Additive manufacturing

Supervisors: Prof. Michele Chiumenti (CIMNE) and Dr Andrey Molotnikov and Prof. Raj Das (RMIT)

Option 1 Thermo-metallurgical modelling for AM processes

Project: The project will focus on the thermo-metallurgical coupling for additive manufacturing (AM) process simulation at melt-pool and at component scale level. Direct-Energy-Deposition (DED) will be used as the main AM technology. The key objective is to develop a numerical model to predict the microstructure evolution including phases, grain size and mechanical properties induced by the thermal cycles due to the AM process. Moreover, its relationship with the material strength will be investigated.

 

Option 2 Thermo-mechanical modelling of WAAM process

Project: Wire arc additive manufacturing (WAAM) is a directed energy deposition (DED) AM process that uses an electric arc as a heat source to melt a wire feedstock. The WAAM process is capable of producing thin-walled components and is relevant for many industries, such as aerospace, automotive and marine. This PhD project will focus on the thermo-mechanical modelling linking the processing parameters and resultant mechanical properties and defect formation.

 

Option 3 Modelling of multi-material L-PBF process

Project: Multi-material additive manufacturing using laser-based powder bed fusion (L-PBF) has the potential to disrupt the manufacturing of multi-material parts and enable local tailoring of mechanical and functional properties. In this PhD project, the candidate will develop thermomechanical models to investigate the formation of interfaces and study the complex melt flow in metal-metal composites.

 

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Reference

CIMNE-DC1

Research Areas

Advanced Manufacturing & Mechatronics, Applied Science, Mechanical & Automotive Engineering, Distributed Computing, Computational Mechanics

Research Host

International Centre for Numerical Methods in Engineering (CIMNE)

PhD awarding institution/s

Polytechnic University of Catalonia (UPC) & RMIT University

RMIT University

Other Positions

Supervisors

Prof. Tor Helge Aas (UiA) and Prof. Anne-Laure Mention (RMIT)

PhD awarding institution/s

University of Agder (UiA) & RMIT University

Supervisors

Prof. Tor Helge Aas (UiA) and Prof. Anne-Laure Mention (RMIT)

PhD awarding institution/s

University of Agder (UiA) & RMIT University

Supervisors

Prof. Mikko Pynnönen (LUT) and Prof. Anne-Laure Mention (RMIT) Juha Kauppinen (Mikkeli Development, Miksei Ltd)

PhD awarding institution/s

Lappeenranta – Lahti University of Technology (LUT) & RMIT University

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