Research Papers: Internal Combustion Engines

Experimental Analysis of Cyclical Dispersion in Compression-Ignited Versus Spark-Ignited Engines and Its Significance for Combustion Noise Numerical Modeling

[+] Author and Article Information
Alberto Broatch

CMT-Motores Térmicos,
Universitat Politècnica de València,
Camino de Vera,
Valencia 46022, Spain
e-mail: abroatch@mot.upv.es

J. Javier Lopez

CMT-Motores Térmicos,
Universitat Politècnica de València,
Camino de Vera,
Valencia 46022, Spain
e-mail: jolosan3@mot.upv.es

Jorge García-Tíscar

CMT-Motores Térmicos,
Universitat Politècnica de València,
Camino de Vera,
Valencia 46022, Spain
e-mail: jorgarti@mot.upv.es

Josep Gomez-Soriano

CMT-Motores Térmicos,
Universitat Politècnica de València,
Camino de Vera,
Valencia 46022, Spain
e-mail: jogoso1@mot.upv.es

1Corresponding author.

Contributed by the IC Engine Division of ASME for publication in the JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER. Manuscript received November 29, 2017; final manuscript received May 8, 2018; published online June 25, 2018. Assoc. Editor: Alessandro Ferrari.

J. Eng. Gas Turbines Power 140(10), 102808 (Jun 25, 2018) (8 pages) Paper No: GTP-17-1636; doi: 10.1115/1.4040287 History: Received November 29, 2017; Revised May 08, 2018

As noise pollution remains one of the biggest hurdles posed by thermal engines, increasing efforts are made to alleviate the generation of combustion noise from the early design stage of the chamber. Since the complexity of both modern chamber geometries and the combustion process itself precludes robust analytic solutions, and since the resonant, highly three-dimensional pressure field is difficult to be measured experimentally, focus is put on the numerical modeling of the process. However, in order to optimize the resources devoted to this simulation, an informed decision must be made on which formulations are followed. In this work, the experimental cyclic dispersion of the in-cylinder pressure is analyzed in two typical compression-ignited (CI) and spark-ignited (SI) engines. Acoustic signatures and pressure rise rates (PRRs) are derived from these data, showing how while the preponderance of flame front propagation and dependency of previous cycle in SI engine noise usually calls for multicycle, more complex turbulence modeling such as large Eddy simulation (LES), simpler unsteady Reynolds-averaged Navier-Stokes (URANS) formulations can accurately characterize the more consistent pressure spectra of CI thermal engines, which feature sudden autoignition as the main noise source.

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Grahic Jump Location
Fig. 4

Pressure spectral density in both engines: CI (top plot) and SI (bottom plot). Spectra have been separated based on the prevalence of each source mechanism, including the mean sound pressure level (SPL) and the SD (shaded) along all experimental cycles.

Grahic Jump Location
Fig. 1

Schematic of the engine test cell used in the measurement of SI combustion cyclical dispersion. In-cylinder pressure traces used in this work were captured with a fast piezoelectric sensor, marked with an encircled “P” symbol.

Grahic Jump Location
Fig. 2

Visual representation of the frequency cut-off determination following the selected pressure decomposition algorithm

Grahic Jump Location
Fig. 3

Time evolution of the pressure traces in both engines: CI (top plot) and SI (bottom plot). Besides raw pressure, each contribution to the pressure is also included, along with their SD (shaded). Zoomed views are provided highlighting the oscillations of the chamber resonance.

Grahic Jump Location
Fig. 5

Normalized PRR measured in the CI engine (top) and the SI engine (bottom) along with its SD (shaded)

Grahic Jump Location
Fig. 6

Cyclic variability of the overall engine noise obtained by the classical approach proposed by Austen and Priede [49] in both engines: CI (top plot) and SI (bottom plot). ON level of each cycle is plotted (dots) along with the mean (solid black line) and SD (shaded).



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