内燃机工程2024,Vol.45Issue(1) :10-17.DOI:10.13949/j.cnki.nrjgc.2024.01.002

基于反向传播神经网络的增压器涡轮转子过盈连接结构优化设计

Optimization Design of the Interference Connection Structure for Turbocharger Turbine Rotors Based on Back Propagation Neural Network

陈升 刘烨 景国玺 陈光 彭前亮 孙秀秀
内燃机工程2024,Vol.45Issue(1) :10-17.DOI:10.13949/j.cnki.nrjgc.2024.01.002

基于反向传播神经网络的增压器涡轮转子过盈连接结构优化设计

Optimization Design of the Interference Connection Structure for Turbocharger Turbine Rotors Based on Back Propagation Neural Network

陈升 1刘烨 2景国玺 1陈光 1彭前亮 1孙秀秀1
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作者信息

  • 1. 河北工业大学 机械工程学院,天津 300130;天津市新能源汽车动力传动与安全技术重点实验室,天津 300130
  • 2. 中国北方发动机研究所,天津 300400
  • 折叠

摘要

针对钛铝合金涡轮与K418 合金套的过盈连接结构存在的应力问题,以涡轮转子过盈连接结构为研究对象,设计型线结构并建立过盈连接结构应力预测模型,基于过盈连接结构应力预测模型分析不同型线对应力分布状态的影响.研究结果表明:过盈连接结构应力预测模型具有较高的精度,对平均接触应力的预测误差为 0.67%,对最大Mises应力的预测误差为 8.25%.采用过盈连接结构应力预测模型得到的型线优化设计方案使涡轮轴最大Mises应力减少了 42.01%,而平均接触应力只减少了 10.22%,增压器涡轮转子过盈连接结构可靠性显著提高.

Abstract

To solve the stress problems existing in the interference connection structure of the titanium-aluminum alloy turbine and the K418 alloy sleeve,the turbine rotor interference connection structure was taken as the research object.A profile and a stress prediction model of the interference connection structure were designed and established.And the influences of different profiles on the stress distribution state were analyzed based on the stress prediction model of the interference connection structure.The research results show that the prediction error of the interference connection structure stress prediction model for average contact stress is 0.67%,and the prediction error for the maximum Mises stress is 8.25%,which has high accuracy.The optimized design scheme of the profile obtained by using the interference connection structure stress prediction model reduces the maximum Mises stress of the turbine shaft by 42.01%,while the average contact stress only decreases by 10.22%.The reliability of the interference connection structure of the turbocharger turbine rotor is significantly improved.

关键词

钛铝合金/涡轮/过盈连接/结构优化

Key words

titanium-aluminum alloy/turbine/interference connection/structural optimization

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基金项目

国防科技重点实验室基金项目(61422120301)

出版年

2024
内燃机工程
中国内燃机学会

内燃机工程

CSTPCD北大核心
影响因子:0.601
ISSN:1000-0925
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参考文献量8
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