International Journal of Scientific and Research Publications

IJSRP, Volume 12, Issue 3, March 2022 Edition [ISSN 2250-3153]


THE PERFORMANCE OF ARTIFICIAL NEURAL NETWORK IN PREDICTING OPTIMAL OPERATING CONDITIONS OF A CNG-FUELED HCCI ENGINE
      Paitoon Kongsereeparp
Abstract: It is widely accepted that the Homogeneous Charge Combustion Ignition (HCCI) can enhance engines’ efficiency. However, finding optimal operating conditions to yield optimal engines’ ignition timing is still an on-going issue and difficult to achieve. This is because combustion in HCCI engines is automatically occurred from chemical kinetics of the fuel-air mixtures and therefore altering one parameter (out of many parameters) could change the engines’ ignition timing, leading to highly nonlinear behavior of the HCCI engines.

Reference this Research Paper (copy & paste below code):

Paitoon Kongsereeparp (2022); THE PERFORMANCE OF ARTIFICIAL NEURAL NETWORK IN PREDICTING OPTIMAL OPERATING CONDITIONS OF A CNG-FUELED HCCI ENGINE; International Journal of Scientific and Research Publications (IJSRP) 12(3) (ISSN: 2250-3153), DOI: http://dx.doi.org/10.29322/IJSRP.12.03.2022.p12344
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