»PhD grant: Flexible geometry model for corrosion inhibitor...
Fraunhofer-Gesellschaft
Ubicación de trabajo
Kaiserslautern
Estado de Empleo
Tiempo completo
Detalles de la oferta de trabajo
The Fraunhofer ITWM is one of currently 76 institutes of the Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V. (Fraunhofer Society for the Promotion of Applied Research) and can thus draw on the competences of a strong network. As the Fraunhofer Institute for Industrial Mathematics ITWM, we see our task in further developing key technologies, providing innovative impulses and implementing them in practice together with industrial partners. In doing so, we do not only want to build the bridge between the real and virtual world ourselves, but also be the link between university mathematics and its practical implementation. Therefore, the close connection to the Department of Mathematics at the Rhineland-Palatinate Technical University Kaiserslautern-Landau (RTPU) plays a special role.
The Image Processing department of Fraunhofer-ITWM develops individual image processing solutions based on innovative mathematical models and algorithms. In close cooperation with industrial customers and research institutions, we solve problems in production, medical technology, and material science.
What you will do
To support our team, we are looking for a highly motivated Ph.D. student for the topic: Flexible geometry model for environmentally friendly corrosion inhibitor particle systems
In aircraft construction, among other areas, coatings that actively counteract corrosion have been used for a long time. The toxic chromates still used as corrosion inhibitors have to be replaced by environmentally friendly alternatives. Structural optimization using stochastic structure models and numerical simulation can help to select particularly promising candidates from the multitude of possible formulations. Stochastic germ-grain models are in general suitable for this purpose. The challenge is to model the high variability with respect to size and shape distribution and the interaction of several structural components. Structural information has to be extracted from 3D images obtained by nano-computed tomography
