Dergiler / International Journal of Automotive Engineering and Technologies / 2015 / Cilt: 4 - Sayı: 1

Estimating engine performance and emission values using anfis

Sayfa
63–67
Yayın Tarihi
2022-10-18
DOI
—
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

It is seen that the obtained ANFIS model can makesolid estimations about output emission and performance values of an internal combustionengine with different methanol mixtures.

📌 3 Maddede Bu Makale

🎯
Amaç & Hipotez:In this study, the effect of methanol mixtures in different proportions to emission andperformance of the motor has been estimated using Adaptive Neuro Fuzzy Inference System(ANFIS) model.
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Temel Bulgular & Veri:The estimatedperformance of the model has been obtained by comparison of the estimated results of theANFIS model and the experimental results.
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Sonuç & Katkı:It is seen that the obtained ANFIS model can makesolid estimations about output emission and performance values of an internal combustionengine with different methanol mixtures.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Alan Parametreleri

Abstract

In this study, the effect of methanol mixtures in different proportions to emission andperformance of the motor has been estimated using Adaptive Neuro Fuzzy Inference System(ANFIS) model. Traini ng data and test data have been obtained from the results of experimentson a single cylinder, four- stroke engine with direct- injection under different spraying pressures.An ANFIS model has been developed using these experimental data. The estimatedperformance of the model has been obtained by comparison of the estimated results of theANFIS model and the experimental results. It is seen that the obtained ANFIS model can makesolid estimations about output emission and performance values of an internal combustionengine with different methanol mixtures.

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Bu Makaleye Atıf Yap

ÖZKAN, İ. A., CINIVIZ, M., CANDAN, F. (2022). Estimating engine performance and emission values using anfis. International Journal of Automotive Engineering and Technologies, Cilt: 4 - Sayı: 1, 63–67. https://ajindex.com/articles/540394

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Kaynakça (6)

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