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
作者： Sumit Roy , Ashmita Ghosh , Ajoy Kumar Das , Rahul Banerjee
DOI: 10.1016/J.APENERGY.2014.11.065
关键词:
摘要: Abstract Gene Expression Programming was employed to express the relationship between inputs and outputs of a single cylinder four-stroke CRDI engine coupled with EGR. The performance emission parameters (BSFC, BTE, CO2, NOx PM) have been modelled by where load, fuel injection pressure, EGR injected per cycle were chosen as input parameters. From results it found that GEP can consistently emulate actual characteristics proficiently even under different modes operation significant accuracy. Moreover, obtained also compared an ANN model, developed on same parametric ranges. comparison showed model outperforms in predicting desired response variables.
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