Experimental Analysis of Combustion Instability in Dual-Fuel Stationary Compression Ignition Engine Using Wavelet Transform

2022-01-0554

03/29/2022

Event
WCX SAE World Congress Experience
Authors Abstract
Content
In this study, the cycle-to-cycle variations (combustion instability) in gasoline/methanol-diesel dual-fuel stationary compression engine is experimentally examined. Cyclic variations in the combustion cycle are characterized under different load, gasoline/methanol-diesel premixing ratio (r_p) and diesel injection timing (SOI). To investigate the combustion instability in dual-fuel CI-engine, low reactivity fuel (LRF) i.e., gasoline and methanol is fed in the modified intake manifold during the suction stroke. The tests are performed at fixed engine speed of 1500 rpm for different fuel 'r_p' using developed port-fuel injector controller in the laboratory. The combustion instability is analyzed using statistical method and Wavelet Transform. Results indicates that combustion instability is more prone to lower and medium engine load and variations are significantly higher for high substitution fraction low reactivity fuel (LRF). These higher cyclic variations in the combustion parameters limit the range of fuel 'r_p'. The Wavelet Transform analysis shows that the peak power in GWS increases with an increase in the LRF substitution fraction, which indicates higher cyclic variations. When the engine operation is shifted from conventional diesel to dual-fuel mode, the peak power in GWS shifted from higher periodicity to lower periodicity, which depicts the frequency of cyclic combustion variations increases in dual-fuel engine. The cyclic variations in dual-fuel CI-engine is possibly due to the variations in start of combustion, which are susceptible to variations in fuel flow characteristics in stationary engine.
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Citation
Saxena, M., and Maurya, R., "Experimental Analysis of Combustion Instability in Dual-Fuel Stationary Compression Ignition Engine Using Wavelet Transform ," SAE Technical Paper 2022-01-0554, 2022, .
Additional Details
Publisher
Published
Mar 29, 2022
Product Code
2022-01-0554
Content Type
Technical Paper
Language
English