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.

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

Closed Position

RMIT University

Other Positions

Supervisors

Dr. Malte Wagenfeld and Prof. Regina Bernhaupt

PhD awarding institution/s

Eindhoven University of Technology (TU/e), Netherlands and RMIT University, Australia

Location

Netherlands

Status

Open Position

Supervisors

Dr. Carmen Mendoza Arroyo, Prof. Esther Charlesworth and Dr. Apen Ruiz Martinez (Project 1)

PhD awarding institution/s

Universitat Internacional de Catalunya (UIC) and RMIT University

Location

Spain

Status

Open Position

Supervisors

Prof. Jesus Cerquides and Associate Prof. Jeffrey Chan and Dr. Azadeh Alavi.

PhD awarding institution/s

Autonomous University of Barcelona (UAB), Spain and RMIT  University, Australia

Location

Spain

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

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