English  |  正體中文  |  简体中文  |  全文筆數/總筆數 : 56850/90584 (63%)
造訪人次 : 12158178      線上人數 : 87
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜尋範圍 查詢小技巧:
  • 您可在西文檢索詞彙前後加上"雙引號",以獲取較精準的檢索結果
  • 若欲以作者姓名搜尋,建議至進階搜尋限定作者欄位,可獲得較完整資料
  • 進階搜尋
    請使用永久網址來引用或連結此文件: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/118924


    題名: On the Optimization Performance Study of Flapping Aerial Vehicle under Heavy Rain Condition
    作者: 宛同;陳國瑋;王驤
    關鍵詞: Flapping Wing;Heavy Rain;Kriging Method;Performance Parameter
    日期: 2020-01-06
    上傳時間: 2020-07-15 12:10:53 (UTC+8)
    摘要: Flapping-Wing Aerial Vehicle generally has light-weight and small size characteristics, and its small scale is particularly suited for surveillance mission, but quite fragile to severe weather impact. Here we consider the environmental effects to measure its performance degradation level. In order to realize the weather impact’s effect, a flight vehicle energy equation to measure flight performance in terms of quantitative parameter is first derived. The 2-D “figure-eight” flapping airfoil motions are first validated, and then the 3-D butterfly performance parameter under different atmospheric conditions are numerically simulated and compared. Both the butterfly body and wing flapping motions are activated and implemented in current research. From the difference of performance parameter under different weather condition, it can show how much flapping frequency it has to increase in order to maintain the same clear weather flight performance. It is believed that the quantitative information gained in this work will be useful in the future optimal design of flapping wing aerial vehicles.
    關聯: 2020 AIAA Science and Technology Forum and Exposition
    DOI: 10.2514/6.2020-1736
    顯示於類別:[航空太空工程學系暨研究所] 會議論文

    文件中的檔案:

    檔案 描述 大小格式瀏覽次數
    index.html0KbHTML11檢視/開啟

    在機構典藏中所有的資料項目都受到原著作權保護.

    TAIR相關文章

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - 回饋