Below you find the complete list of Tier-1-projects since the start of the regular project application programme.

Breathing behavior of flexible mixed metal Metal- Organic Frameworks

Date: 01.03.2017
  • Promotor(s): Danny Vanpoucke
  • Institution(s): UHasselt
  • Domain(s): Physics
The MIL-47/53 metal organic framework has a wine rack motif. In this motif metal-oxide chains can be considered as hinges, and the linker molecules as the wooden planks linking the hinges. From this picture, it is easy to understand such a metal organic framework to be flexible. However, in experiment it was found that depending on the metal used in the hinges, the wine rack can be very flexible (MIL-53(Al)) or rather rigid (MIL-47(V)). Furthermore, adding V to MIL-53(Al) makes this framework less flexible. In this work, we will investigate, using quantum mechanical calculations, how mixing the metals modifies the flexibility of these metal organic frameworks. We will calculate how we can prevent these wine racks from collapsing.

Optimization of a dual feather wing tip geometry using CFD

Date: 01.03.2017
  • Promotor(s): Jolan Wauters
  • Institution(s): UGent
  • Domain(s): Technology
A newly developed optimization framework that can include a large numbers of uncertainties, possibly present during the modeling, production and use of the product, will improve the geometry of a wing tip for an unmanned aerial vehicle (UAV). The successful outcome of the optimization case, characterized by numerous uncertainties, will not only confirm the obtained innovation of Computer-Aided Engineering (CAE), but also lead to a deeper understanding of the flow behavior around drones and a new, practically deployable, better performing and greener wing tip design.

Computational Fluid Dynamics based design of a novel reactor technology for the Oxidative Coupling of Methane

Date: 01.03.2017
  • Promotor(s): Pieter Reyniers
  • Institution(s): UGent
  • Domain(s): Chemistry , Technology
The low natural gas price and the large amounts of shale and natural gas available have created a renewed interest in methane as a source of liquid energy carriers (gasoline, diesel) or as a raw material for the chemical industry. One of the most promising technologies is the so-called ‘Oxidative Coupling of Methane’ (OCM) but it is currently not yet applied in industry because of problems with the high heat release and the low ethylene yields. A new type of reactor will be developed based on computational fluid dynamics and detailed chemical kinetics that can resolve the issues of the existing technologies by radically changing the flow pattern of the gas, thus forcing a rotational motion inside the reactor.

Computational Fluid Dynamics simulation of wind turbines

Date: 01.03.2017
  • Promotor(s): Gilberto Santo
  • Institution(s): UGent
  • Domain(s): Technology
The performances of a modern horizontal axis wind turbine with composite blades are going to be investigated in a range of operating conditions by means of Computational Fluid Dynamics (CFD) simulations. Accordingly, the stresses induced by the wind flow on the blades will be monitored. Choosing several sets of blade pitch angle, wind incoming velocity and rotational speed, transient CFD simulations will be carried out to monitor the performances and stresses of the turbine during its rotation. The same simulations will be run using different time step sizes in order to identify the influence of the time resolution on the results to be obtained.

Targeting Key Features that Determine the Robustness and Sensitivity of Pareto-optimal (PO) Selection Designs

Date: 01.03.2017
  • Promotor(s): Wilfried De Corte
  • Institution(s): UGent
  • Domain(s): Mathematics , Psychology
The validity/diversity dilemma constitutes the biggest threat to the practice of personnel selection because applicant pools are increasingly heterogeneous and the most valid pre-employment tests often show substantial mean group difference. To address the issue, methods have been proposed for designing selection systems that are Pareto-optimal (PO) and, hence, are expected to offer the best possible trade-off between the goals of selection quality and diversity. However, it is currently uncertain whether these systems live up to their promise in actual selection applications. Using simulation methods, the present project aims to resolve this uncertainty and to identify the key features that determine the practical performance of PO systems.