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Z. Jane Wang

Mechanical Engineering · Cornell University  high

研究方向

方向提炼待补(distill 阶段生成)。

该校申请信息 · Cornell University

ME deadline(legacy)
申请费

近三年论文 · 3 篇 (点击展开摘要,时间倒序)

Kinematics and aerodynamics of in-flight drinking in bats
Journal of The Royal Society Interface · 2025 · cited 2 · doi.org/10.1098/rsif.2024.0616
Bats, the only mammals with powered flight, provide inspiration to engineer highly manoeuvrable flapping wing aerial vehicles due to their ability in performing several complex manoeuvres. While straight flight manoeuvres have been extensively studied, drinking flight manoeuvres have not. We have studied two insectivorous bat species in terms of wing kinematics and aerodynamics during drinking flight: Hipposideros pratti and Rhinolophus ferrumequinum . During drinking, both bat species decrease their flapping amplitude and simultaneously increase their flapping frequency. The flapping angle during drinking flight manoeuvre is higher throughout the wingbeat compared with straight flight manoeuvre, while the sweep angle variation is reduced. Furthermore, the wing attains the most folded state earlier in the wingbeat during in-flight drinking. In addition, the angle of attack on the handwing at the end of downstroke is higher by almost 30 <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:msup> <mml:mo>⁣</mml:mo> <mml:mo lspace="0em" rspace="0em">∘</mml:mo> </mml:msup> </mml:math> –40 <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:msup> <mml:mo>⁣</mml:mo> <mml:mo lspace="0em" rspace="0em">∘</mml:mo> </mml:msup> </mml:math> in drinking flight indicating an active control to manipulate the aerodynamic forces as per the requirements of the manoeuvre. Finally, our force analysis reveals that the lift coefficient for drinking flight is more than twice that for straight flight. We discuss the potential role of ground effect in this lift enhancement.
A comprehensive comparison study between Deep Operator networks neural network and long short-term memory for very short-term prediction of ship motion
Journal of Hydrodynamics · 2024 · cited 9 · doi.org/10.1007/s42241-025-0106-2
A comprehensive comparison study between DeepOnet and LSTM for very short-term prediction of ship motion
Research Square · 2024 · cited 0 · doi.org/10.21203/rs.3.rs-4943577/v1