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Diesel Engine Aftertreatment System Development Using MATLAB and GT-SUITE

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Seth DeLand, MathWorks

View this webinar as MathWorks and Gamma Technologies engineers demonstrate how to calibrate a modern aftertreatment model to experimental data using MATLAB and GT-SUITE.  A global optimization algorithm is used to identify the kinetic chemical reaction parameters of an ammonia oxidation catalyst model.  Once calibrated, the catalyst component model is included into a complete aftertreatment system model, which includes an engine model in GT-SUITE and an engine control model in Simulink. System-level optimization is then run to view trade-offs of performance and cost.

You will learn to:

  • Calibrate a modern aftertreatment model to experimental data
  • Integrate aftertreatment model into an engine system simulation
  • Trade-off performance and cost using system simulation
  • Integrate engine controls using Simulink.

About the Presenters:
Seth DeLand is product marketing manager for the MATLAB optimization products. Prior to joining MathWorks, Seth earned his BS and MS in mechanical engineering from Michigan Technological University. His thesis was on the development and parameter identification of an SCR catalyst model.

Ryan Dudgeon is a product and applications engineer at Gamma Technologies. He mainly focuses on aftertreatment projects, but also supports modeling and simulation of engine performance applications and oversees GT-SUITE's optimization tools. Ryan earned his BS and MS in mechanical engineering from the University of Iowa, where he wrote his thesis on biomass gasification.

Product Focus

  • Optimization Toolbox
  • Global Optimization Toolbox
  • Parallel Computing Toolbox

Recorded: 17 Jun 2014