PhD position Model dev. for softening in steel on a microstructural scale – Technical University of Delft, Delft (the Netherlands)

////PhD position Model dev. for softening in steel on a microstructural scale – Technical University of Delft, Delft (the Netherlands)

Introduction

Plastic deformation of metals causes a significant increase of the dislocation density, and thus of the defect energy in the material. During subsequent annealing, softening takes place by three processes: recovery, recrystallisation and grain growth. All three can also occur dynamically, i.e. during hot deformation. The aim of the project is to develop physical understanding of the development of the dislocation structure during recovery, to understand nucleation in recrystallisation in relation to the dislocation structure and to determine the influence of chemical composition on grain growth. Based on this understanding, the softening processes in steel on the microstructural scale will be described in physically based models. The essentials of the physical models are to be captured in a simplified on-line model for application during the production process.

Organization

The Department of Materials Science and Engineering (MSE) of the Delft University of Technology, undertakes coherent and innovative research dedicated to developing, producing, characterising and manipulating materials, with a focus on metals. The aim is to develop fundamental understanding forming the basis for better performance, a longer life cycle with preservation of functionality, while at the same time optimising sustainable use of resources and minimising environmental footprint.

The microstructure section of the MSE department with three senior scientists and some 15 PhD students and post-docs, has a leading position worldwide in the field of microstructure control, based on both experimental characterisation and physical modelling. For more information https://www.tudelft.nl/en/3me/departments/materials-science-and-engineering/research/microstructures/

Function

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.

Plastic deformation of metals causes a significant increase of the dislocation density, and thus of the defect energy in the material. During subsequent annealing, softening takes place by three processes: recovery, recrystallisation and grain growth. All three can also occur dynamically, i.e. during hot deformation. The aim of the project is to develop physical understanding of the development of the dislocation structure during recovery, to understand nucleation in recrystallisation in relation to the dislocation structure and to determine the influence of chemical composition on grain growth. Experimental data will have to be acquired to test and validate existing models thoroughly, and where needed will be extended. Systematic measurements on the dislocation segment length will give insight in the quantification of the dislocation structure on a single sample during repeatedly interrupted annealing treatments. Based on this understanding, the softening processes in steel on the microstructural scale will be described in physically based models. The essentials of the physical models are to be captured in a simplified on-line model for application during the production process.

Requirements

We are searching for enthusiastic candidates holding a MSc degree in physics, chemistry, materials science or similar field. The candidate must have knowledge on physics of materials, solid state physics, solid-solid phase transformations and mechanical behaviour. Moreover, the candidate should have:

  • affinity for computational calculation as well as a solid background on mathematics and numerical methods.
  • an “academic attitude” with excellent analytical skills, taking initiative, inventiveness, curiosity and critical thinking about the research approach and results.
  • strong communication skills (high English proficiency), ability to integrate, and have good social behaviour.

Offer

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.

The PhD. candidate 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 www.phd.tudelft.nl for more information.

Information

Minds for Innovation is the recruitment partner for this project. For more information regarding recruitment please contact Jolanda de Roo. E: j.deroo@mindsforinnovation.nl, T: + 316 572 913 50

For more information on the project specifics, please contact Prof. Jilt Sietsma. E: J.Sietsma@tudelft.nl.

Application

Application documents (in PDF format) must contain:

  • letter of motivation containing why you are interested in this specific project and why you would be a good candidate (refer to vacancy number 3ME17-78 in the subject)
  • detailed curriculum vitae and contact information of two potential referees
  • transcripts of BSc and MSc grades
  • transcript of English test

Apply before the deadline of July 31st 2018.

As one of the first selection steps, you will be invited to participate on our specialised online assessment. If you would like to know more about why we use this and how we have set it up, then check out our website.

2018-06-20T02:10:09+00:00 June 5th, 2018|