Determination of optimal combustion conditions in a diesel engine operating on ethanol/diesel mixtures


ÖZSEZEN A. N., VARGÜN M., KAYA B., TÜRKCAN A.

Journal of the Energy Institute, cilt.107, 2023 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 107
  • Basım Tarihi: 2023
  • Doi Numarası: 10.1016/j.joei.2023.101195
  • Dergi Adı: Journal of the Energy Institute
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Aerospace Database, Applied Science & Technology Source, Communication Abstracts, Compendex, Computer & Applied Sciences, Environment Index, INSPEC, Metadex, Pollution Abstracts, Civil Engineering Abstracts
  • Anahtar Kelimeler: Alcohol fuels, Boost pressure, Cycle duration, Diesel engine, Taguchi design, ANOVA
  • Erciyes Üniversitesi Adresli: Evet

Özet

© 2023 Energy InstituteThis study aims to determine the optimum ethanol/diesel mixture ratio, boost pressure, and cycle duration for providing the maximum engine performance and the minimum exhaust emission levels in a diesel engine. The statistical analyses were performed using the L32 orthogonal array of the Taguchi. According to the calculated S/N ratios, it was revealed that there was almost a linear relationship between an increase in boost pressure and the selected engine output values. Similarly, a direct relationship was observed between the increasing alcohol content of the blend and the emissions of CO, CH4 and NOx. The analysis of variance (ANOVA) technique was utilized to investigate the contribution of the levels of control parameters on experimental variables. In all ANOVA analyses, R2 was 90% and above for all variables, while the goodness of fit was calculated to be at the lowest level in NH3 emission. According to ANOVA analysis results, it was seen that the boost pressure has a substantial impact on CO2 emission formation. The cycle duration has a dominant effect on cylinder gas pressure, thermal efficiency, fuel consumption and NOx emission. In contrast, the blend ratio considerably affects combustion noise, CO, CH4, and NH3 emissions. Mainly, improvements were observed in exhaust emission levels, excluding ammonia emissions, with the increase of boost pressure and blend type.