Comparative analysis of various modelling techniques for emission  prediction of diesel engine fueled by diesel fuel with nanoparticle  additives

Erdi Tosun; Tayfun Ozgur; Ceyla Ozgur; Mustafa Ozcanli; Hasan Serin; Kadir Aydin

doi:https://doi.org/10.26701/ems.320490

Article Details

Comparative analysis of various modelling techniques for emission prediction of diesel engine fueled by diesel fuel with nanoparticle additives

Authors:

Erdi Tosun | Tayfun Ozgur | Ceyla Ozgur | Mustafa Ozcanli | Hasan Serin | Kadir Aydin

Publisher:

Ahmet ÇALIK

Main Topics:

Other branches of engineering

Journal:

European Mechanical Science 2017 Vol.1 Issue 1, pp.15-23

Document Type:

Article

Publication Date:

3/2017

Document Language:

English

Document ID (Org No.):

2000426073

eISSN:

2587-1110

DOI:

https://doi.org/10.26701/ems.320490

Abstract:

 


In this study, emissions of compression ignition engine fueled by diesel fuel with nanoparticle additives  was  modeled  by  regression  analysis,  artificial  neural  network  (ANN)  and  adaptive neuro  fuzzy  inference  system  (ANFIS)  methods.  Cetane  number  (CN)  and  engine  speed (rpm) were selected as input parameters for estimation of carbon monoxide (CO), oxides of nitrogen (NOx), and carbon dioxide (CO2) emissions. The results of estimation techniques were compared with each other and they showed that regression analysis was not accurate enough for prediction. On the other hand, ANN and ANFIS modelling techniques gave more accurate results with respect to regression analysis; linear and non-linear. Especially ANFIS models can be suggested as estimation method with minimum error compared to experimental results. 

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Article Details

Comparative analysis of various modelling techniques for emission prediction of diesel engine fueled by diesel fuel with nanoparticle additives

Authors: Erdi Tosun | Tayfun Ozgur | Ceyla Ozgur | Mustafa Ozcanli | Hasan Serin | Kadir Aydin

Publisher: Ahmet ÇALIK

Main Topics: Other branches of engineering

Journal: European Mechanical Science 2017 Vol.1 Issue 1, pp.15-23

Document Type: Article

Publication Date: 3/2017

Document Language: English

Document ID (Org No.): 2000426073

eISSN: 2587-1110

DOI: https://doi.org/10.26701/ems.320490

Issues

Authors:

Erdi Tosun | Tayfun Ozgur | Ceyla Ozgur | Mustafa Ozcanli | Hasan Serin | Kadir Aydin

Publisher:

Ahmet ÇALIK

Main Topics:

Other branches of engineering

Journal:

European Mechanical Science 2017 Vol.1 Issue 1, pp.15-23

Document Type:

Article

Publication Date:

3/2017

Document Language:

English

Document ID (Org No.):

2000426073

eISSN:

2587-1110

DOI:

https://doi.org/10.26701/ems.320490