Investigation of geometric parameters on the performance of MEMS calorimetric wall shear stress sensors using numerical and experimental approaches

Fluid flow over surfaces is a fundamental phenomenon in various engineering applications, where the determination of wall shear stress plays a crucial role. Calorimetric wall shear stress sensors, based on micro-electromechanical systems (MEMS) technology, offer promising solutions for wall flow conditions due to their ability to detect flow direction and fluctuations in wall shear stress with high temporal resolution. This paper presents a comprehensive investigation into the influence of geometric parameters on the performance of calorimetric wall shear stress sensors. Both experimental and numerical methodologies are employed to explore parameters such as the distance between detectors and heaters and the size of the cavity. Numerical simulations demonstrate the effects of inter-beam distance on measurement range and sensitivity, highlighting trade-offs between enhanced range and potential sensitivity compromise. Additionally, the influence of cavity size, particularly depth, on sensor sensitivity is elucidated, with optimal sensitivity observed at depths exceeding 100 µm. Experimental studies corroborate numerical findings, providing valuable insights into practical sensor behavior. Furthermore, the study compares sensors with different cavity shapes, offering insights for sensor design and fabrication. Overall, this investigation enhances our understanding of calorimetric wall shear stress sensors and their potential applications in engineering contexts, guiding future research and development efforts in sensor technology.

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Publication Details

Journal
Sensors and Actuators A Physical
Published
2025-03-30
DOI
https://doi.org/10.1016/j.sna.2025.116528
Citations
3
Primary Topic
Heat Transfer and Optimization
Type
article
Field-Weighted Citation Impact
2.14
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article

Investigation of geometric parameters on the performance of MEMS calorimetric wall shear stress sensors using numerical and experimental approaches

Philippe Combette, Baptiste Baradel, Julien Weiss, Alain Giani et al.
3 citations
Sensors and Actuators A Physical
Heat Transfer and Optimization
2.14
article

Investigation of geometric parameters on the performance of MEMS calorimetric wall shear stress sensors using numerical and experimental approaches

Philippe Combette, Baptiste Baradel, Julien Weiss, Alain Giani, Léo Chamard
article en
3 citations

Abstract

Fluid flow over surfaces is a fundamental phenomenon in various engineering applications, where the determination of wall shear stress plays a crucial role. Calorimetric wall shear stress sensors, based on micro-electromechanical systems (MEMS) technology, offer promising solutions for wall flow conditions due to their ability to detect flow direction and fluctuations in wall shear stress with high temporal resolution. This paper presents a comprehensive investigation into the influence of geometric parameters on the performance of calorimetric wall shear stress sensors. Both experimental and numerical methodologies are employed to explore parameters such as the distance between detectors and heaters and the size of the cavity. Numerical simulations demonstrate the effects of inter-beam distance on measurement range and sensitivity, highlighting trade-offs between enhanced range and potential sensitivity compromise. Additionally, the influence of cavity size, particularly depth, on sensor sensitivity is elucidated, with optimal sensitivity observed at depths exceeding 100 µm. Experimental studies corroborate numerical findings, providing valuable insights into practical sensor behavior. Furthermore, the study compares sensors with different cavity shapes, offering insights for sensor design and fabrication. Overall, this investigation enhances our understanding of calorimetric wall shear stress sensors and their potential applications in engineering contexts, guiding future research and development efforts in sensor technology.

Sensors and Actuators A PhysicalVol. 389
Centre National de la Recherche Scientifique (FR), Université de Montpellier (FR), American Institute of Aeronautics and Astronautics (US)
Openalex Percentile: Top 15%
Heat Transfer and Optimization
2.14
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