Tyler Rhodes

Tyler Rhodes, Ph.D.

Associate
Mechanical Engineering
Los Angeles
  • CV (English)
  • Contact Card

Dr. Rhodes specializes in mechanical and aerospace engineering, with particular emphasis on fluid dynamics, heat transfer, mechanical design, and scientific computing. He has considerable experience in applying computational thermo-fluid dynamics toward design of mechanical systems, often utilizing high performance computing. He is proficient in commercial CFD, FEA, and CAD software as well as other modern computational engineering tools.

Before coming to Exponent, Dr. Rhodes studied magnetohydrodynamics (MHD) in nuclear fusion reactor concepts as a graduate student researcher at UCLA’s Fusion Science and Technology Center. There, he used supercomputers to simulate the flow of liquid metal thermofluid in strong magnetic fields and neutron radiation. His research explored the interactions between complex duct geometries, thermal buoyancy, and MHD effects. In addition to discovering and characterizing new phenomena, he developed models and correlations to estimate pressure drop and flow distribution in manifolds of prototypic reactor subsystems.

As an undergraduate researcher, Dr. Rhodes worked in UC Santa Barbara’s Experimental Cosmology Group designing mechanical systems for constructing composite telescope backing structures. As project leader, he implemented modern design practices and oversaw the fabrication and testing of a prototype mechatronic system, gaining experience with FEA, CAD, machining, laser tracking, and photogrammetry.

CREDENTIALS & PROFESSIONAL HONORS

  • Ph.D., Mechanical Engineering, University of California, Los Angeles (UCLA), 2019
  • M.S., Mechanical Engineering, University of California, Los Angeles (UCLA), 2015
  • B.S., Mechanical Engineering, University of California, Santa Barbara, 2013

Publications

G. Pulugundla, S. Smolentsev, T. Rhodes, C. Kawczynski, and M. Abdou, Transition to a Quasi Fully Developed MHD Flow in an Electrically Conducting Pipe under a Transverse Non Uniform Magnetic Field, Fus. Sci. Tech. 68.3 (2015) 684 689.

S. Smolentsev, M. Abdou, C. Courtessole, G. Pulugundla, F C. Li, N. Morley, R. Munipalli, P. Huang, C. Kaczynski, J. Young, T. Rhodes, Y. Yan, REVIEW OF RECENT MHD ACTIVITIES FOR LIQUID METAL BLANKETS IN THE US, Magnetohydrodynamics (0024 998X) 53.2 (2017).

T. Rhodes, S. Smolentsev, M. Abdou, Effect of the Length of the Poloidal Ducts on Flow Balancing in a Liquid Metal Blanket, 136, Part B (2018) 847-851.

S. Smolentsev, T. Rhodes, G. Pulugundla, C. Courtessole, M. Abdou, S. Malang, M. Tillack, C. Kessel, MHD thermohydraulics analysis and supporting R&D for DCLL blanket in the FNSF, Fus. Eng. Des.,135 (2018) 314 323.

T. Rhodes, S. Smolentsev, M. Abdou, Magnetohydrodynamic pressure drop and flow balancing of liquid metal flow in a prototypic fusion blanket manifold, Physics of Fluids 30(5), (2018) 057101.

T. Rhodes, Numerical Study of 3D Magnetohydrodynamic Flows Towards Liquid Metal Blankets, Including Complex Geometry and Buoyancy Effects, Diss, UCLA, 2019.

T. Rhodes, G. Pulugundla, S. Smolentsev, M. Abdou, 3D Modelling of MHD Mixed Convection Flow in a Vertical Duct With Transverse Magnetic Field and Volumetric or Surface Heating, Fus. Eng. Des., 160 (2020) 111834.

S. Smolentsev, T. Rhodes, Y. Yan, A. Tassone, C. Mistrangelo, L Buhler, F. R. Urgorri, Code-to-code Comparison for a PbLi Mixed-convection MHD Flow, Fus. Eng. Des., 76.5 (2020): 653-669.

Presentations

T. Rhodes, S. Smolentsev, M. Abdou. Effect of the length of the poloidal ducts on flow balancing in a liquid metal blanket. Poster presentation, 13th International Symposium for Fusion Nuclear Technology, Kyoto, Japan, 2017

Prior Experience

Postdoctoral Researcher, Computational Magnetohydrodynamics Group, UCLA, 2019

Graduate Student Researcher, Fusion Science and Technology Center, UCLA, 2013-2019

Undergraduate Student Researcher, Experimental Cosmology Group, UCSB, 2011-2013

Research Intern, Palmstrom Research Group, UCSB, 2012

Professional Affiliations

Tau Beta Pi

Additional Information

Additional Education Training

Machine Learning, Stanford Online (Coursera), 2017

Peer Reviewer

Fusion Engineering and Design

CREDENTIALS & PROFESSIONAL HONORS

  • Ph.D., Mechanical Engineering, University of California, Los Angeles (UCLA), 2019
  • M.S., Mechanical Engineering, University of California, Los Angeles (UCLA), 2015
  • B.S., Mechanical Engineering, University of California, Santa Barbara, 2013