Lilian de Martín

Assistant Professor at Chemistry and Chemical Engineering /Chemical Engineering/ Chemical Engineering Design

Lilian obtained her PhD in Chemical Engineering at Complutense University of Madrid (Spain) on diagnosis of gas-solid fluidized beds dynamics by acoustic techniques.
In 2010, she joined as a postdoc researcher the Product and Process Engineering group at TU Delft, The Netherlands. Her main research project focused on the study of the structural properties of nanoparticle agglomerates in gas-solid fluidized beds. In 2014, she joined the Centre for Nature Inspired Engineering at University College London to study dynamical self-organization and how to use this concept to design more robust materials and processes.
Since 2016 she has been assistant professor in Chalmers. Her interests range from design and intensification of multi-phase processes to non-linear diagnosis.
She gives lectures in Mathematical Modeling in Chemical Engineering (KAA052) at undergraduate level.
​Lectures in Mathematical Modeling in Chemical Engineering (KAA052) at undergraduate level.
Articles

  1. Wu, K., de Martín, L., and Coppens, M.-O. Pattern formation in pulsed gas-solid fluidized beds – The role of granular solid mechanics. Chem Eng J, 2017; https://doi.org/10.1016/j.cej.2017.05.152.
  2. Wu, K., de Martín, L., Mazzei, L., and Coppens, M.-O. Pattern formation in fluidized beds as a tool for model validation: a two-fluid model based study. Powder Technol, 2016; 295: 35.
  3. De Martín, L., Bouwman,W.G., and van Ommen, J.R. Multidimensional nature of fluidized nanoparticle agglomerates. Langmuir, 2014; 30 (42): 12696.
  4. De Martín, L., Fabre, A., and van Ommen, J.R. The fractal scaling of fluidized nanoparticle agglomerates. Chem Eng Sci, 2014; 112 (14): 79.
  5. Kuijpers, K.R., de Martín, L., and van Ommen, J.R. Optimizing off lattice diffusion-limited aggregation. Comp Phys Comm, 2014; 185 (3): 841.
  6. De Martín, L., Sánchez-Prieto, J., Hernández-Jiménez, F., and van Ommen, J.R. A settling tube to determine the terminal velocity and size distribution of fluidized nanoparticle agglomerates. J Nano Res, 2014; 16 (1): 2183.
  7. De Martín, L. and van Ommen, J.R. A model to estimate the size of nanoparticle agglomerates in gas-solid fluidized beds. J Nano Res, 2013; 15 (11): 2055.
  8. Tahmasebpoor, M., de Martín, L., Talebi, M., Mostoufi, N., and van Ommen J.R. The role of the hydrogen bond in dense nanoparticle-gas suspensions. Phys Chem Chem Phys, 2013; 15 (16): 5788.
  9. De Martín, L. and van Ommen, J.R. Estimation of the overall mass flux in inclined standpipes by means of pressure fluctuation measurements. Chem Eng J, 2012; 204-206: 125.
  10. De Martín, L., van den Dries, K., and van Ommen, J.R. Comparison of three different methodologies of pressure signal processing to monitor fluidized–bed dryers/granulators. Chem Eng J, 2011; 172 (1): 487.
  11. De Martín L., Briongos J.V., Aragón J.M., and García-Hernando, N. Detecting regime transitions in gas-solid fluidized beds from low frequency accelerometry signals. Powder Technol, 2011; 207 (1–3): 104.
  12. Castilho, G.J., Cremasco, M.A., de Martín, L., and Aragón, J.M. Experimental fluid dynamics study in a fluidized bed by deterministic chaos analysis. Particul Sci Technol, 2011; 29(2): 179.
  13. De Martín L., Briongos J.V., Aragón J.M., and Palancar M.C. Can low frequency accelerometry replace pressure measurements for monitoring gas-solid fluidized beds? Chem Eng Sci, 2010; 65 (13): 4055.
  14. Aragón J.M., Palancar M.C., and de Martín L. Releases modelling in reservoir. Chem Eng T, 2010; 19: 261.

Books
  1. De Martín, L. and van Ommen, J.R. Chapter: Reactors: idealized chemical reactors. In: Biomass, a sustainable energy source for the future. Fundamentals of conversion processes.Eds. W. de Jong and J.R. van Ommen. Wiley, 2014.

Published: Fri 07 Apr 2017. Modified: Thu 24 Aug 2017