Module: Multiphase Materials
|Applied Computational Methods for Material Science||Project-/problem-based Learning||3||Winter Semester|
|Polymer Composites||Lecture||2||Winter Semester|
Prof. Robert Meißner
Recommended Previous Knowledge:
Knowledge in basics of polymers, physics and mechanics/micromechanics
- explain the complex relationships of the mechanics of composite materials, the failure mechanisms and physical properties.
- assess the interactions of microstructure and properties of the matrix and reinforcing materials.
- explain e.g. different fiber types, including relative contexts (e.g. sustainability, environmental protection).
They know different methods of modeling multiphase materials and can apply them.
Students are capable of
- using standardized methods of calculation and modeling using the finite element method in a specified context to use discretization, solver, Programming with Python, Automated control and evaluation of parameter studies and examples to calculate of elastic mechanics like tensile, bending, four point bend, crack propagation, J -Integral, Cohesive zone models, Contact.
- determining the material properties (elasticity, plasticity, small and large deformations, modeling of multiphase materials).
- to calculate and evaluate the mechanical properties (modulus, strength) of different materials.
- Approximate sizing using the network theory of the structural elements implement and evaluate.
- selecting appropriate solutions for mechanical material problems: Solution of inverse problems (neural networks, optimization methods).
- arrive at funded work results in heterogenius groups and document them.
- provide appropriate feedback and handle feedback on their own performance constructively.
Students are able to,
- assess their own strengths and weaknesses
- assess their own state of learning in specific terms and to define further work steps on this basis
They are able to fill gaps in as well as extent their knowledge using the literature and other sources provided by the supervisor. Furthermore, they can meaningfully extend given problems and pragmatically solve them by means of corresponding solutions and concepts.
ECTS-Credit Points Module:
Workload in Hours:
Independent Study Time: 110, Study Time in Lecture: 70
Course: Applied Computational Methods for Material Science (Project-/problem-based Learning)
German & English
Finite Element Method (discretisation, solver, programming with Python, automatized control and analysis of parametric studies)
Examples of elastomechanics (tension, bending, four-point-bending, contact)
Material behaviour (elasticity, plasticity, small and finite deformations, nonlinearities)
Solution of inverse problems (machining of data, artificial neural networks, direct and inverse solutions, existence and uniqueness)
Alle Vorlesungsmaterialien und Beispiellösungen (Input-Dateien, Python Scirpte) werden auf Stud.IP zur Verfügung gestellt.
All lecture material and example solutions (input files, python scripts) will be made available in Stud.IP.
Course: Polymer Composites (Lecture)
Manufacturing and Properties of CNTs and Graphen
Manufacturing and Properties of 3-dimensional Graphenstruktures
Polymer Composites with carbon nanoparticles