The structure of in-cylinder flow field makes significant impacts on the processes of fuel injection, air–fuel interactions, and flame development in internal combustion engines. In this study, the implementation of time-resolved particle image velocimetry (PIV) in an optical engine is presented. Flow field PIV images at different crank angles have been taken using a high-speed double-pulsed laser and a high-speed camera with seeding particles mixed with the intake air. This study is focused on measuring the flow fields on the swirl plane at 30 mm below the injector tip under various intake air swirl ratios. A simple algorithm is developed to identify the vortex structure and to track the location and motion of vortex center at different crank angles. Proper orthogonal decomposition (POD) has been used to extract the ensemble and variation information of the vortex structure. Experimental results reveal that strong cycle-to-cycle variations exist in almost all test conditions. The vortex center is difficult to identify since multiple, but small scale, vortices exist during the early stage of the intake stroke. However, during the compression stroke when only one vortex center exists in most cycles, the motion of vortex center is found to be quite similar at different intake swirl ratios and engine speeds. This is due to the dominant driving force exerted by the piston’s upward motion on the in-cylinder air.

References

1.
Sick
,
V.
,
2013
, “
High Speed Imaging in Fundamental and Applied Combustion Research
,”
Proc. Combust. Inst.
,
34
(
2
), pp.
3509
3530
.10.1016/j.proci.2012.08.012
2.
Sick
,
V.
,
Drake
,
M. C.
, and
Fansler
,
T. D.
,
2010
, “
High-Speed Imaging for Direct-Injection Gasoline Engine Research and Development
,”
Exp. Fluids
,
49
(
4
), pp.
937
947
.10.1007/s00348-010-0891-3
3.
Ho
,
S.-S.
,
2012
, “
An Effective Vortex Detection Approach for Velocity Vector Field
,”
21st International Conference on Pattern Recognition (ICPR2012)
, Tsukuba, Japan, Nov. 11–15, pp.
2643
2646
.
4.
Li
,
Y.
,
Zhao
,
H.
,
Peng
,
Z.
, and
Ladommatos
,
N.
,
2001
, “
Analysis of Tumble and Swirl Motions in a Four-Valve SI Engine
,”
SAE Trans. J. Engines
,
110
, pp.
2226
2241
.10.4271/2001-01-3555
5.
Müller
,
S.
,
Böhm
,
B.
,
Gleißner
,
M.
,
Grzeszik
,
R.
,
Arndt
,
S.
, and
Dreizler
,
A.
,
2010
, “
Flow Field Measurements in an Optically Accessible, Direct-Injection Spray-Guided Internal Combustion Engine Using High-Speed PIV
,”
Exp. Fluids
,
48
(
2
), pp.
281
290
.10.1007/s00348-009-0742-2
6.
Chen
,
H.
,
Reuss
,
D. L.
, and
Sick
,
V.
,
2011
, “
Analysis of Misfires in a Direct Injection Engine Using Proper Orthogonal Decomposition
,”
Exp. Fluids
,
51
(
4
), pp.
1139
1151
.10.1007/s00348-011-1133-z
7.
Chen
,
H.
,
Reuss
,
D. L.
, and
Sick
,
V.
,
2012
, “
On the Use and Interpretation of Proper Orthogonal Decomposition of In-Cylinder Engine Flows
,”
Meas. Sci. Technol.
,
23
(
8
), p.
085302
.10.1088/0957-0233/23/8/085302
8.
Graftieaux
,
L.
,
Michard
,
M.
, and
Grosjean
,
N.
,
2001
, “
Combining PIV, POD and Vortex Identification Algorithms for the Study of Unsteady Turbulent Swirling Flows
,”
Meas. Sci. Technol.
,
12
(
9
), pp.
1422
1429
.10.1088/0957-0233/12/9/307
9.
Cosadia
,
I.
,
Borée
,
J.
, and
Dumont
,
P.
,
2007
, “
Coupling Time-Resolved PIV Flow-Fields and Phase-Invariant Proper Orthogonal Decomposition for the Description of the Parameters Space in a Transparent Diesel Engine
,”
Exp. Fluids
,
43
(
2–3
), pp.
357
370
.10.1007/s00348-007-0338-7
10.
Chen
,
H.
,
Reuss
,
D. L.
,
Hung
,
D. L.
, and
Sick
,
V.
,
2012
, “
A Practical Guide for Using Proper Orthogonal Decomposition in Engine Research
,”
Int. J. Engine Res.
,
14
(
4
), pp.
307
319
.10.1177/1468087412455748
You do not currently have access to this content.