Dakota Prairie Model and Simulation Lab

The Dakota Prairie Modeling and Simulation Lab will connect industry and academic research with modeling and simulation expertise to enhance the product and system design process, support engineering research and enrich education.

Our goals are to:

  1. Advance South Dakota industries by modeling and simulating their current and future design problems.
  2. Strengthen research and education across the state.
  3. Engage undergraduate and graduate students in engineering research.
DNS data showing a jet in crossflow.
Direct Numerical Simulation (DNS) of two impinging jets in crossflow [1]
LES chart showing sprayer nozzle velocity magnitude in meters per second.
Large Eddy Simulation of sprayer nozzle jet [2]
Chart showing DNS data of a hydrogen鈥揳ir flame.
DNS Autoignition of hydrogen/air diffusion flame [2]
Reynolds Averaged Navier-Skokes (RANS) simulations of cold spray technology [3]
Reynolds Averaged Navier-Skokes (RANS) simulations of cold spray technology [3]
Simulation of an ethylene/air diffusion flame with soot and radiation [1]
Simulation of an ethylene/air diffusion flame with soot and radiation [1]
Software Tools Available

DHMmpi [1]

  • High fidelity simulations
  • LES/DNS
  • MPI Fortran 90
  • Runs on XSEDE

Openfoam (open source CFD code) [2]

STAR-CCM+ (commercial) [3]

PeleC and PeleLM (LBNL CFD code) [4]

  • High fidelity simulations
  • LES/DNS
  • ExaScale Computing

MATLAB (commercial)

Research Group

Dr. Jeffrey Doom
Jeffrey Doom, Ph.D.

Doom's interests are in computational fluid dynamics, combustion, multiphase flows, numerical analysis, high performance parallel computing and heat transfer which pertain to energy/power systems.

Zachary Chapman
Zachary Chapman
Current Ph.D. Student

Project title: Simulations of high-speed combustion

Past Students
Chris Santini
Chris Santini, M.S. (2020) 
Thesis Topic: Particle injection simulation on cold spray technology
Zachary Chapman
Zachary Chapman, M.S. (2020)
Thesis Title: Using computational fluid dynamics to accurately model agricultural spray nozzles
Archibald Amoako
Archibald Amoako, M.S. (2019) Thesis Title: Optimization of heat sinks in a range of configurations
Jennifer Chilelu
Jennifer Chikelu, M.S. (2018) Thesis Title: Simulation of non-premixed ethylene-air crossflow jet flame
Sai Rajkumar Vadla
Sai Rajkumar Vadla, M.S. (2018) Thesis Title: Simulation of gas dynamics cold spray process
Md Sahedul Islam
Md Sahedul Islam, M.S. (2018) Thesis Title: Simulation of different rib shapes in square channel
Santu Golder
Santu Golder, M.S. (2018)
Thesis Title: Simulation of an ethylene flame with turbulence, soot and radiation modeling
Devansh Singh
Devansh Singh, M.S. (2018) Thesis Title: Simulations of impinging jet with a range of configuration
Joseph Petersen
Joseph Petersen, M.S. (2018) Thesis Title: Optimization of microfluidic particle separator geometry using computational fluid dynamics 

References

  1. J. Doom, Y. Hou, K. Mahesh, A numerical method for DNS/LES of turbulent reacting flows. Journal of Computational Physics. 226 (2007) 1136-1151.
  2. Accessed Oct. 27, 2020.
  3. . Accessed Oct. 27, 2020.
  4. . Accessed Oct. 27, 2020.
Lab Contact
Contact Us
Photo of Department of Mechanical Engineering
Department of Mechanical Engineering
Physical Address
1151 8th St.
Brookings, SD 57007
Mailing Address
Crothers Engineering Hall 221, Box 2219
Brookings, SD 57007
Hours
Mon - Fri: 8:00 a.m.-5:00 p.m.
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