Vacancies

/Vacancies
Vacancies 2017-06-23T15:35:30+00:00

PhD: Material Toughness fracture model design – Technical University of Delft, the Netherlands

June 17th, 2018|Categories: m2i, PhD|Tags: , , |

Introduction Relating material processing to microstructural details is well studied, and relating toughness to structural safety is standardized. However, more development is needed to relate microstructural details to toughness. By providing a bridge between complex, multi-parameter microstructural geometry and properties to macroscopically observable fracture toughness, this research will deliver a functional tool to understand and analyse the material in a new way from material manufacturing process to the safety of the whole structure.

PhD position Modelling austenite decomposition: bainite, acicular ferrite, heat of transf. and effect of deformation – Technical University of Delft, Delft (the Netherlands)

June 6th, 2018|Categories: m2i, Modeling & Simulation, PhD|Tags: , , , |

Introduction The understanding of bainite formation in steels is one of the most controversial topics in physical metallurgy . There are two schools of thought describing this phase transformation. The “diffusional” school accepts that the growth of bainitic subunits is controlled by the diffusion of carbon at the interface, while the “displacive” school considers that the diffusion of carbon into the austenite occurs after the diffusionless growth of the bainitic ferrite. Following both approaches to this problem, there exist several models that predict the formation and kinetics of bainite in steels. However, these models do not tackle the polycrystalline morphology

PhD position Prediction of local material response to welding – Technical University of Delft, Delft (the Netherlands)

June 6th, 2018|Categories: m2i, Modeling & Simulation, PhD|Tags: , , , |

Introduction The design requirements of new steel grades for the automotive industry are driven by the targeted application. Optimised strength-formability properties are often the first design objective. Nevertheless, other properties, such as fatigue strength, edge ductility or weldability have gained increased attention the last years, since improved strength-ductility performance often comes at the cost of decreased fatigue, edge ductility or weld behaviour. Currently, weld testing can be done only in the later stages of material development, when larger quantities of a trial material are available. In order to capture potential problems as well as solutions for acceptable weld behaviour in

PhD position Through-Process Modelling for Steel Product Development – Technical University of Delft, Delft (the Netherlands)

June 5th, 2018|Categories: m2i, Modeling & Simulation, PhD|Tags: , , , |

Introduction A great challenge when developing new steel products is the possibility to predict or control the surface condition during manufacturing and of the final product. Current predictions of the surface oxidation of steels are limited and mainly based on empirical relation. Hence, a generic model to predict thermal oxidation of steel strips in terms of composition of oxides, sequence of oxides, and amount of oxides depending on steel composition, temperature cycle and gas phase composition will be built. The oxidation induced diffusion of elements in a multi-element and multi-phase alloy will be simulated. First the model will be developed

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

June 5th, 2018|Categories: m2i, Modeling & Simulation, PhD|Tags: , , , |

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

PhD position Austenite formation in steel: modelling and experimental validation – Technical University of Delft, Delft (the Netherlands)

June 5th, 2018|Categories: m2i, Modeling & Simulation, PhD|Tags: , , , |

Introduction 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 more and more often that the initial structure before continuous annealing consists of bainite. Therefore, a model that describes austenite formation from bainite must also be developed as part of a through process model for new streel product development. The

PhD position Intergranular and interphase precipitation modelling – Technical University of Delft, Delft (the Netherlands)

May 31st, 2018|Categories: m2i, Modeling & Simulation, PhD|Tags: , , , |

Introduction In steel precipitates preferentially nucleate on interfaces and dislocations. This dramatically affects the mobility of the interfaces and dislocations. Physical models for microstructure evolution, which are critical for optimal control of high quality steel production, therefore, nowadays are integrated models of precipitation, recovery and recrystallization. In these models both the size and fraction of the precipitates play an important role. Precipitate sizes and fractions evolve with time usually are described using LSW theory or cluster dynamics, or on empirical- and ab initio based kinetic Monte Carlo (KMC) simulations. Recently, progress has been made to integrate precipitate size distribution/evolution models

PhD: Statistical Interpretation of microstructures for improved predictive modelling – Technical University of Delft, Delft (the Netherlands)

May 29th, 2018|Categories: m2i, Modeling & Simulation, PhD|Tags: , , , |

Introduction For Through Process Modelling, the study of microstructural properties in steels is crucial. Microstructural quantities of interest include grain size, particle size, grain shape, grain orientation and grain mis-orientations, spatial distributions and anisotropy. Using in-house characterization techniques at TATA steel, profiles of 2D-sections of 3D samples can be obtained. Extracting information on the 3D features based on the 2D pictures, is a stereological problem. An essential step in this process is to describe the formation of microstructures using a realistic well defined stochastic model. Then, the “direct problem” needs to be solved, expressing the stochastic behaviour of the 2D

PhD position: modelling long-term behaviour of packaging seals – University of Twente, Enschede (the Netherlands)

May 13th, 2018|Categories: m2i, Modeling & Simulation, PhD|Tags: , , , , |

Introduction According to the Food and Agriculture Organization of the United Nations (2017), annually one third of the globally produced food for human consumption (1.3 billion tonnes), gets lost or is wasted. If we can prevent food waste, sufficient food is produced to feed the world, and improved packaging concepts will play a big role in achieving this, be it through improved packaging materials, better sealing, or better sensing that allows monitoring of decay processes occurring inside the package. Sealing and closing of plastic packaging may be applied very widely, but micro leakages occur in 1-4% of the packages, and

PhD position: Multi-phase interfacial models for multi-phase steels – Eindhoven University of Technology, Eindhoven (the Netherlands)

February 16th, 2018|Categories: m2i, Modeling & Simulation, PhD|Tags: , , , , |

Introduction PhD Student position Micromechanical modelling and experimental analysis of advanced high strength steels (AHHS). Two PhD vacancies are available in the Mechanics of Materials group led by Prof. Marc Geers (www.tue.nl/mechmat). The candidates will be co-supervised by Dr. Ron Peerlings, Dr. Johan Hoefnagels, Dr. Varvara Kouznetsova and Prof. Marc Geers. These PhD projects form a 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.We are looking for the