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DPMSL - Dakota Prairie Model and Simulation Lab

Dakota Prairie Model and Simulation Lab

The Dakota Prairie Modeling and Simulation Lab (DPMSL) at South Dakota State University (SDSU) 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; and 3) engage undergraduate and graduate students in engineering research.

Direct Numerical Simulation (DNS) of two impinging jets in crossflow [1]

Direct Numerical Simulation (DNS) of two impinging jets in crossflow [1]

Large Eddy Simulation of Agriculture nozzle [2]

Large Eddy Simulation of Agriculture nozzle [2]

DNS Autoignition of hydrogen/air diffusion 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:

Jeffrey Doom

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

 

Current Students:

Zachary chapman

Ph.D. Student: Zachary Chapman

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

 

Santu Golder

Santu Golder, M.S. (2018)

Thesis Title: Simulation of an ethylene flame with turbulence, soot and radiation modeling

 

Md Sahedul Islam

Md Sahedul Islam, M.S. (2018)

Thesis Title: Simulation of different rib shapes in square channel

 

Joseph Petersen

Joseph Petersen, M.S. (2018)

Thesis Title: Optimization of microfluidic particle separator geometry using computational fluid dynamics

 

Devansh Singh

Devansh Singh, M.S. (2018)

Thesis Title: Simulations of impinging jet with a range of configuration

 

Sai Rajkumar Valda

Sai Rajkumar Vadla, M.S. (2018)

Thesis Title: Simulation of gas dynamics cold spray process

 

Jennifer Chilelu

Jennifer Chilelu, M.S. (2018)

Thesis Title: Simulation of non-premixed ethylene-air crossflow jet flame

 

Contact information:

Department of Mechanical Engineering

Jerome J. Lohr College of Engineering

South Dakota State University

Box 2219

Crothers Engineering Hall 220

Brookings, SD 57007

Phone: 605-688-6703

Email: jeffrey.doom@sdstate.edu

 

References:

[1] J. Doom, Y. Hou, K. Mahesh, A numerical method for DNS/LES of turbulent reacting flows. J. Comput. Phys. 226 (2007) 1136-1151.

[2] OpenFOAM, https://openfoam.com. Accessed 27 Oct. 2020.

[3] Star-ccm+, https://mdx.plm.automation.siemens.com/star-ccm-plus. Accessed 27 Oct. 2020.

[4] PeleLM, https://amrex-combustion.github.io/PeleLM/. Accessed 27 Oct. 2020.