TUHH-DC2: Multi-Material Additive Manufacturing

Supervisors: Prof. Claus Emmelmann (TUHH), Dr. Ing. Dirk Herzog (TUHH) and Associate Prof. Andrey Molotnikov (RMIT), Distinguished Prof. Milan Brandt (RMIT)

Project 1: Multi-Material Additive Manufacturing

Multi-Material Additive Manufacturing could further enhance the design freedom in the future. Lately, AM technologies have evolved that can handle different materials at the same time, and thus enable design of parts using multiple materials.

Project 2: Topology Optimization for Multi-Material

Topology optimization is today widely used in lightweight design to re-design parts, which are later on manufactured using 3D printing technologies. With the proof-of-concept of multi-material 3D printing technologies, there is a potential to also adapt the design process. Thus, the goal of this project is to develop topology optimization algorithms that are capable to identify the best suitable material per location and include the choice in the further optimization.

Project 3: Benchmarking MEX/M and PBF-LB/M

MEX/M and PBF-LB/M are two Additive Manufacturing technologies capable of producing serial parts out of metals. Using specific machine modifications and set-ups, it is possible to manufacture multi-material parts from both technologies. The goal of this project is to identify suitable benchmark geometries and parts, and evaluate the performance of the technologies both for ‘conventional’ single-material applications as well as for multi-material applications.

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Reference

TUHH-DC2

Research Areas

Advanced manufacturing and mechatronics, Artificial intelligence and Machine learning

Research Host

Hamburg University of Technology (TUHH)

PhD awarding institution/s

Hamburg University of Technology (TUHH) and RMIT University

Location

Germany

Status

Open Position

RMIT University

Other Positions

Supervisors

Associate Prof. Andrey Molotnikov (RMIT), Professor Dr.-Ing. Thomas Niendorf (UoK), Philipp Krooss (UoK) and Dr. Markus Weinmann (UoK)

PhD awarding institution/s

University of Kassel (UoK) and RMIT University

Location

Germany

Status

Open Position

Supervisors

Prof. Jenny Zhang (RMIT) and Prof. Jose Antonio Vilar-Fernandez (UDC) and José Luis González Leal (Navantia) and Prof. Amparo Alonso-Betanzos (UDC) and Prof. Vicente Díaz-Casas (UDC) and Prof. Marcos Miguez González (UDC)

PhD awarding institution/s

University of A Coruña (UDC) and RMIT University

Location

Spain

Status

Open Position

Supervisors

Prof. Anne-Laure Mention (RMIT) and Associate Prof. Carsten Nico Hjortso (UPCH) and Dr. Marie Smed (UPCH)

PhD awarding institution/s

University of Copenhagen (UCPH) and RMIT University

Location

Denmark

Status

Open Position

RMIT and many of the REDI partners are HSR4R certified
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This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 101034328.

Results reflect the author’s view only. The European Commission is not responsible for any use that may be made of the information it contains