Diesel Engine Injection Rate-Shape Optimization Using Genetic Algorithms and Multidimensional Modeling

Abstract

A computational optimization study was performed for a heavy-duty direct-injection diesel engine using the recently developed KIVA-GA computer code. The effects of 11 engine input parameters on emissions and performance were studied. Start of injection (SOI), amount of EGR, boost pressure and eight parameters defining the fuel injection rate-shape were included in the search. The optimized configuration results in very low soot and NO(x) emissions together with relatively low fuel consumption.

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Document Details

Document Type
Technical Report
Publication Date
Jun 19, 2001
Accession Number
ADP012096

Entities

People

  • D. E. Foster
  • J. B. Ghandhi
  • J. M. Moskwa
  • P. V. Farrell
  • R. D. Reitz

Organizations

  • University of Wisconsin–Madison

Tags

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Combustion
  • Combustion Chambers
  • Diesel Engines
  • Emission
  • Engines
  • Experimental Data
  • Fuel Consumption
  • Fuel Injection
  • Fuels
  • Genetic Algorithms
  • Heavy Duty
  • High Pressure
  • Military Research
  • Optimization
  • Scientific Research

Readers

  • Computational Modeling and Simulation
  • Internal Combustion Engine (ICE) Technology.
  • Operations Research

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms
  • Biotechnology