Numerical Study of the Effects of Lambda and Injection Timing on RCCI Combustion Mode

Year 2022, , 120 - 126, 30.06.2022

Serdar Halis , Hamit Solmaz , Seyfi Polat , H. Serdar Yücesu

https://doi.org/10.30939/ijastech..1105470

Cited By: 7

Abstract

Reactivity Controlled Compression Ignition (RCCI), which is a low temperature combustion mode based on the principle of working with dual fuel, has attracted the attention of researchers in recent years due to its advantages such as high thermal efficiency, low NOx and soot emissions, and controllability of combustion. In this study, the effects of injection timing and lambda on RCCI combustion mode were investigated numerically by validating the experimental data with Converge CFD software. A four-cylinder, four-stroke gasoline direct-injection engine with a compression ratio of 9.2 was used in RCCI combustion mode at an engine speed of 1000 rpm. The maximum cylinder pressure also increased and RCCI combustion was advanced while the injection timing was advanced. The highest peak pressure was obtained at SOI=-50°CA aTDC, and the lowest peak pressure was obtained at SOI=-25°CA aTDC. Similarly, the highest peak HRR value was acquired as 213 J/°CA at SOI=-50°CA aTDC. It has been observed that as the lambda decreases, the maximum cylinder pressure increases, and combustion advances. In addition, the heat release rises with a decrease in lambda value. The maximum heat release rate was acquired as 77.91 J/°CA at λ=1.2. The results show that injection timing and lambda have a great influence on RCCI combustion mode and the combustion phase can be controlled with these parameters.

Keywords

Combustion, Computational fluid dynamics (CFD), Injection timing (SOI), Lambda, Reactivity controlled compression ignition (RCCI)

Supporting Institution

TÜBİTAK; United States National Science Foundation; Convergent Science Inc.

Thanks

The Scientific and Technological Research Council of Turkey (TÜBITAK) provided financial support for Hamit Solmaz and Serdar Halis to perform this research. Also the another financial support provided by the United States National Science Foundation (Grant No: 1434273) was used in the setup of the experimental study. The authors thank to TÜBITAK, United States National Science Foundation and Dr. Mahdi Shahbakhti (former director of the Michigan Technological University Energy Mechatronics Laboratory) and Convergent Science Inc. for providing the free license of the CONVERGE software.

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