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PhD opportunity within the ITN NewFrac Computational Fracture Mechanics

Dear friends,

 

I bring your attention to the following PhD offer within the ITN Newfrac on Computational Fracture Mechanics, please see below and the link https://euraxess.ec.europa.eu/jobs/572885

 

 

The Marie Skłodowska-Curie Innovative Training Network "NEWFRAC" (www.newfrac.eu) is a high-level training of a new generation of creative, entrepreneurial and innovative early-stage researchers (ESRs) through the development and engineering applications of a new modeling framework focused on the prediction and analysis of multi-field fracture phenomena in heterogeneous engineering systems at different scales. NEWFRAC in its mission of training students capable of solving the current problems of multi-field fracture phenomena in heterogeneous engineering systems, offers 13 PhD positions for early stage researchers (ESRs) distributed in a network of 65 European countries (France, Germany, Italy, Portugal and Spain) and 2 countries associated (Israel and Switzerland), with the participation of prestigious academic and industrial institutions that will allow researchers to grow and develop their technical skills in a multisectoral environment.

 

Besides working on their project at their home institutions, the researchers will participate in network-wide training events like summer schools. Moreover, they will conduct secondments at other network partners combining academic and industrial experiences.

 

The following position and project is available at Robert Bosch GmbH in Renningen, Germany:

 

Doctoral program: ESR-6 will be enrolled as doctoral student in the Department of Mechanical and Process Engineering at ETH

 

ESR 6: Multiscale modeling of fracture processes in injection molded Short Fiber Reinforced Plastics

 

Objectives: Components made of Short Fiber Reinforced Plastics (SFRP) are typically manufactured via injection molding. Hereby, the resulting local microstructural configuration of the composite, i.e. the spatial arrangement of the fibers, highly influences the deformation and failure behaviour of the macroscopic component. Later in the application, products are exposed to harsh environments and severe operational loads. Aiming at the development of products with high reliability requirements in a time- and cost-efficient manner, simulation methods with high accuracy predictions and efficient adaption routines are becoming increasingly important. To achieve this, robust multiscale techniques must be established that contain elements of virtual material testing where a large portion of the required experiments are transferred to the virtual or numerical world. Clearly, this requires a model on the microscopic scale that captures all relevant failure mechanisms like fiber fracture, cavitation fracture at fiber tips, and matrix fracture. In this context, PF models for fracture are promising approaches, as they can be employed to describe highly complex fracture processes in very complicated 3D microstructures. With precise microscopic models at hand that are validated with non-standard microscopic experiments, numerous simulations are performed with highly efficient Fast Fourier Transformation (FFT) solvers. In line with concepts of data-driven modeling strategies, effective material laws for the macroscopic component scale are derived based on closed form approaches or on modern model order reduction techniques which are fed by the previously performed microstructural simulations. The 1st objective of this ESR project is to deliver variational-based robust PF models for fracture that can be employed to predict damage progression on the microstructural level for complex operational loads. In order to achieve this, experiments on the microscale of the composites will be carried out to make the main failure mechanisms visible and to motivate the specific PF modeling approaches. Having the microscopic model at hand, the 2nd objective of this ESR project is the derivation of a suitable effective model that can be employed for component simulations that are performed with commercial FEM packages. For more information about this position please go to https://www.newfrac.eu/phd-positions/esr6

 

Contract signing and incorporation dates are orientative and have yet to be defined. For more information about the call and application process visit www.newfrac.eu

 

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