Abstract
The presented work investigates the impacts of various liquid fuels and alcohols including methanol, ethanol, toluene, hexane, benzene, isooctane and gasoline on a spark ignition (SI) engine's performance and combustion products. A verified mathematical model with empirical data has been utilised to indicate the various fuel type impacts on the emission outputs and combustion specifications of a SI engine. An artificial neural network (ANN) model for the system is also presented to show that the system can be approximated more densely compared to numeric methods with the advantage of less computational complexity.
Keywords
Gasoline
Spark-ignition engine
Combustion
Ignition system
SPARK (programming language)
Benzene
Toluene
Methanol
Environmental science
Liquid fuel
Homogeneous charge compression ignition
Pollutant
Work (physics)
Process engineering
Automotive engineering
Computer science
Waste management
Chemistry
Engineering
Combustion chamber
Organic chemistry
Mechanical engineering
Aerospace engineering
Subject Areas
Vehicle emissions and performance
·Automotive Engineering ·Physical Sciences
Advanced Combustion Engine Technologies
·Fluid Flow and Transfer Processes ·Physical Sciences
Water Quality Monitoring and Analysis
·Industrial and Manufacturing Engineering ·Physical Sciences
Citations by Year
2022: 2
2023: 3
OpenAlex SDG Match
SDGs auto-classified by OpenAlex (score ≥ 0.4 shown).
Affordable and clean energy 74%
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