EUT-DC2: Additive Manufacturing

Supervisors: Prof. Raj Das (RMIT) and Associate Prof. Andrey Molotnikov (RMIT) and Prof. Daniel Casellas (EUT) and Full Prof. Antonio Mateo (UPC)

Project 1: Understanding fatigue resistance of AM parts from processing parameters and material properties

Additive manufacturing (AM) is rapidly penetrating the industry to produce high performance parts. Fatigue resistance is one of the key application properties in many engineering components. It is greatly influenced by the pre-existent defects, mainly their size and distribution. A proper understanding of the influence of defects produced during manufacturing is crucial to understand the fatigue resistance and to optimize manufacturing parameters to obtain high performance parts. The PhD focusses on the experimental evaluation of the interaction between microstructure, defects, and materials properties to understand fatigue resistance in AM parts.

 

Project 2: Fatigue assessment of structural parts produced by additive manufacturing

Additive manufacturing (AM) is rapidly penetrating the industry to produce high performance parts. Fatigue resistance is one of the key application properties in many engineering components. Fatigue tests are typically time consuming and require a large amount of material to be tested. For AM parts this is especially relevant because the inherent anisotropy of the process requires also to test specimen in different directions. Such situation hampers the rapid development of AM parts. Rapid fatigue testing methodologies are available for bulk materials. The PhD explores the applicability of such rapid resting techniques to assess the fatigue performance of AM specimens.

 

Project 3: High fatigue performance AM parts by topological optimization

Additive manufacturing (AM) is rapidly penetrating the industry to produce high performance parts. Fatigue resistance is one of the key application properties in many engineering components. AM allows extreme lightweight designs by locally changing material type and part geometry. This is known as topological optimization. The PhD will focusses on the development of high fatigue performance parts designed through topological optimization.

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Reference

EUT-DC2

Research Areas

Advanced Manufacturing and mechatronics, Applied science

Research Host

EURECAT Centre Tecnològic de Catalunya, Spain

PhD awarding institution/s

Polytechnic University of Catalonia (UPC) and RMIT University

Location

Spain

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