基于NSGA-Ⅱ及多目标寻优的气缸垫参数优化研究
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作者单位:

1.陆军装甲兵学院;2.中国人民解放军第六四五六工厂;3.中国北方发动机研究所

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中图分类号:

TK423

基金项目:

国防973项目(201697301);军内科研项目(2019ZB124)


Research on Optimization of Cylinder Gasket Parameters Based on NSGA-Ⅱ and Multi-Objective Optimization
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Army Academy of Armored Forces

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    摘要:

    为详细探究某重型柴油机气缸垫的工作状态,提高其工作可靠性和使用寿命,通过相关遗传算法和寻优策略对气缸垫参数进行了优化研究。首先计算分析了其温度场、热应力场、热机耦合应力场及变形情况,并结合温度场实验对计算模型进行了验证。随后利用正交实验方法分析了气缸垫的五个因素对其状态指标的影响规律。在上述计算结果的基础上利用动态引导式多目标寻优策略以及非支配排序遗传算法综合确定了气缸垫的优化方案。结果表明优化后气缸垫的温度、应力及变形情况均有一定程度改善,证明了优化方案及算法的有效性。

    Abstract:

    In order to explore the working condition of a heavy-duty diesel engine cylinder gasket in detail, and improve its working reliability and service life, the cylinder gasket parameters were optimized and studied using relevant algorithms. Firstly, the temperature field, thermal stress field, thermal-mechanical coupling stress field and deformation of gasket are calculated and analyzed, and the calculation model is verified by experiment. Then the orthogonal experiment method was used to analyze the influence of the five factors of the gasket on its three state indexes. On the basis of the above calculation results, the optimization scheme of the cylinder gasket is comprehensively determined by the dynamic guided multi-objective optimization strategy and the non-dominated sorting genetic algorithm. The results show that the temperature, stress and deformation of gasket have been improved to a certain extent after optimization, which proves the effectiveness of the optimization scheme and algorithm.

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刘建敏,董意,刘艳斌,等. 基于NSGA-Ⅱ及多目标寻优的气缸垫参数优化研究[J]. 科学技术与工程, , ():

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  • 收稿日期:2020-11-01
  • 最后修改日期:2021-01-20
  • 录用日期:2021-01-21
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