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<p>The present work tries to explore the combined impact of hydrogen enrichment and doping of magnesium oxide (MgO) nanoparticles on the performance and emission trends of a compression ignition (CI) engine run on Mahua oil biodiesel blends. Mahua oil was transesterified with diesel at an 80:20 ratio (B20) and after changed with 10 ppm MgO nanoparticles and different hydrogen flow rates (6, 8, and 10 LPM), labelled as B20 + MgO(10ppm) + Hydrogen6 (LPM)(BMH6), B20 + MgO(10ppm) + Hydrogen8(LPM) (BMH8), and B20 + MgO(10ppm) + Hydrogen 10(LPM) (BMH10), respectively. The blends were examined in a water-cooled, single-cylinder, four-stroke Kirloskar TV-1 DI diesel engine. Hydrogen was added to the intake air stream to achieve a 15% hydrogen-to-air volume ratio. The BMH10 fuel showed best performance, where there was an 8.4% improvement in brake thermal efficiency (BTE) and a 12% decrease in brake-specific fuel consumption (BSFC) under full-load conditions against pure diesel (D100). Emission analysis showed substantial decreases: carbon monoxide (CO) by 49%, unburned hydrocarbons (HC) by 46%, nitrogen oxides (NOx) by 6.8%, and smoke opacity by 41.5% at zero load. These gains are brought about by the catalytic combustion promoted by MgO catalytic activity and the fast flame speed of hydrogen. Machine learning algorithms (Gradient Boosting and Lasso) were also found to have exceptionally good prediction accuracy (R² &gt;0.98) for engine performance and emissions. This paper proposes a future dual-fuel strategy combining hydrogen with nanoadditives to boost the efficiency of diesel engines and reduce harmful emissions.</p>

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Impact of magnesium oxide nanoparticles and hydrogen enrichment on CI engine performance with Mahua oil biodiesel using machine learning

  • 期刊论文

  • 发表日期：

    2025年8月12日

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  • Durga Venkatesh Janaki,
  • P. S. Ranjit,
  • B. Balakrishna

摘要

The present work tries to explore the combined impact of hydrogen enrichment and doping of magnesium oxide (MgO) nanoparticles on the performance and emission trends of a compression ignition (CI) engine run on Mahua oil biodiesel blends. Mahua oil was transesterified with diesel at an 80:20 ratio (B20) and after changed with 10 ppm MgO nanoparticles and different hydrogen flow rates (6, 8, and 10 LPM), labelled as B20 + MgO(10ppm) + Hydrogen6 (LPM)(BMH6), B20 + MgO(10ppm) + Hydrogen8(LPM) (BMH8), and B20 + MgO(10ppm) + Hydrogen 10(LPM) (BMH10), respectively. The blends were examined in a water-cooled, single-cylinder, four-stroke Kirloskar TV-1 DI diesel engine. Hydrogen was added to the intake air stream to achieve a 15% hydrogen-to-air volume ratio. The BMH10 fuel showed best performance, where there was an 8.4% improvement in brake thermal efficiency (BTE) and a 12% decrease in brake-specific fuel consumption (BSFC) under full-load conditions against pure diesel (D100). Emission analysis showed substantial decreases: carbon monoxide (CO) by 49%, unburned hydrocarbons (HC) by 46%, nitrogen oxides (NOx) by 6.8%, and smoke opacity by 41.5% at zero load. These gains are brought about by the catalytic combustion promoted by MgO catalytic activity and the fast flame speed of hydrogen. Machine learning algorithms (Gradient Boosting and Lasso) were also found to have exceptionally good prediction accuracy (R² >0.98) for engine performance and emissions. This paper proposes a future dual-fuel strategy combining hydrogen with nanoadditives to boost the efficiency of diesel engines and reduce harmful emissions.