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Prediction of Fuel Maps in Variable Valve Timing Spark Ignited Gasoline Engines Using Kriging Metamodels

Journal Article
2020-01-0744
ISSN: 2641-9645, e-ISSN: 2641-9645
Published April 14, 2020 by SAE International in United States
Prediction of Fuel Maps in Variable Valve Timing Spark Ignited Gasoline Engines Using Kriging Metamodels
Sector:
Citation: Tafreshi, A. and Mourelatos, Z., "Prediction of Fuel Maps in Variable Valve Timing Spark Ignited Gasoline Engines Using Kriging Metamodels," SAE Int. J. Adv. & Curr. Prac. in Mobility 2(4):1999-2010, 2020, https://doi.org/10.4271/2020-01-0744.
Language: English

References

  1. Jacobs , T. , Assanis , D. , and Filipi , Z. The Impact of Exhaust Gas Recirculation on Performance and Emissions of a Heavy-Duty Diesel Engine SAE Technical Paper 2003-01-1068 2003 https://doi.org/10.4271/2003-01-1068
  2. Schubiger , R. , Bertola , A. , and Boulouchos , K. Influence of EGR on Combustion and Exhaust Emissions of Heavy Duty DI-Diesel Engines Equipped with Common-Rail Injection Systems SAE Technical Paper 2001-01-3497 2001 https://doi.org/10.4271/2001-01-3497
  3. Gray , C. A Review of Variable Engine Valve Timing SAE Technical Paper 880386 1988 https://doi.org/10.4271/880386
  4. Bohac , S. and Assanis , D. Effect of Exhaust Valve Timing on Gasoline Engine Performance and Hydrocarbon Emissions SAE Technical Paper 2004-01-3058 2004 https://doi.org/10.4271/2004-01-3058
  5. Lenz , U. and Schroeder , D. Transient Air-Fuel Ratio Control Using Artificial Intelligence SAE Technical Paper 970618 1997 https://doi.org/10.4271/970618
  6. Fu , H. , Chen , X. , Mustafa , E. , Trigui , N. et al. Analytical Investigation of Cam Strategies for SI Engine Part Load Operation SAE Technical Paper 2004-01-0997 2004 https://doi.org/10.4271/2004-01-0997
  7. Wu , B. , Filipi , Z. , Assanis , D. , Kramer , D. et al. Using Artificial Neural Networks for Representing the Air Flow Rate through a 2.4 Liter VVT Engine SAE Technical Paper 2004-01-3054 2004 https://doi.org/10.4271/2004-01-3054
  8. Fang , K.-T. and Ma , C. Centered L 2 -Discrepancy of Random Sampling and Latin Hypercube Design, and Construction of Uniform Designs Mathematics of Computation 71 237 1999
  9. McKay , M.D. , Beckman , R.J. , and Conover , W.J. A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code Technometrics 21 2 239 245 1979
  10. Owen , A.B. Orthogonal Arrays for Computer Experiments, Integration and Visualization Statistica Sinica 2 2 439 452 1992
  11. Johnson , M.E. , Moore , L.M. , and Ylvisaker , D. Minimax and Maximin Distance Designs Journal of Statistical Planning and Inference 26 2 131 148 1990
  12. Kennard , R.W. and Stone , L.A. Computer Aided Design of Experiments Technometrics 11 1 137 148 1969
  13. Gutmann , H.-M. A Radial Basis Function Method for Global Optimization Journal of Global Optimization 19 3 201 227 2001
  14. Booker , A. Using Metamodels for Engineering Design INFORMS Seattle Fall 1998 Meeting Seattle, WA Oct. 25-28, 1998
  15. Panagiotopoulos , D. , Iqbal , O. , Mourelatos , Z.P. , and Papadimitriou , D. Optimal Water Jacket Flow Distribution Using a New Group-Based Space-Filling Design of Experiments Algorithm SAE Technical Paper 2018-01-1017 2018 https://doi.org/10.4271/2018-01-1017
  16. Li , Q. , Yang , D. , Hu , L. , and Sheng , X. Optimization of Turbocharger Compressor Stages using DOE for Vehicle Engine Application SAE Technical Paper 2014-01-0406 2014 https://doi.org/10.4271/2014-01-0406
  17. Heywood , J. Internal Combustion Engine Fundamentals (McGraw-Hill 1988
  18. Krige , D.G. 1951
  19. Sacks , J. , Welch , W.J. , Mitchell , T.J. , and Wynn , H.P. Design and Analysis of Computer Experiments Statistical Science 4 4 409 435 1989
  20. Simpson , T.W. , Mauery , T.M. , Korte , J.J. , and Mistree , F. Kriging Metamodels for Global Approximation in Simulation-Based Multidisciplinary Design Optimization AIAA Journal 39 12 2233 2241 2001
  21. Fang , K.-T. , Li , R. , and Sudjianto , A. Design and Modeling for Computer Experiments Chapman & Hall/CRC 2005
  22. Acar , E. Effects of the Correlation Model, the Trend Model, and the Number of Training Points on the Accuracy of Kriging Metamodels Expert Systems 30 5 418 428 2013
  23. Lophaven , S.N. , Nielsen , H.B. , and Søndergaard , J. 2002

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