@inproceedings{d2931b6516e148c5b6a399a0e2d5ce9f,
title = "In-Flight Airflow Measurements for a High Maneuverability Ornithopter",
abstract = "This paper presents a novel airflow measurement solution for high-maneuverability ornithopters. The use of 3D printing technology in combination with metal tubes reduces the difficulty and cost of creating sensors while ensuring high reliability and measurement accuracy. Flow sensing employs a flow sensor instead of a differential pressure sensor, giving higher accuracy and sensitivity. CFD calculations are used to guide and validate the geometric design of the probe. Wind tunnel tests were conducted to verify the sensor{\textquoteright}s accuracy, and the sensor was calibrated using the test data. The results show that the sensors in this paper have good accuracy at low airspeeds and large airflow deflections.",
keywords = "Atmospheric modeling, Flow sensor, In-flight measurement, Ornithopter",
author = "Zhihe Wang and Bifeng Song and Kang Liu and Ang Chen",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.; Asia-Pacific International Symposium on Aerospace Technology, APISAT 2023 ; Conference date: 16-10-2023 Through 18-10-2023",
year = "2024",
doi = "10.1007/978-981-97-4010-9\_144",
language = "英语",
isbn = "9789819740093",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "1872--1881",
editor = "Song Fu",
booktitle = "2023 Asia-Pacific International Symposium on Aerospace Technology, APISAT 2023, Proceedings - Volume II",
}