Smart Structures and Manufacturing (SSM) research group focuses on material characterization for component lifetime, surface properties, anisotropy and instabilities of the structural components, micro-macro relationships in structural evaluation, and optimizing the manufacturing process.
The Smart and Structure Manufacturing current research activities include:
- Computational fracture mechanics using FEM, extended FEM, Multiscale methods, and Meshfree methods to simulate complex mechanical problems,
- Fatigue fracture of materials, including metals, plastics, and composites,
- Additive manufacturing,
- Piezoelectric materials,
- Tribology and wear,
- Metal machining (with focus on the computational modelling of the process),
- Role of the microstructure and material composition of the fatigue and fracture.
SSM is committed to pushing technological advancements that improve the durability, functionality, and production of structural components across various industries.
Interested in joining or collaborating with us?
Please check our vacancies webpage regarding the calls for fully funded PhD & postdoc positions in the SSM research group.
Regarding the self-funded or other funding applications inquiries, drop Mohammad Malekan (malekan@sdu.dk) or Pei Li (lipei@sdu.dk) an email if you are interested in pursuing a PhD or postdoc in the SSM group and are applying for funding from EU (e.g., Marie Skłodowska-Curie Fellowship) or other international programs, or able to self-finance your research through other means.
Please contact Mohammad Malekan (malekan@sdu.dk) or Pei Li (lipei@sdu.dk) if you are interested in doing a master project.
Here are some examples of the projects (can be taken for a master thesis project):
- Mechanical behavior and failure analysis of 3D-printed polymeric lattice structures.
- Experimental and numerical analyses of spur gear failure.
- Fatigue life estimation of laser welded joints.
- Experimental testing and FE simulation of asperity junction failure.
- Investigation of the mechanical properties of the conventional gas pipeline.
- Design and build of a pin-on-disk tribometer.
- Application of machine learning in the fracture analysis of structural components.
There is also the possibility of defining a project according to:
- Student’s personal preferences, preferably after having a discussion.
- Needs and requests from the local (e.g., Danfoss, Linak A/S, etc.) and other Danish companies (e.g., LEGO, Grundfos, Universal Robots, etc.).
Please contact Mohammad Malekan (malekan@sdu.dk) or Pei Li (lipei@sdu.dk) for further details if you are an interested PhD or postdoctoral researcher to collaborate with the SSM research group. All the requests are welcome!
