Micro Thermo Fluidics
The micro thermo fluidics group investigates heat and mass transport in micro-channels and porous materials for various applications ranging from electronics cooling to heat storage. Understanding small-scale effects, including molecular interactions, is crucial for these systems as they significantly impact overall system behavior.
We aim to address challenges in high-tech systems and promote sustainability by enhancing energy management and developing innovative cooling strategies.
Within this group, the research focuses on two main pillars:
- Thermal control for high-tech systems, focusing on the development of advanced cooling techniques, such as evaporative cooling for micro-electronics and considering molecular flows in low-pressure environments machines.
- Healthy and sustainable energy systems, focusing on dynamic modeling of human thermal comfort and optimizing seasonal heat storage using molecular-level insights and stochastic techniques.
For all research areas, we follow a multi-scale approach that starts at the molecular level and scales up through stochastic methods to derive accurate continuum models, enabling optimization and understanding of complex thermal phenomena.
Some research examples:
- Gas-wall interactions in rarefied gas systems
- Evaporative cooling and transport
- Seasonal heat storage using thermochemical materials
- Dynamic human thermoregulation models
More information: Arjan Frijns
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“to tackle the greatest challenges, grasp the tiniest details”
MEET SOME OF OUR RESEARCHERS
Recent Publications
Our most recent peer reviewed publications
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Shahin Mohammad Nejad,Silvia V. Gaastra-Nedea,Arjan J.H. Frijns,David M.J. Smeulders
A hybrid Gaussian mixture/DSMC approach to study the Fourier thermal problem
Microfluidics and Nanofluidics (2024) -
Mohamad Rida,Arjan Frijns,Dolaana Khovalyg
Modeling local thermal responses of individuals
Building and Environment (2023) -
Mohamad Rida,Arjan J.H. Frijns,Dolaana Khovalyg
Validation of human thermo-physiology models for personalized predictions of thermal responses
(2023) -
S. Mohammad Nejad,S.V. Nedea,Arjan J.H. Frijns
A hybrid gaussian mixture-DSMC approach applied to the Fourier thermal problem
(2023) -
S. Mohammad Nejad,S.V. Nedea,Arjan J.H. Frijns
Derivation of a scattering model for rarefied gas-solid surface by an unsupervised machine learning approach
(2023)
Contact
Dr.ir. Arjan J.H. Frijns
Eindhoven University of Technology
Dept. Mechanical Engineering
PO Box 513, 5600 MB Eindhoven
the Netherlands
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Visiting address
Netherlands