Microelectromechanical (MEMS) sensors are widely used for real-time inline measurement of fluid-mechanical parameters such as flow speed, viscosity, and density. Optical sensors are particularly suited for label free sensing of chemical composition and particle size distribution (PSD) in the 0.1-10 micron range. The goal of this project, which is in cooperation with TUD, is the integration of optical and MEMS-based sensors to open up new opportunities for flow quantification. Moreover, full control over wavelength, amplitude, phase, and polarization provides the opportunity to improve the accuracy and expand the application of optical sensors.
The scientific challenge is to determine the relation between the fluid-mechanical and optical parameters and combine them in a single multi-parameter flow measurement system.
Multiple MEMS-based flow sensors such as thermal, Coriolis, and pressure sensors have been integrated in a single device and fluidmechanical parameters such as heat capacity, mass flow, density, and viscosity are simultaneously determined. Two additional MEMS multiple parameter sensors will be developed: a dielectric constant and thermal conductivity sensor. These sensors will be combined with other available sensors (Coriolis, pressure) and the optical sensor (TUD) in a unique hybrid integrated flow sensing platform. To avoid the interrelation between fluid-mechanical parameters it will be investigated whether optical techniques can provide “independent” measurements of flow properties: e.g. whether the pressure can be determined from the refractive index change, the viscosity can be determined from the measured P, and the density can be determined from the scattering coefficient. The novel integrated optoelectronic sensing platform potentially can significantly improve the parameter estimation, e.g. the fat percentage in milk or the amount of oil in oil/water mixtures, for which algorithms need to be developed.
We invite applications for a PhD position to work towards an experimental proof of concept of a microelectromechanical (MEMS) multi parameter sensor system for real-time inline measurement of fluid-mechanical parameters. Properties of interest include flow speed, viscosity, and density. Optical sensors are particularly suited for label free sensing of chemical composition and particle size distribution (PSD) in the 0.1-10 micrometer range.
The scientific goal of this project is to integrate optical and MEMS-based sensors into one system to open up new opportunities for flow characterization of liquid mixtures such as milk or oil (connected to a specific application).
You will work together with another PhD student (at TUD responsible for optical sensing) and Postdoc (at UT responsible for the algorithms).
The University of Twente. We stand for life sciences and technology. High tech and human touch. Education and research that matter. New technology which leads change, innovation and progress in society. The University of Twente is the only campus university of the Netherlands; divided over five faculties we provide more than fifty educational programmes. We have a strong focus on personal development and talented researchers are given scope for carrying out groundbreaking research.
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The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) comprises three disciplines that shape Information and Communication Technology. ICT is more than communication. In almost every product we use mathematics, electronics and computer technology and ICT now contributes to all of societies' activities. The faculty works together intensively with industrial partners and researchers in the Netherlands and abroad and conducts extensive research for external commissioning parties and funders. The research which enjoys a high profile both at home and internationally, has been accommodated in the multidisciplinary research institutes: Mesa+ Institute, TechMed Centra and Digital Society Institute.
Universiteit Twente (UT)
Drienerlolaan 5, 7522 NB, Enschede
Solliciteer op deze vacature via de website van de werkgever.
Dit sollicitatieproces wordt beheerd door de werkgever (Universiteit Twente (UT)). Heb je nog aanvullende vragen over jouw sollicitatie, neem dan contact op met de werkgever.
Solliciteer uiterlijk op 1 apr 2019.