Research Papers: Gas Turbines: Combustion, Fuels, and Emissions

Analysis of In-Cylinder Turbulent Flows in a DISI Gasoline Engine With a Proper Orthogonal Decomposition Quadruple Decomposition

[+] Author and Article Information
Wenjin Qin

School of Energy and Power Engineering,
Dalian University of Technology,
Dalian 116024, China
e-mail: qinwenjin0814@gmail.com

Maozhao Xie

School of Energy and Power Engineering,
Dalian University of Technology,
Dalian 116024, China
e-mail: xmz@dlut.edu.cn

Ming Jia

School of Energy and Power Engineering,
Dalian University of Technology,
Dalian 116024, China

Tianyou Wang, Daming Liu

State Key Laboratory of Engines,
Tianjin University,
Tianjin 300072, China

1Corresponding author.

Contributed by the Combustion and Fuels Committee of ASME for publication in the JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER. Manuscript received March 26, 2014; final manuscript received April 23, 2014; published online May 28, 2014. Editor: David Wisler.

J. Eng. Gas Turbines Power 136(11), 111506 (May 28, 2014) (15 pages) Paper No: GTP-14-1167; doi: 10.1115/1.4027658 History: Received March 26, 2014; Revised April 23, 2014

The proper orthogonal decomposition (POD) method is applied to analyze the particle image velocimetry (PIV) measurement data and large eddy simulation (LES) result from an in-cylinder turbulence flow field in a four-valve direct injection spark ignition (DISI) engine. The instantaneous flow fields are decomposed into four parts, namely, mean field, coherent field, transition field and turbulent field, respectively, by the POD quadruple decomposition. The filtering method for separating the four flow parts is based on examining the relevance and correlations between different flow fields reconstructed with various POD mode numbers, and the corresponding reconstructed fields have been verified by their statistical properties. Then, the in-cylinder flow evolution and cycle-to-cycle variations (CCV) are studied separately upon the four field parts. Results indicate that each one of the four field parts exhibits its own flow characteristics and has close connection with others. Furthermore, the mean part contains the most kinetic energy of the entire flow field and represents the bulk flow of the original in-cylinder velocity field; the CCV in this part could almost be neglected, while the coherent field part contains larger scale structures and the most fluctuating energy, and possesses the highest CCV level among the four parts.

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Fig. 2

Measurement planes

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Fig. 3

The computational mesh of the engine

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Fig. 4

Kinetic energy evolution

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Fig. 5

Kinetic energy distribution

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Fig. 6

POD modes comparison at 150 °CA ATDC

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Fig. 7

POD modes comparison at 270 °CA ATDC

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Fig. 8

Correlation of velocity fields as a function of the eliminated modes

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Fig. 9

Evolution of the velocity field correlation among the original instantaneous fields

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Fig. 10

Correlation between the reconstruction fields with adjacent modes numbers in the forward direction

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Fig. 11

Correlation between the reconstruction fields with adjacent modes numbers in the backward direction

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Fig. 12

Evolution of the spatially averaged skewness as a function of the eliminated modes

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Fig. 13

Evolution of the spatially averaged flatness as a function of the eliminated modes

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Fig. 14

PDF of turbulent velocity field at 270°ATDC

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Fig. 15

Instantaneous velocity fields and the corresponding mean, coherent and turbulent parts in cycle 3

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Fig. 16

Vorticity fields in the 3D view in cycle 3 (Q = 105s−1)

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Fig. 17

Evolution of the energy distributions

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Fig. 18

Cyclic variations of four velocity field parts

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Fig. 19

Velocity field at 150 °CA ATDC

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Fig. 20

Velocity field at 270 °CA ATDC




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