A Stochastic Mixing Model for Predicting Emissions in a Direct Injection Diesel Engine.

Abstract

A Two-Step Approach for calculating slow and complex chemistry in inhomogeneous turbulent reactive flows, specifically in a direct injection diesel engine, was developed and evaluated. The first step in this approach is to complete a Multi-Dimensional Model (MDM) solution of the reactive flow. This was accomplished for a direct-injection diesel using the KIVA computer code developed at the Los Alamos National Laboratory. The output of this solution is used to define zones within the flow, and to calculate zone processes and mass flow between zones. A Stochastic Mixing Model (SMM) computer code was developed to recalculate turbulent mixing and chemistry using the MDM information. The SMM generates distributions of turbulent properties within each zone which are necessary to calculate slow emissions chemistry. The submodels included in the SMM are not intended to be unique, but only to represent one example of how this approach might be applied.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1986
Accession Number
ADA175155

Entities

People

  • Alan J. Brown

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Weapons Technologies

DTIC Thesaurus Topics

  • Boundary Layer
  • Burning Rate
  • Chemical Reaction Properties
  • Chemical Reactions
  • Chemistry
  • Combustion
  • Computational Fluid Dynamics
  • Computer Programs
  • Energy Transfer
  • Fluid Dynamics
  • Fluid Flow
  • Heat Transfer
  • Ignition Lag
  • Injectors
  • Nitrogen Oxides
  • Three Dimensional
  • Turbulent Mixing

Readers

  • Computational Fluid Dynamics (CFD)
  • Fluid Mechanics and Fluid Dynamics.
  • Petroleum Engineering