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,
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author = "Sumit Roy and Ashmita Ghosh and Ajoy Kumar Das and
Rahul Banerjee",
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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}",
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journal = "Applied Energy",
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volume = "140",
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pages = "52--64",
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year = "2015",
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keywords = "genetic algorithms, genetic programming, Gene
Expression Programming, Artificial Neural Network,
CRDI, EGR, Engine performance, Exhaust emissions",
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ISSN = "0306-2619",
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DOI = "doi:10.1016/j.apenergy.2014.11.065",
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URL = "http://www.sciencedirect.com/science/article/pii/S0306261914012343",
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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