Advances in Computational Design

Techno-Press (테크노프레스)
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Development of intelligent model to predict the characteristics of biodiesel operated CI engine with hydrogen injection

  • Karrthik, R.S. (Department of Mechatronics, Bannari Amman Institute of Technology) ;
  • Baskaran, S. (Department of Mechatronics, Bannari Amman Institute of Technology) ;
  • Raghunath, M. (Department of Mechatronics, Bannari Amman Institute of Technology)
  • Received : 2018.07.18
  • Accepted : 2019.05.17
  • Published : 2019.10.25
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Abstract

Multiple Inputs and Multiple Outputs (MIMO) Fuzzy logic model is developed to predict the engine performance and emission characteristics of pongamia pinnata biodiesel with hydrogen injection. Engine performance and emission characteristics such as brake thermal efficiency (BTE), brake specific energy consumption (BSEC), hydrocarbon (HC), carbon monoxide (CO), carbon dioxide ($CO_2$) and nitrous oxides ($NO_X$) were considered. Experimental investigations were carried out by using four stroke single cylinder constant speed compression ignition engine with the rated power of 5.2 kW at variable load conditions. The performance and emission characteristics are measured using an Exhaust gas analyzer, smoke meter, piezoelectric pressure transducer and crank angle encoder for different fuel blends (Diesel, B10, B20 and B30) and engine load conditions. Fuzzy logic model uses triangular and trapezoidal membership function because of its higher predictive accuracy to predict the engine performance and emission characteristics. Computational results clearly demonstrate that, the proposed fuzzy model has produced fewer deviations and has exhibited higher predictive accuracy with acceptable determination correlation coefficients of 0.99136 to 1 with experimental values. The developed fuzzy logic model has produced good correlation between the fuzzy predicted and experimental values. So it is found to be useful for predicting the engine performance and emission characteristics with limited number of available data.

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References

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