PIV measurements and numerical analysis of in-cylinder tumble flow in a motored engine

被引:0
作者
Roberto Berlini Rodrigues da Costa
Raphael Meireles Braga
Carlos Alberto Gomes Júnior
Ramón Molina Valle
Rudolf Huebner
机构
[1] Universidade Federal de Minas Gerais,
来源
Journal of the Brazilian Society of Mechanical Sciences and Engineering | 2017年 / 39卷
关键词
Internal combustion engine; PIV measurements; In-cylinder flow motion; Velocity field; CFD;
D O I
暂无
中图分类号
学科分类号
摘要
The purpose of this study is to present an experimental methodology and a numerical analysis to characterize the in-cylinder tumbling flow generated by a motored four-valve spark ignition single-cylinder optical engine. High-speed two-dimensional particle image velocimetry measurements were made in the symmetry vertical plane between the inlet and outlet valves. The velocity flow fields were recorded during the intake and compression strokes for three different engine speeds (1000, 1500, and 2000 rpm) at several crank angles. Computational fluid dynamics (CFD) simulations were carried out using the Star-CD software with es-ICE module, and the two different turbulence models, RNG–k–ε and k–w SST, were analyzed with experimental data of the engine running at 1000 rpm in motored conditions. Regarding experimental results, vorticity, tumble ratio, and kinetic energy were calculated and compared. The initially large mean kinetic energy and tumble ratio, which is caused by the high-velocity jets of the inlet valves and in-cylinder bulk flow, decrease during intake in response to the piston motion. The air jet entering the cylinder space strikes the piston top surface generating a counter-clockwise rotating tumble vortex. Flow field cyclic variation could be noticed and quantified. In addition, an evolution analysis of the main vortex center and engine speed influence were made. Moreover, a qualitative analysis of the CFD scalar flow field in the region of interest is presented. The numerical results showed a better agreement with the RNG–k–ε and experimental mean velocity magnitude curve than k–ω–SST. However, the qualitative scalar velocity field of the k–ω model captured more details of the flow than the k–ε model. The methodology contributes to a better understanding of flow motion behavior, piston speed and valve timing influences, and, consequently, the mixture formation process in spark ignition engines.
引用
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页码:3931 / 3945
页数:14
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