Carré

dr.ir. D. Alveringh (Dennis)

Universitair docent
EEMCS-EE-IDS
Carré C2609
d.alveringh@utwente.nl
+31534895199
Visitekaartje

Expertises

  • Engineering

    • Flow Sensor
    • Sensor
    • Capacitive
    • Actuation

  • Earth and Planetary Sciences

    • Mass Flow

  • Physics

    • Detection
    • Pressure
    • Fabrication

Organisaties

Publicaties

2024

Flow-through Microfluidic Relative Permittivity Sensor Using Highly-Doped Silicon Sidewall Electrodes (2024)Journal of micromechanics and microengineering, 34(11). Article 115002. Bonnema, M., Veltkamp, H.-W., Alveringh, D., Wiegerink, R. J. & Lötters, J. C.https://doi.org/10.1088/1361-6439/ad7ec6Advances in 2D Anemometry (2024)[Contribution to conference › Poster] IEEE SENSORS 2024. Hackett, T. L., Sanders, R. G. P., Choi, J. Y., Džemaili, N., Winnen, V., van den Berg, T. E., Alveringh, D. & Schmitz, J.Method for detecting fluid parameters using a flow sensor configuration (2024)[Patent › Patent]. Alveringh, D., Le, D. V., Groenesteijn, J. & Lötters, J. C.https://patents.google.com/patent/NL2034449B1/Design Parameter Comparison for a Silicon-based Directional Low Drift Thermal Anemometer for Horticultural Applications (2024)[Contribution to conference › Abstract] 50th International Micro and Nano Engineering Conference, MNE 2024. Hackett, T., Sanders, R. G. P., Alveringh, D. & Schmitz, J.A Machine Learning Enhanced MEMS Thermal Anemometer for Detection of Flow, Angle of Attack, and Relative Humidity (2024)IEEE Sensors Letters, 8(7). Article 6008304. Hackett, T., Sanders, R. G. P., Schmitz, J., Alveringh, D., van den Berg, T. E. & Choi, J. Y.https://doi.org/10.1109/LSENS.2024.3418193A Multi-Parameter measurement system for MEMS Anemometers for Data Collection with Machine Learning Outcomes (2024)[Contribution to conference › Poster] 5th Conference on MicroFluidic Handling Systems, MFHS 2024. Hackett, T. L., Sanders, R. G. P., van den Berg, T. E., Alveringh, D. & Schmitz, J.A Multi-Parameter Measurement System for MEMS Anemoters for Data Collection with Machine Learning Outcomes (2024)[Contribution to conference › Paper] 5th Conference on MicroFluidic Handling Systems, MFHS 2024. Hackett, T., Alveringh, D., Sanders, R. G. P., van den Berg, T. E. & Schmitz, J.Inline and Real-Time Microfluidic Relative Permittivity Sensor Using Highly Doped Silicon Sidewall Electrodes (2024)In 2024 IEEE 37th International Conference on Micro Electro Mechanical Systems (MEMS) (pp. 805-808). Bonnema, M. J. S., Veltkamp, H.-W., Alveringh, D., Wiegerink, R. J. & Lötters, J. C.https://doi.org/10.1109/mems58180.2024.10439445Machine learning-enhanced mass flow measurements using a Coriolis mass flow sensor (2024)In The 5th Conference On MicroFluidic Handling Systems (MFHS 2024) (pp. 65-68). Zubavicius, R., Alveringh, D., Poel, M., Groenesteijn, J., Sanders, R. G. P., Wiegerink, R. J. & Lötters, J. C.Fluid Viscosity and Density Determination With Machine Learning-Enhanced Coriolis Mass Flow Sensors (2024)In 2024 IEEE 37th International Conference on Micro Electro Mechanical Systems (MEMS) (pp. 82-85). IEEE. Zubavicius, R., Alveringh, D., Poel, M., Groenesteijn, J., Sanders, R. G. P., Wiegerink, R. J. & Lötters, J. C.https://doi.org/10.1109/MEMS58180.2024.10439597

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