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Research Papers: Fuel Combustion

Stereoscopic Particle Image Velocimetry Measurements and Proper Orthogonal Decomposition Analysis of the In-Cylinder Flow of Gasoline Direct Injection Engine

[+] Author and Article Information
Mohammed El-Adawy

Mechanical Engineering Department,
Centre for Automotive Research and
Electric Mobility (CAREM),
Universiti Teknologi PETRONAS,
Seri Iskandar 32610, Perak, Malaysia,
e-mail: engmohammed_2008@yahoo.com

M. R. Heikal

Professor
Mechanical Engineering Department,
Centre for Automotive Research and Electric
Mobility (CAREM),
Universiti Teknologi PETRONAS,
Seri Iskandar 32610, Perak, Malaysia;
School of Computing Engineering and
Mathematics,
University of Brighton,
Brighton BN2 4GJ, UK,
e-mail: M.R.Heikal@brighton.ac.uk

A. Rashid A. Aziz

Professor
Centre for Automotive Research and Electric
Mobility (CAREM),
Mechanical Engineering Department,
Universiti Teknologi PETRONAS,
Seri Iskandar 32610, Perak, Malaysia,
e-mail: rashid@utp.edu.my

Contributed by the Internal Combustion Engine Division of ASME for publication in the JOURNAL OF ENERGY RESOURCES TECHNOLOGY. Manuscript received August 7, 2018; final manuscript received November 16, 2018; published online December 24, 2018. Assoc. Editor: Avinash Kumar Agarwal.

J. Energy Resour. Technol 141(4), 042204 (Dec 24, 2018) (14 pages) Paper No: JERT-18-1615; doi: 10.1115/1.4042068 History: Received August 07, 2018; Revised November 16, 2018

Intake generated flows are known to have a fundamental influence on the combustion both in spark ignition (SI) and compression ignition engines. This study experimentally investigated the tumble flow structures inside a cylinder of gasoline direct injection (GDI) engine utilizing a stereoscopic time-resolved particle image velocimetry (PIV). The experiments were conducted in a GDI engine head for a number of fixed valve lifts and 150 mmH2O pressure difference across the intake valves. A tumble flow analysis was carried out considering different vertical tumble planes. In addition, the proper orthogonal decomposition (POD) identification technique was applied on the PIV data in order to spatially analyze the structures embedded in the instantaneous velocity data sets. The results showed that the flow was dominated by a strong tumble motion in the middle of cylinder at high valve lifts (8–10 mm). Moreover, it is worth pointing out that, because of the complexity of the flow at the high valve lifts, the flow energy was distributed over a higher number of POD modes. This was confirmed by the need of a higher number of POD modes needed to reconstruct the original velocity field to the same level of fidelity.

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Figures

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Fig. 1

Schematic of stereo-PIV setup on the steady-state flow bench

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Fig. 2

Top view of Scheimpflug stereoscopic camera configuration showing the correction box

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Fig. 3

Top view for the location of the measurement vertical tumble planes

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Fig. 4

(a) Schematic for the field of view and (b) geometrical model of the intake port

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Fig. 5

Vectors calculation process for stereoscopic PIV

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Fig. 6

Velocity ensemble average at different valve lift

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Fig. 7

Vorticity magnitudes (rad/s) at different valve lifts

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Fig. 8

Variation of TKE at various valve lifts

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Fig. 9

Variation of turbulent intensity at various valve lifts

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Fig. 10

Tumble ratio at different valve lifts

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Fig. 11

Ensemble average of velocity fields in different planes at valve lift 9 mm and 10 mm

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Fig. 12

Schematic of different sections considered for POD analysis

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Fig. 13

Relative energy distributions in different section at various valve lifts

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Fig. 14

Relative energy distribution in different tumble planes at (a) valve lift 9 mm and (b) valve lift 10 mm

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Fig. 15

Reconstructed velocity field using different numbers of POD modes versus original velocity field at valve lifts 9 mm

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Fig. 16

Reconstructed velocity field using different numbers of POD modes versus original velocity field at valve lift 10

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