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Modeling the performance and emission characteristics of diesel engine and petrol-driven engine by ANN

Published: 18 June 2009 Publication History

Abstract

In this study, performance and emission characteristics of an internal combustion (IC) diesel engine and petrol-driven engine were modeled by Artificial Neural Network (ANN). Diesel engine input parameters are air flow rate (Aflr), boost pressure (Pb), fuel rate (Frt), cycle (Cy) and load (L) whereas input parameters of the petrol-driven engine are advance (A) and cycle (Cy). Engine torque (Tq), power (P), specific fuel consumption (Sfc), emission values such as HC, CO2 and NOx of diesel engine and engine torque (Tq), power (P), specific fuel consumption (Sfc) and HC of petrol-driven have been investigated. R square values of Tq, P, Sfc, HC, CO2 and NOx of diesel engine were %99.9, %99.45, %99.32, %99.84, %99.71 and %99.26 respectively when ANN was used for modeling. R square values of Tq, P, Sfc and Hc of petrol-driven engine %97.24, %99.56, %98.19 and %97.19 respectively. The back-propagation learning algorithm with Hyperbolic tangent activation functions (for hidden layer neurons and output neuron) and 5:12:1 combination have been used in the topology of the network of diesel engine. The back-propagation learning algorithm with Logistic-Hyperbolic tangent activation functions (hidden layer neurons and output neuron) and 2:6:1 combination have been used in the topology of the network of petrol-driven engine. After having statistical t-test for outputs of both ANN, it has been seen that the obtained results are approximately %99.5 and %98.5 consisted (matched) with experimental data of diesel and petrol-driven engine. Main contribution of this work includes; 1) Dynamic load value was used as input parameters for diesel engine and so engine performance modeling and emission characteristic determination were done by regarding changing load, 2) The highest prediction values of output parameters are reached for both engine type regarding to the previous studies and 3) None of the previous studies include modeling of diesel and petrol-driven engine.

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  • (2019)Artificial Neural Networks Methodologies to Optimize Engine Performance Parameters Using MATLABAdvances in Interdisciplinary Engineering10.1007/978-981-13-6577-5_2(15-26)Online publication date: 1-Jun-2019
  • (2013)Effect of ethanol–gasoline blend on NOx emission in SI engineRenewable and Sustainable Energy Reviews10.1016/j.rser.2013.03.04624(209-222)Online publication date: Aug-2013
  • (2010)Performance and emission optimization of diesel engine by single and multi-objective genetic algorithmsProceedings of the 11th International Conference on Computer Systems and Technologies and Workshop for PhD Students in Computing on International Conference on Computer Systems and Technologies10.1145/1839379.1839415(197-204)Online publication date: 17-Jun-2010
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      cover image ACM Other conferences
      CompSysTech '09: Proceedings of the International Conference on Computer Systems and Technologies and Workshop for PhD Students in Computing
      June 2009
      653 pages
      ISBN:9781605589862
      DOI:10.1145/1731740
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Published: 18 June 2009

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      Author Tags

      1. ANN
      2. IC diesel engine
      3. engine performance and emission
      4. modeling
      5. petrol-driven engine

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      View all
      • (2019)Artificial Neural Networks Methodologies to Optimize Engine Performance Parameters Using MATLABAdvances in Interdisciplinary Engineering10.1007/978-981-13-6577-5_2(15-26)Online publication date: 1-Jun-2019
      • (2013)Effect of ethanol–gasoline blend on NOx emission in SI engineRenewable and Sustainable Energy Reviews10.1016/j.rser.2013.03.04624(209-222)Online publication date: Aug-2013
      • (2010)Performance and emission optimization of diesel engine by single and multi-objective genetic algorithmsProceedings of the 11th International Conference on Computer Systems and Technologies and Workshop for PhD Students in Computing on International Conference on Computer Systems and Technologies10.1145/1839379.1839415(197-204)Online publication date: 17-Jun-2010
      • (2010)Comparision of numerical technique and artificiall intelligence techniques for performance modelling of a diesel engineProceedings of the 11th International Conference on Computer Systems and Technologies and Workshop for PhD Students in Computing on International Conference on Computer Systems and Technologies10.1145/1839379.1839414(191-196)Online publication date: 17-Jun-2010

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