Xudong Zheng Headshot

Xudong Zheng

Associate Professor

Department of Mechanical Engineering
Kate Gleason College of Engineering
xxzeme@rit.edu
585-475-4256
Office Location
GLE-2181

Xudong Zheng

Associate Professor

Department of Mechanical Engineering
Kate Gleason College of Engineering

Bio

Research Interests

Read More
xxzeme@rit.edu
585-475-4256
Personal Links
Personal Website

Select Scholarship

Latest Publication

  1. Dariush, B., Wang.  J-X, Xue, Q. and Zheng, X (2023) "Effects of antagonistic muscle actuation on the bilaminar structure of ray-finned fishes in proulsion", J Fluid Mech.  accepted.
  2. Jiang, W., Zheng,X., Farbos De Luzan, C., Oren, L, Gutmark, E. and Xue, Q (2023)_ "The effects of Negative pressure induced by flow separation vortices on vocal fold dynamics during voice production", Bioengineering 2023, 10(10), 1215.
  3. Badaghi, D., Wang, Y., Liu, G., Liu, D., Xue, Q., and Zheng, X.(2023). “Deciphering the connection between upstream obstacles, wake structures, and root signals in seal whisker array sensing using interpretable neural networks.”  Frontiers in Robotics and AI , 2023; 10: 1231715.
  4. Movahhedi, M., Liu, X-Y, Geng, B., Elemans, C., Xue, Q., Wang, J-X., Zheng, X. (2023). “Predicting 3D soft tissue dynamics from 2D imaging using physics informed neural networks.”  Communications Biology, 6(1), 541. 
  5. Wang, X, Zheng, X., Xue Q. (2023). “The influence of fiber orientation of the conus elastics in vocal fold modeling.” J. Biomech. Eng, 145(9), BIO-22-1167.  

Currently Teaching

MECE-355
Fluid Mechanics II
3 Credits
A second course in fluid mechanics, integrating concepts of heat and mass transfer. Use of the differential form of the fundamental equations of the conservation of mass, momentum and energy is derived and used throughout. Topics include potential flow, viscous internal plane and pipe flows, external velocity and thermal boundary layers, and the formulations of conductive and convective transport of heat flows.
MECE-725
Computational Methods in Fluid Dynamics
3 Credits
This graduate-level course offers a comprehensive introduction to numerical methods applied to partial differential equations (PDEs) in the context of fluid dynamics. Students will also delve into various numerical techniques tailored for simulating viscous fluid flows. Student will gain the necessary knowledge to select the most appropriate numerical schemes for different flow configurations. By the end of the course, students will possess the expertise required to tackle complex fluid dynamics problems using advanced computational methods.

In the News

More News