Development and validation of a GEP model to predict the performance and exhaust emission parameters of a CRDI assisted single cylinder diesel engine coupled with EGR

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@Article{Roy:2015:AE,
  author =       "Sumit Roy and Ashmita Ghosh and Ajoy Kumar Das and 
                 Rahul Banerjee",
  title =        "Development and validation of a {GEP} model to predict
                 the performance and exhaust emission parameters of a
                 {CRDI} assisted single cylinder diesel engine coupled
                 with {EGR}",
  journal =      "Applied Energy",
  volume =       "140",
  pages =        "52--64",
  year =         "2015",
  keywords =     "genetic algorithms, genetic programming, Gene
                 Expression Programming, Artificial Neural Network,
                 CRDI, EGR, Engine performance, Exhaust emissions",
  ISSN =         "0306-2619",
  DOI =          "doi:10.1016/j.apenergy.2014.11.065",
  URL =          "http://www.sciencedirect.com/science/article/pii/S0306261914012343",
  abstract =     "Gene Expression Programming was employed to express
                 the relationship between the inputs and the outputs of
                 a single cylinder four-stroke CRDI engine coupled with
                 EGR. The performance and emission parameters (BSFC,
                 BTE, CO2, NOx and PM) have been modelled by Gene
                 Expression Programming where load, fuel injection
                 pressure, EGR and fuel injected per cycle were chosen
                 as input parameters. From the results it was found that
                 the GEP can consistently emulate actual engine
                 performance and emission characteristics proficiently
                 even under different modes of CRDI operation with EGR
                 with significant accuracy. Moreover, the GEP obtained
                 results were also compared with an ANN model, developed
                 on the same parametric ranges. The comparison of the
                 obtained results showed that the GEP model outperforms
                 the ANN model in predicting the desired response
                 variables.",
}

Genetic Programming entries for Sumit Roy Ashmita Ghosh Ajoy Kumar Das Shri Rahul Banerjee

Citations