Research on the effects of negative valve overlap duration on the combustion and emission of methanol, ethanol, isopropanol, and n-butanol in a spark induced compression ignition (SICI) engine by experiments and Artificial Neural Networks

In order to achieve the carbon neutrality goal, it is urgent to improve the thermal efficiency of engines and the application of carbon neutral fuels. Due to the low emissions and renewability of alcohols, which are considered as potential alternative fuels. Spark induced compression ignition (SICI) is an efficient and clean combustion mode for future engines. This article studied the differences of methanol, ethanol, isopropanol, and n-butanol in the SICI combustion modes under four different negative valve overlap (NVO). It was found that under low load, methanol exhibited higher indicated thermal efficiency (ITE) and the lowest HC emissions, while n-butanol exhibited lower NOx and CO emissions. After the load increased, the ITE of n-butanol, isopropanol, methanol, and ethanol all increased with the prolongation of NVO, increasing by 0.35 %, 0.95 %, 0.9 %, and 1.42 %, respectively. In addition, an artificial neural network SICI engines model was established, with correlation coefficients above 0.95. It was found that a correlation between fuel characteristics, auto-ignition timing and flame development. The correlation weight was 20.68 % and 48.1 %, respectively. For ITE, within the optimal ignition timing adjustment range, the contribution of latent heat of vaporization and auto-ignition temperature of alcohol was 42.5 % and 46.5 %, while NVO was 6.63 %. • Achieving SICI combustion based on self-developed variable valve mechanism. • The effect of dilution strategies on IBE blends in SICI combustion mode is studied. • N-butanol has the highest degree of knocking, while IBE631 has the lowest degree of knocking. • The fresh air coupled with internal EGR is most beneficial for improving the ITE of IBE blends. • The combination of external EGR and internal EGR significantly reduce the NOx emissions of IBE blends.

Authors

Institutions

Publication Details

Journal
Fuel Processing Technology
Published
2025-02-16
DOI
https://doi.org/10.1016/j.fuproc.2025.108190
Citations
3
Primary Topic
Advanced Combustion Engine Technologies
Type
article
Field-Weighted Citation Impact
2.16
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research on the effects of negative valve overlap duration on the combustion and emission of methanol, ethanol, isopropanol, and n-butanol in a spark induced compression ignition (SICI) engine by experiments and Artificial Neural Networks

Fangxi Xie, Linghai Han, You Zhou, Xianglong Meng et al.
3 citations
Fuel Processing Technology
Advanced Combustion Engine Technologies
2.16
article

Research on the effects of negative valve overlap duration on the combustion and emission of methanol, ethanol, isopropanol, and n-butanol in a spark induced compression ignition (SICI) engine by experiments and Artificial Neural Networks

Fangxi Xie, Linghai Han, You Zhou, Xianglong Meng, Yu Liu, Cheng Zhang, Xiao‐Na Li, Huili Dou, Yanfeng Gong
article en
3 citations

Abstract

In order to achieve the carbon neutrality goal, it is urgent to improve the thermal efficiency of engines and the application of carbon neutral fuels. Due to the low emissions and renewability of alcohols, which are considered as potential alternative fuels. Spark induced compression ignition (SICI) is an efficient and clean combustion mode for future engines. This article studied the differences of methanol, ethanol, isopropanol, and n-butanol in the SICI combustion modes under four different negative valve overlap (NVO). It was found that under low load, methanol exhibited higher indicated thermal efficiency (ITE) and the lowest HC emissions, while n-butanol exhibited lower NOx and CO emissions. After the load increased, the ITE of n-butanol, isopropanol, methanol, and ethanol all increased with the prolongation of NVO, increasing by 0.35 %, 0.95 %, 0.9 %, and 1.42 %, respectively. In addition, an artificial neural network SICI engines model was established, with correlation coefficients above 0.95. It was found that a correlation between fuel characteristics, auto-ignition timing and flame development. The correlation weight was 20.68 % and 48.1 %, respectively. For ITE, within the optimal ignition timing adjustment range, the contribution of latent heat of vaporization and auto-ignition temperature of alcohol was 42.5 % and 46.5 %, while NVO was 6.63 %. • Achieving SICI combustion based on self-developed variable valve mechanism. • The effect of dilution strategies on IBE blends in SICI combustion mode is studied. • N-butanol has the highest degree of knocking, while IBE631 has the lowest degree of knocking. • The fresh air coupled with internal EGR is most beneficial for improving the ITE of IBE blends. • The combination of external EGR and internal EGR significantly reduce the NOx emissions of IBE blends.

Fuel Processing TechnologyVol. 269
Jilin University (CN), Henan University of Technology (CN), First Automotive Works (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 15%
Advanced Combustion Engine Technologies
2.16
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.