M.Y. Shaheen MSc (Yousef)

I have lived, studied and worked in six countries (Syria, Austria, Italy, Germany, Poland and The Netherlands) :D

I am a PhD candidate at the University of Twente. My research focuses on the numerical and experimental process optimization of laser powder bed fusion technology (LPBF). I utilize existing numerical models/tools and develop new ones to predict materials processability for LPBF. In addition, I calibrate and validate the simulation results with experiments.

I completed my undergraduate studies in a five years BSc program in “Mechanical Engineering” at Damascus University. During this, I worked as a mechanical designer and completed a research internship at Vienna University of Technology; investigating crack formation during continuous casting. In 2012 I graduated with honours and obtained academic excel awards in 2010, 2011 and 2013. After that, I worked as a mechanical engineer for about two years.
I have always been interested in computational tools to solve engineering and physics problems. This motivated me to do a MSc degree in a related field. In 2014, I was awarded a full scholarship from the European Commission to complete my MSc studies in the joint MSc Erasmus Mundus degree program “MathMods”. In 2016, I graduated with a double major MSc degree in “Mathematical Engineering” and “Computational Materials Science”.

More about me: I like reading, hiking, astronomy, fitness activity, meeting friends and travelling.

Physics & Astronomy

# Manufacturing
# Simulation

Chemistry

# Elemental Carbon
# Interatomic Potential
# Spreading

Engineering & Materials Science

# 3d Printers
# Graphene
# Molecular Dynamics

Faculty of Engineering Technology (ET), Multi Scale Mechanics (MSM)

Project: Numerical and Experimental Studies of Processes Governing Selective Laser Sintering/Melting (Laser Powder Bed Fusion-Additive Manufacturing).

Selective Laser Sintering / Melting (SLS/SLM) is an additive manufacturing process consisting of various stages, each requiring different process parameters. Typically, the optimization of those parameters to achieve the desired final properties is done by performing costly experimental trials. I am developing a computational model that will help reduce the number of trials, thereby reducing the manufacturing costs. In addition, allowing processability predictions for new materials. This is achieved by comparing numerical results obtained through simulation of individual production steps against experimental data on the same processes (powder spreading process, powder sintering/melting and printed parts mechanical characterization), to advance the development of accurate predictive models.

Roy, S. , Shaheen, M. Y., & Pöschel, T. (2023). Effect of cohesion on structure of powder layers in additive manufacturing. Granular matter, 25(4), Article 68. https://doi.org/10.1007/s10035-023-01349-4

Shaheen, M. Y. , Thornton, A. R. , Luding, S. , & Weinhart, T. (2021). The influence of material and process parameters on powder spreading in additive manufacturing. Powder technology, 383, 564-583. https://doi.org/10.1016/j.powtec.2021.01.058

Weinhart, T., Orefice, L., Post, M. , van Schrojenstein Lantman, M. P. , Denissen, I. F. C. , Tunuguntla, D. R., Tsang, J. M. F. , Cheng, H. , Shaheen, M. Y. , Shi, H., Rapino, P., Grannonio, E., Losacco, N., Barbosa, J., Jing, L., Alvarez Naranjo, J. E. , Roy, S. , den Otter, W. K. , & Thornton, A. R. (2020). Fast, flexible particle simulations — An introduction to MercuryDPM. Computer physics communications, 249, Article 107129. https://doi.org/10.1016/j.cpc.2019.107129

Shaheen, M. Y. , Thornton, A. , Luding, S. , & Weinhart, T. (2019). Discrete particle simulation of the spreading process in additive manufacturing. In DEM 8: 8th International Conference on Discrete Element Methods: Book of Abstracts (pp. 263-263). Article 274 University of Twente.

Thornton, A. R., Post, M., Orefice, L., Rapino, P. , Roy, S., Polman, H. , Shaheen, M. Y., Alvarez Naranjo, J. E. , Cheng, H., Jing, L. , Shi, H., Mbaziira, J., Roeplal, R. , & Weinhart, T. (2019). Faster, more flexible particle simulations: The future of MercuryDPM. Paper presented at 8th International Conference on Discrete Element Methods, DEM 2019, Enschede, Netherlands.

Shaheen, M. Y. , Thornton, A. R. , Luding, S. , & Weinhart, T. (2019). Discrete particle simulation of the spreading process in additive manufacturing. Paper presented at 8th International Conference on Discrete Element Methods, DEM 2019, Enschede, Netherlands. https://mercurylab.co.uk/dem8/wp-content/uploads/sites/4/2019/07/274.pdf

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+31534897589

+31534893371 (secretary)

m.y.shaheen@utwente.nl