Dr. Xiaofeng Liu

Dr. Xiaofeng Liu

Associate Professor
Academic Affairs
College of Engineering
Department of Aerospace Engineering

SDSU

Email

Primary Email: [email protected]

Phone/Fax

Primary Phone: 619-594-1364

Building/Location

Engineering - 311
5500 Campanile Drive
San Diego, CA 92182

Website Links

Bio

Dr. Xiaofeng Liu, an associate fellow of the American Institute of Aeronautics and Astronautics, is a leading expert in experimental fluid dynamics. His work and education experience includes Johns Hopkins University, University of Notre Dame, Tsinghua University, China Academy of Launch Vehicle Technology and Beijing University of Aeronautics and Astronautics. Dr. Liu has extensive experience in flow diagnostic tool usage including hot wire, seven-hole probe, LDV and PIV.

His research interests broadly reside in high-lift aerodynamics, turbulent shear layer and wake flows, vortex dynamics, cavitation, bubble dynamics, multiphase flow, hypersonic flow, drag reduction, fluid-structure interactions, biomedical acoustics, heat and mass transfer, particle image velocimetry and image processing. His current focus is on the development of time-resolved non-intrusive 3-D pressure field measurement techniques and their applications in the study of turbulence and unsteady aerodynamics.

Education

  • Ph.D., University of Notre Dame

Interests

  • Experimental Fluid Dynamics
  • Aerodynamics
  • Turbulence
  • Image Processing

Awards & Honors

  • Outstanding Contribution to Aerospace Education Award, 2022, AIAA San Diego Section.
  • Most Influential Faculty Award, College of Engineering, San Diego State University, 2019.
  • Best Faculty Award in Aerospace Engineering for the 2016-2017 academic year from the Associated Engineering Student Council at San Diego State University.
  • Associate Fellow AIAA, since October 17, 2013.
  • Best Graduate Student Paper Award, co-authored with Pranav Joshi and Joseph Katz, AIAA Region I YPSE Conference, 2012.
  • AIAA special service citation for spearheading the formation of the Johns Hopkins University AIAA Student Branch, 2006.
  • Best Graduate Presentation Award, AIAA Region I Technical Mini-Conference, 2004.
  • Lab Technological Achievement Award by Tsinghua University, 1994.
  • Excellent Young Faculty Member Award by Tsinghua University, 1994.

Publications

  • Wang, Q. and Liu, X., (2023), “Green’s Function Integral Method for Pressure Reconstruction from Measured Pressure Gradient and the Interpretation of Omnidirectional Integration”, Physics of Fluids, 35, 7. https://doi.org/10.1063/5.0156777.
  • Moreto, J. R., Reeder, W. J., Budwig, R., Tonina, D., & Liu, X. (2022). Experimentally mapping water surface elevation, velocity and, pressure fields of an open channel flow around a stalk. Geophysical Research Letters, 49, e2021GL096835. https://doi.org/10.1029/2021GL096835.
  • Liu, X. and Moreto, J. R., (2021), “Pressure reconstruction of a planar turbulent flow field within a multiply-connected domain with arbitrary boundary shapes”, Physics of Fluids 33, 101703 (2021); https://doi.org/10.1063/5.0066332.
  • Liu, X. and Moreto, J. R., 2020, “Error propagation from the PIV-based pressure gradient to the integrated pressure by the omni-directional integration method”, Meas. Sci. Technol., https://doi.org/10.1088/1361-6501/ab6c28
  • Liu, X., Moreto, J.R. and Dorado, J., 2019, “Constant Temperature Anemometry: A Tool to Study Turbulent Boundary Layer Flow”, JoVE Science Education Database, Aerospace Engineering, JoVE, Cambridge, MA. https://www.jove.com/science-education/10455/constant-temperature-anemometry-tool-to-study-turbulent-boundary
  • Moreto, J.R. and Liu, X., 2019, “Aerodynamic Performance of a Model Aircraft: The DC-6B”, JoVE Science Education Database, Aerospace Engineering, JoVE, Cambridge, MA. https://www.jove.com/science-education/10456/aerodynamic-performance-of-a-model-aircraft-the-dc-6b
  • Moreto, J.R., Jacobs, G. and Liu, X., 2019, “Flow Visualization in a Water Tunnel: Observing the Leading-edge Vortex Over a Delta Wing”, JoVE Science Education Database, Aerospace Engineering, JoVE, Cambridge, MA. https://www.jove.com/science-education/10459/flow-visualization-water-tunnel-observing-leading-edge-vortex-over
  • Moreto, J.R., Dorado, J. and Liu, X., 2019, “Schlieren Imaging: A Technique to Visualize Supersonic Flow Features”, JoVE Science Education Database, Aerospace Engineering, JoVE, Cambridge, MA. https://www.jove.com/science-education/10458/schlieren-imaging-a-technique-to-visualize-supersonic-flow-features
  • Moreto, J.R. and Liu, X., 2019, “Turbulence Sphere Method: Evaluating Wind Tunnel Flow Quality”, JoVE Science Education Database, Aerospace Engineering, JoVE, Cambridge, MA. https://www.jove.com/science-education/10457/turbulence-sphere-method-evaluating-wind-tunnel-flow-quality
  • Sempionatto, J. R., Martin, A., García‐Carmona, L., Barfidokht, A., Kurniawan, J. F., Moreto, J. R., Tang, G., Shin, A., Liu, X., and Wang, J., 2019, “Skin‐Worn Soft Microfluidic Potentiometric Detection System”, Electroanalysis, 31:2, 239–245
  • Liu, X., and Katz, J., Pressure–Rate-of-Strain, Pressure Diffusion and Velocity–Pressure-Gradient Tensor Measurements in a Cavity Flow, AIAA Journal, pp. 1-18, August 14, 2018 (online), https://doi.org/10.2514/1.J056168
  • Martín, A., Kim, J., Kurniawan, J.F., Sempionatto, J.R., Moreto, J.R., Tang, G., Campbell, A.S., Shin, A., Lee, M.Y., Liu, X. and Wang, J., 2017, Epidermal Microfluidic Electrochemical Detection System: Enhanced Sweat Sampling and Metabolite Detection. ACS sensors, 2(12), pp.1860-1868. DOI: 10.1021/acssensors.7b00729
  • Siddle-Mitchell, S., Liu, X. and Katz, J., Investigation of the Influence of Subgrid-scale Stress on the Accuracy of Non-intrusive Spatial Pressure Measurement using a DNS Channel Flow Database, AIAA-2016-3403, AIAA Aviation 2016, June 13-17, Washington DC, doi:10.2514/6.2016-3403
  • Liu, X., Moreto, J. R. and Siddle-Mitchell, S., Instantaneous Pressure Reconstruction from Measured Pressure Gradient using Rotating Parallel Ray Method, AIAA-2016-1049, 54th AIAA Aerospace Sciences Meeting, AIAA SciTech, doi: 10.2514/6.2016-1049
  • Liu, X., Siddle-Mitchel, S., Rybarczyk, R. and Katz, J., Investigation of the influence of the subgrid-scale stress on non-intrusive spatial pressure measurement using an isotropic turbulence database, 11th International Symposium on Particle Image Velocimetry – PIV15, Santa Barbara, California, September 14-16, 2015
  • Joshi, P., Liu, X. and Katz, J., Effect of mean and fluctuating pressure gradients on boundary layer turbulence, Journal of Fluid Mechanics, Vol. 748, June 2014, pp. 36–84. DOI:10.1017/jfm.2014.147
  • Liu, X. and Katz, J., Vortex-corner interactions in a cavity shear layer elucidated by time resolved measurements of the pressure field, Journal of Fluid Mechanics, Vol. 728, August 2013, pp 417-457. DOI: 10.1017/jfm.2013.275
  • Liu, X. and Katz, J., Cavitation phenomena occurring due to interaction of shear layer vortices with the trailing corner of a 2D open cavity, Physics of Fluids, 20, 041702, DOI:10.1063/1.2897320. (2008)
  • Liu, X. and Katz, J., Instantaneous pressure and material acceleration measurements using a four exposure PIV system, Experiments in Fluids, Vol. 41, No. 2, August 2006, pp227-240
  • Liu, X. and Thomas, F.O., Measurement of the turbulent kinetic energy budget of a planar wake flow in pressure gradients, Experiments in Fluids, Vol. 37, No. 4, October, 2004, pp469-482
  • Thomas, F.O. and Liu, X., An experimental investigation of symmetric and asymmetric turbulent wake development in pressure gradient, Physics of Fluids, Vol.16, No.5, May 2004, pp1725-1745
  • Liu, X., Thomas, F.O., and Nelson, R.C., An experimental investigation of the planar turbulent wake in constant pressure gradient, Physics of Fluids, Vol.14, No.8, August 2002, pp2817-2838
  • Thomas, F.O., Nelson, R.C. and Liu, X., Experimental investigation of the confluent boundary layer of a high-lift system, AIAA Journal, Vol. 38, No.6, June 2000, pp978-988