Parametric Optimization Design for Gasoline Engine Intake Port

被引：0
|
作者：
Guo Q. [1 ]
Wei J. [1 ]
Xu H. [1 ]
Wu S. [1 ]
Ding S. [1 ]
Lü W. [1 ]
机构：
[1] Automotive Research & Development Center, Guangzhou Automobile Group Co. Ltd., Guangzhou
来源：
Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University | 2019年 / 53卷 / 11期
关键词：
Contribution analysis; Gasoline engine intake port; Parametric optimization; Particle image velocimetry; Second generation non-dominated sorting genetic algorithm;
D O I：
10.7652/xjtuxb201911023
中图分类号：
学科分类号：
摘要：
Aiming at the problem that the traditional experiential optimization for gasoline engine intake port is of strong subjectivity and low efficiency, a parametric optimization method for the intake port based on local deformation and rotation is proposed. According to the local deformation and rotation of the intake port controlled by control points, a parametric local deformation model of the intake port is established and validated by particle image velocimetry experiment. Then the design of experiments and contribution analysis are adopted to identify the control points making large contribution to the flow coefficient and tumble ratio. These control points are optimized to increase the flow coefficient and tumble ratio with the second generation non-dominated sorting genetic algorithm. The results show that from 0.490 to 0.526, the flow coefficient of the intake port remarkably rises by 7.35% with constant tumble ratio. The optimum solution sets close to theoretical Pareto front and the optimum intake port model can be obtained by this method with strong practicability and high efficiency. © 2019, Editorial Office of Journal of Xi'an Jiaotong University. All right reserved.
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页码：164 / 170
页数：6
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