Accession Number:

ADA175155

Title:

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

Descriptive Note:

Doctoral thesis,

Corporate Author:

MASSACHUSETTS INST OF TECH CAMBRIDGE DEPT OF OCEAN ENGINEERING

Personal Author(s):

Report Date:

1986-09-01

Pagination or Media Count:

296.0

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.

Subject Categories:

  • Fuels

Distribution Statement:

APPROVED FOR PUBLIC RELEASE