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PMID: 36144111 Published · epublish English Journal Article

3D Numerical Simulation and Structural Optimization for a MEMS Skin Friction Sensor in Hypersonic Flow.

Micromachines ·Vol. 13 ·No. 9 ·2022-09-07

Guo H, Wang X, Liu T, Guo Z, Gao Y

Abstract

The skin friction of a hypersonic vehicle surface can account for up to 50% of the total resistance, directly affecting the vehicle's effective range and load. A wind tunnel experiment is an important and effective method to optimize the aerodynamic shape of aircraft, and Micro-Electromechanical System (MEMS) skin friction sensors are considered the promising sensors in hypersonic wind tunnel experiments, owing to their miniature size, high sensitivity, and stability. However, the sensitive structure including structural appearance, a gap with the package shell, and flatness of the sensor will change the measured flow field and cause the accurate measurement of friction resistance. Aiming at the influence of sensor-sensitive structure on wall-flow characteristics and friction measurement accuracy, the two-dimensional and three-dimensional numerical models of the sensor in the hypersonic flow field based on Computational Fluid Dynamics (CFD) are presented respectively in this work. The model of the sensor is verified by using the Blathius solution of two-dimensional laminar flow on a flat plate. The results show that the sensor model is in good agreement with the Blathius solution, and the error is less than 0.4%. Then, the influence rules of the sensitive structure of the sensor on friction measurement accuracy under turbulent flow and laminar flow conditions are systematically analyzed using 3D numerical models of the sensor, respectively. Finally, the sensor-sensitive unit structure's design criterion is obtained to improve skin friction's measurement accuracy.

Keywords
3D models CFD friction measurement accuracy laminar flow skin friction sensor turbulent flow
作者与单位
共 5 位作者,点击展开单位 / ORCID
Guo Huihui ORCID
School of Information Engineering, Southwest University of Science and Technology, Mianyang 621010, China. | Robot Technology Used for Special Environment Key Laboratory of Sichuan Province, Mianyang 621010, China.
Wang Xiong
Hypervelocity Aerodynamics Institute, China Aerodynamics Research and Development Center, Mianyang 621010, China.
Liu Tingting
School of Information Engineering, Southwest University of Science and Technology, Mianyang 621010, China.
Guo Zhijiang
School of Information Engineering, Southwest University of Science and Technology, Mianyang 621010, China.
Gao Yang ORCID
School of Information Engineering, Southwest University of Science and Technology, Mianyang 621010, China.
Article Info
Journal
Micromachines
Abbr.
Micromachines (Basel)
ISSN
2072-666X
Published
2022-09-07
电子出版
2022-00-07
Language
English
Country/Region
Switzerland
NLM ID
101640903
基金资助
Sichuan Science and Technology Program under Grant · 2021YJ0105
Southwest University of Science and Technology · 20ZX7114
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