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S. Sanchez PhD (Salomé)

Assistant Professor

About Me

Originally from France, Salomé Sanchez completed an integrated Masters in Mechanical Engineering  and a PhD in Manufacturing Engineering at the University of Nottingham. During her PhD, she investigated the creep performance of  Additively Manufactured Inconel 718 (nickel-based superalloy).

Currently, Salomé is working as a postdoctoral researcher in the Design, Production and Management (DPM) group in the Faculty of Engineering Technology, focusing on establishing process-structure-property relationships for Laser Powder Bed Fused Ti-6Al-4V.

Salomé is also part of the Engineering Technology Faculty Council (from September 2022).

Salomé is open to supervising students and to take part in collobrations, particularly in biomedical and machine learning fields.

Research

Salomé's research focuses on metal Additive Manufacturing. More specifically, she focuses on the Laser Powder Bed Fusion (LPBF) of high value alloys. This includes understanding process-structure-property relationships to improve the PBF process performance and capabilities.

Currently, Salomé is aiming to improve feature resolution and controlling porosity in LPBF lattice structures for Regenerative Fuel Cell applications.

Students interested in this field can contact Salomé to develop a project and she is also open to collaborating with other researchers, especially in the biomedical and machine learning fields.

Google Scholar Link

Education

Project 1: Manufacturing course in the Mechanical Engineering Bachelor at UT-VU.

Affiliated Study Programmes

Bachelor

Courses Academic Year  2022/2023

Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.
 

Projects

Salomé's current research is looking into:

- Improving feature size and resolution and to control porosity in LPBF Ti-6Al-4V, with a focus on lattice structures for Regenerative Fuel Cell applications.

- Smart Encoding of LPBF specimens for fast identification.

- Characterising the mechanical performance of stochastic lattice structures.

- Reviewing porosimetry methods for characterising lattice structructures.

 

Any student who would like to discuss project ideas are welcome!

Contact Details

Visiting Address

University of Twente
Drienerlolaan 5
7522 NB Enschede
The Netherlands

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Mailing Address

University of Twente
P.O. Box 217
7500 AE Enschede
The Netherlands

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