Skip to main content
Journal cover image

Development of a neural network model of an advanced, turbocharged diesel engine for use in vehicle-level optimization studies

Publication ,  Conference
Delagrammatikas, GJ; Assanis, DN
Published in: Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering
January 1, 2004

The following work documents the development of an artificial neural network (ANN) model of an advanced, turbocharged diesel engine, and its implementation within an overall vehicle simulation. The purpose of this research was to create a model that would help drastically reduce in-vehicle engine design cycle time, improve numerical robustness and maintain the predictive capability of its physically based counterpart. Ease of integration within an optimization framework for preliminary investigations of engine designs was also a significant need. A design of experiments (DOE) was first used to sample the engine's feasible design domain. The high-fidelity model calculated engine responses at these DOE designs; the DOE inputs and engine model responses were subsequently used to train a radial basis function ANN. A typical, vehicle-level optimization study is presented which compares results and time requirements of the ANN and high-fidelity models. Critical issues in the development of an ANN engine model are detailed and generic guidelines are presented to expedite the implementation of this surrogate modelling technique to other complex subsystems and components.

Duke Scholars

Published In

Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering

DOI

ISSN

0954-4070

Publication Date

January 1, 2004

Volume

218

Issue

5

Start / End Page

521 / 533

Related Subject Headings

  • 4002 Automotive engineering
  • 0913 Mechanical Engineering
  • 0902 Automotive Engineering
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Delagrammatikas, G. J., & Assanis, D. N. (2004). Development of a neural network model of an advanced, turbocharged diesel engine for use in vehicle-level optimization studies. In Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering (Vol. 218, pp. 521–533). https://doi.org/10.1243/095440704774061174
Delagrammatikas, G. J., and D. N. Assanis. “Development of a neural network model of an advanced, turbocharged diesel engine for use in vehicle-level optimization studies.” In Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 218:521–33, 2004. https://doi.org/10.1243/095440704774061174.
Delagrammatikas GJ, Assanis DN. Development of a neural network model of an advanced, turbocharged diesel engine for use in vehicle-level optimization studies. In: Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering. 2004. p. 521–33.
Delagrammatikas, G. J., and D. N. Assanis. “Development of a neural network model of an advanced, turbocharged diesel engine for use in vehicle-level optimization studies.” Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, vol. 218, no. 5, 2004, pp. 521–33. Scopus, doi:10.1243/095440704774061174.
Delagrammatikas GJ, Assanis DN. Development of a neural network model of an advanced, turbocharged diesel engine for use in vehicle-level optimization studies. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering. 2004. p. 521–533.
Journal cover image

Published In

Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering

DOI

ISSN

0954-4070

Publication Date

January 1, 2004

Volume

218

Issue

5

Start / End Page

521 / 533

Related Subject Headings

  • 4002 Automotive engineering
  • 0913 Mechanical Engineering
  • 0902 Automotive Engineering