will be applied to the manufacturing process. Grain growth, recrystallization, texture formation, carbonitride precipitation and austenite to ferrite phase transformation will be taken into account. The features included in the optimisation system such as microstructural evolution on the basis of chemical thermodynamics and classical nucleation and growth theory will be utilised. The role of the yield to tensile strength ratio will be analysed.

Development of tools for integrated optimisation of materials – MatOp – aluminium alloys

PhD student Johan Zander, Supervisor Prof. Rolf Sandström
Div. of Materials Technology, Dept. of Materials Science & Engineering, KTH 

The use of aluminium alloys in the transportation sector is increasing rapidly due to the low weight of the materials and their good properties in manufacturing and usage. To ensure the competitiveness of the materials, these properties must be carefully optimised for the applications.

The properties of materials depend in a complex way on composition and micro structure. During the last few years new modeling tools have become available for the prediction of micro structure and properties, enabling a mathematical optimization of materials for specific applications. The purpose of this project is to use these tools to develop the understanding of the factors controlling properties in aluminium alloys.

The work includes
- Development of models for micro structure development in aluminium alloys.
- Find and formulate connections between composition, micro structure and properties.
- Optimization of materials for vehicle applications using FEM.

Creep modelling of particle strengthened materials

PhD student Hans Magnusson, Supervisor Prof. Rolf Sandström
Div. of Materials Technology, Dept. of Materials Science & Engineering, KTH 

The use of particle hardening is typically the most efficient way of improving the strength of creep resistant materials. This is utilised for example in nickel-base superalloys and modern 9 and 12%Cr-Mo-V steels in fossil fired power plants. To get an optimised long time creep strength the behaviour of the particles must be well controlled metallurgically. If the particles coarsen too rapidly the high temperature strength is lost.

This work will primarily focus on the behaviour of 9 and 12%Cr-Mo-V steels. Extensive international work has been performed on these steels in the framework of COST 522. In spite of the extensive international work two pieces of information are still lacking, influence of particles on creep rupture and a  more fundamental model for the development of substructure during creep.

It is the purpose of this project to generate models for these two items and in international collaboration integrate them with existing models for particle formation and coarsening.

Creep data and microstructure information is collected from the open literature for creep resistant low alloy and high chromium steels. In particular, the influence of particle structure on creep strength is analysed.

With the help of thermodynamical modelling (Dictra), the nucleation and growth of strength controlling particles is predicted.

A previously developed model for dislocation climb across particles in austenitic steels will be reviewed, expanded and compared with other available models. In particular, the temperature dependence of the creep prop­erties must be represented well. In this way the precipitation kinetics can be integrated in the model and the role of different phases can be taken into account fully. One important aspect is the type of interaction between dislocations and particles that is present.

In the past the role of the dislocation substructure has been taken into account in a qualit­ative way. In this project the critical interaction between the substructure and the particles will be studied and modelled. Existing models and observations for the development of substructure during creep will be analysed.

Process-microstructure relations

PhD-student: Johan Jeppsson, Supervisor Prof John Ågren
Div. of Physical Metallurgy, Dept. of Materials Science & Engineering, KTH 

Models available in the literature will be assessed and modified to fit the aims of the Materials Optimisation project. Phenomena like nucleation, growth and coarsening of precipitates as well as grain growth and recrystallisation will be considered. The models will include classical nucleation theory and its well-known modifications to account for heterogeneous nucleation on grain boundaries and dislocations, as well as Zener-Hillert type of equations to calculate growth rates of individual precipitates and pearlitic or bainitic colonies and Kolmogorov-Johnson-Mehl-Avrami type of equations to account for impingement.

For simultaneous nucleation and coarsening a numerical treatment of classical LSW theory (Lifshitz, Slyozov, Wagner) will be applied. A correction factor, taking into account a finite fraction of secondary phase, will be used. This factor is based on previous results from random walk and stochastic theory.

The goal is to have models which simulate the final and intermediate structures for a given alloy composition and applied process route. The models will be developed to such a level that they are good enough to lead the industry in the best direction for alloy and process development. Simulations by advanced models and databases speed up this development and reduce the number of laboratory and industrial scale experiments.

Thermodynamic models of metallurgical processes

PhD-student: Lina Kjellqvist, Supervisor: Prof. Bo Sundman
Div. of Computational Thermodynamics, Dept. of Materials Science & Engineering, KTH
 

The aim of the project is to connect thermodynamic models with software for simulation of metallurgical processes, e.g. fluid flow simulations for decarburization of alloyed steels. A full simulation where you calculate local equilibrium in several thousand grid points in a 3D simulation of flows is computationally impossible, so different methods to simplify the simulation should be examined. As a first approach, the decarburization process is considered as one equilibria, via different reactor models that divides the process into different segments with flow between these, to a full fluid flow simulation with simplified thermodynamics.

We will start by looking at the system Fe-Ca-Si-O-C. The liquid metal,slag, various solid oxides and metal phases shall be taken into consideration. Simulations with Mn, Cr, Ni and S should be studied later. The result will be compared with measurements on real systems.

Thermodynamic models assessed independent of the studied process shall beused. The connection have to be done so that it is easy to exchange partsof the software, i.e. the integrity of the software should be maintained.A simulation package with the opportunity to choose the degree ofrefinement of the process model will be developed, with a user interfacethat make it possible to use the simulator in industrial applications.

Dennis Andersson  2005-05-13