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A misfire-integrated Gaussian process (MInt-GP) emulator for energy-assisted compression ignition (EACI) engines with varying cetane number jet fuels

Publication ,  Journal Article
Narayanan, SR; Ji, Y; Sapra, HD; Kweon, CBM; Kim, KS; Sun, Z; Kokjohn, S; Mak, S; Yang, S
Published in: International Journal of Engine Research
July 1, 2024

For energy-assisted compression ignition (EACI) engine propulsion at high-altitude operating conditions using sustainable jet fuels with varying cetane numbers, it is essential to develop an efficient engine control system for robust and optimal operation. Control systems are typically trained using experimental data, which can be costly and time consuming to generate due to setup time of experiments, unforeseen delays/issues with manufacturing, mishaps/engine failures and the consequent repairs (which can take weeks), and errors in measurements. Computational fluid dynamics (CFD) simulations can overcome such burdens by complementing experiments with simulated data for control system training. Such simulations, however, can be computationally expensive. Existing data-driven machine learning (ML) models have shown promise for emulating the expensive CFD simulator, but encounter key limitations here due to the expensive nature of the training data and the range of differing combustion behaviors (e.g. misfires and partial/delayed ignition) observed at such broad operating conditions. We thus develop a novel physics-integrated emulator, called the Misfire-Integrated GP (MInt-GP), which integrates important auxiliary information on engine misfires within a Gaussian process surrogate model. With limited CFD training data, we show the MInt-GP model can yield reliable predictions of in-cylinder pressure evolution profiles and subsequent heat release profiles and engine CA50 predictions at a broad range of input conditions. We further demonstrate much better prediction capabilities of the MInt-GP at different combustion behaviors compared to existing data-driven ML models such as kriging and neural networks, while also observing up to 80 times computational speed-up over CFD, thus establishing its effectiveness as a tool to assist CFD for fast data generation in control system training.

Duke Scholars

Published In

International Journal of Engine Research

DOI

EISSN

2041-3149

ISSN

1468-0874

Publication Date

July 1, 2024

Volume

25

Issue

7

Start / End Page

1349 / 1380

Related Subject Headings

  • Energy
  • 4004 Chemical engineering
  • 4002 Automotive engineering
  • 0913 Mechanical Engineering
  • 0902 Automotive Engineering
 

Citation

APA
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Narayanan, S. R., Ji, Y., Sapra, H. D., Kweon, C. B. M., Kim, K. S., Sun, Z., … Yang, S. (2024). A misfire-integrated Gaussian process (MInt-GP) emulator for energy-assisted compression ignition (EACI) engines with varying cetane number jet fuels. International Journal of Engine Research, 25(7), 1349–1380. https://doi.org/10.1177/14680874241229514
Narayanan, S. R., Y. Ji, H. D. Sapra, C. B. M. Kweon, K. S. Kim, Z. Sun, S. Kokjohn, S. Mak, and S. Yang. “A misfire-integrated Gaussian process (MInt-GP) emulator for energy-assisted compression ignition (EACI) engines with varying cetane number jet fuels.” International Journal of Engine Research 25, no. 7 (July 1, 2024): 1349–80. https://doi.org/10.1177/14680874241229514.
Narayanan SR, Ji Y, Sapra HD, Kweon CBM, Kim KS, Sun Z, et al. A misfire-integrated Gaussian process (MInt-GP) emulator for energy-assisted compression ignition (EACI) engines with varying cetane number jet fuels. International Journal of Engine Research. 2024 Jul 1;25(7):1349–80.
Narayanan, S. R., et al. “A misfire-integrated Gaussian process (MInt-GP) emulator for energy-assisted compression ignition (EACI) engines with varying cetane number jet fuels.” International Journal of Engine Research, vol. 25, no. 7, July 2024, pp. 1349–80. Scopus, doi:10.1177/14680874241229514.
Narayanan SR, Ji Y, Sapra HD, Kweon CBM, Kim KS, Sun Z, Kokjohn S, Mak S, Yang S. A misfire-integrated Gaussian process (MInt-GP) emulator for energy-assisted compression ignition (EACI) engines with varying cetane number jet fuels. International Journal of Engine Research. 2024 Jul 1;25(7):1349–1380.
Journal cover image

Published In

International Journal of Engine Research

DOI

EISSN

2041-3149

ISSN

1468-0874

Publication Date

July 1, 2024

Volume

25

Issue

7

Start / End Page

1349 / 1380

Related Subject Headings

  • Energy
  • 4004 Chemical engineering
  • 4002 Automotive engineering
  • 0913 Mechanical Engineering
  • 0902 Automotive Engineering