汽车工程 ›› 2021, Vol. 43 ›› Issue (3): 337-344.doi: 10.19562/j.chinasae.qcgc.2021.03.005

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进气道螺旋段关键结构参数多目标优化设计

张韦1,解礼兵1,陈朝辉1(),周马益1,陈永2,范吉文2,陶丽2   

  1. 1.昆明理工大学,云南省内燃机重点试验室,昆明 650500
    2.昆明云内动力股份有限公司,昆明 650501
  • 收稿日期:2020-09-08 修回日期:2020-11-13 出版日期:2021-03-25 发布日期:2021-03-26
  • 通讯作者: 陈朝辉 E-mail:chenzhaohuiok@sina.com
  • 基金资助:
    国家自然科学基金(51665023)

Multi⁃objective Optimization Design of Key Structural Parameters of Spiral Section of Helical Inlet

Wei Zhang1,Libing Xie1,Zhaohui Chen1(),Mayi Zhou1,Yong Chen2,Jiwen Fan2,Li Tao2   

  1. 1.Kunming University of Science and Technology,Yunnan Province Key Laboratory of Engines,Kunming 650500
    2.Kunming Yunnei Power Co. ,Ltd. ,Kunming 650501
  • Received:2020-09-08 Revised:2020-11-13 Online:2021-03-25 Published:2021-03-26
  • Contact: Zhaohui Chen E-mail:chenzhaohuiok@sina.com

摘要:

采用气道稳流试验、CFD稳态模拟,结合多目标优化设计手段,研究YN柴油机单螺旋进气道螺旋段的最小截面积、蜗壳内半径、蜗壳外半径和螺旋室高度4个关键结构参数对气道流动特性的影响。结果表明:通过回归分析获得的近似数学模型,可实现气道结构参数与气道性能的正向定量研究;通过对原机气道螺旋段结构参数的多目标优化,可实现在流量系数小幅降低(0~3.98%)的条件下,涡流比的明显提高(9.3%~14.34%)。

关键词: 柴油机, 单螺旋进气道, 螺旋段, 涡流比, 流量系数, 多目标优化

Abstract:

Using steady?state air?flow experiments and CFD steady?state simulation, combined with the multi?objective optimization design method, the influence of four key structural parameters including minimum cross?sectional area of helical section, the inner radius of volute, the outer radius of volute and the height of the spiral chamber on the inlet flow characteristics of single helical intake port of YN diesel engine is studied. The results show that the approximate mathematical model obtained by regression analysis can realize the positive quantitative research of inlet structure parameters and inlet performance. The multi?objective optimization design of the structural parameters of the original intake port helical section can significantly increase the eddy current ratio (9.3%~14.34%), with a small decrease of the flow coefficient (0~3.98%).

Key words: diesel engine, single helical intake port, spiral section, swirl ratio, flow coefficient, multi?objective optimization