Fundamentals of Soot Formation in Gas Turbine Combustors

Abstract

In this three year effort particle extraction methods were evaluated for collecting scoot particulates from sooting flames and significant enhancements to the models for physics of soot formation were developed. Through comparisons to the URTC data as well as data obtained separately at Yale University, the models provided a reasonable simulation of physical phenomena related to soot production in flames. Four different techniques for characterizing soot were evaluated and compared including IPD, TEM. laser extinction and electrical mobility. Evaluation of the last method led to an extension to quantitative measurements of soot emissions from military combustors. Advancements to the soot model include new PAH growth models, a revised particle inception model and more realistic treatment of soot particle physics. The detailed soot model aided development of a simplified code shown to be useful in modeling soot emissions in gas turbine combustors. This final report very briefly reviews the accomplishments of this program and includes some recent work performed in the last quarter on evaluating the effects of self-absorption on the temperature along the centerline of a coflow flame.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Feb 14, 2001
Accession Number
ADA387482

Entities

People

  • David Liscinsky
  • Meredith B. Colket
  • Mitchell D. Smooke
  • Robert J. Hall

Organizations

  • United Technologies Corporation

Tags

Communities of Interest

  • Energy and Power Technologies
  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Chemical Reactions
  • Chemical Synthesis
  • Chemistry
  • Combustion
  • Combustors
  • Energy Systems
  • Engines
  • Fuel Additives
  • Gas Turbines
  • Measurement
  • Organic Chemistry
  • Particle Size
  • Radiation
  • Steady State
  • Transitions
  • Turbines

Fields of Study

  • Physics

Readers

  • Combustion science or combustion engineering.
  • Computational Modeling and Simulation
  • Internal Combustion Engine (ICE) Technology.

Technology Areas

  • Directed Energy