UROP Project
Development and validation of a novel iron-based metallic glass alloy using neural networks using neural networks
Contact
Key Info
Basic Information
- Project Offer-Number:
- 1174
- Category:
- UROP International, RWTH UROP
- Field:
- Mechanical Engineering
- Faculty:
- 4
- Organisation unit:
- Institut für Oberflächentechnik
- Language Skills:
- English, German (optional)
- Computer Skills:
- Microsoft Office, MATLAB (optional)
MoveOn
The IOT combines novel applied materials concepts with the design of thermal spray, cladding, brazing and PVD coating processes. For the thermal spray process, neural network tools (doi.org/10.1088/1757-899X/1147/1/012012) are used to design iron-based, metallic glass alloys and test them using validation experiments. This alloy development lays the foundation for application as coatings, e.g., using thermal spraying. Further information on this and other announcements is available on https://www.iot.rwth-aachen.de/go/id/kpnnp
Task
The aim of the work is the development and validation of a novel iron-based metallic glass alloy. In detail: Utilization and further development of the Neural Network-tool Development of an alloy Validation of the predicted properties
Requirements
Technical major, ideally mechanical engineering, materials science, or materials engineering. Interest in coating processes and surface technology Diligent way of working