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PhD: Austenite Formation in Steel
Through-process model for streel product development
- Mekelweg, Delft, Zuid-Holland
- Tijdelijk contract / Tijdelijke opdracht
- Uren per week:
- 38 uur
- € 2840 - € 2840 per maand
This PhD project forms part of the Digitally Enhanced New Steel Product Development (DENS) program, in which Tata Steel Europe, Materials innovation institute (M2i) and several academic partners collaborate to enable the development of new generations of advanced materials for e.g. the automotive industry.
Digitally Enhanced New Steel Product Development (DENS) program
Significant progress has been made in the past decades in the development of advanced models that describe the behavior of steel during processing and subsequent applications. However, the quantitative application of through process models in new steel product development still lacks predictivity. In modern steel grades, parameters of the steel production process have a significant influence on the final material properties. Furthermore, the trend towards complex multi-phase microstructures requires very sophisticated models to describe their mechanical properties in a predictive manner. The main scientific challenge addressed in this program is to integrate state-of-the-art models in a single through process model framework that can be applied in practice for new steel product development.
The formation of austenite from an initial microstructure of ferrite and pearlite plays an important role in the production of advanced, high-strength steels. However, analysis has shown that the formation of the austenite microstructure is not described accurately enough. It is expected that this is primarily caused by inaccuracies in the nucleation model. Furthermore, in modern practise it happens that the initial structure before continuous annealing consists of bainite. Therefore, a model that describes austenite formation from bainite will be developed as part of a through-process model for streel product development. The scientific aim of the project is to extend and experimentally validate the existing cellular automata, sharp interphase, phase transformation model CASIPT by developing (sub-)models that describe the relevant effects of the initial microstructure on the austenite formation kinetics.
A successful applicant must have a MSc in Materials Science or Physics or the equivalent. He/she must have a sound understanding of the thermodynamics and kinetics of phase transformations in metals, computer modelling, and the experimental characterisation of metallic microstructures. Furthermore, the applicant should:
• be able to work in a team and have good communication skills.
• be self-motivated, scientifically curious, and able to (gradually) take the lead in the PhD research.
• have strong communication skills (high degree of English proficiency), ability to integrate, and good social behaviour.
The TU Delft offers a customisable compensation package, a discount for health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. An International Children’s Centre offers childcare and an international primary school. Dual Career Services offers support to accompanying partners. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities.
As a PhD candidate you will be enrolled in the TU Delft Graduate School. The TU Delft Graduate School provides an inspiring research environment; an excellent team of supervisors, academic staff and a mentor; and a Doctoral Education Programme aimed at developing your transferable, discipline-related and research skills. Please visit graduateschool.tudelft.nl/ for more information.
For more information about this position, please contact professor Erik Offerman, E: S.E.Offerman@tudelft.nl.
Minds for Innovation is the recruitment partner for this project. For more information regarding recruitment please contact Jolanda de Roo. E: email@example.com, T: + 316 572 913 50.
To apply, please visit the website www.m4i.nl/vacancies/ and use M4i's online application tool by 31 July 2018. When applying for this position, please refer to vacancy number 3ME17-76 in the subject of your motivation letter.
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