基于改进Sehitoglu模型的铸铝合金热机疲劳寿命预测

付亚飞, 陶帅, 景国玺, 于会超, 董长龙, 黄立荣

车用发动机 ›› 2025, Vol. 0 ›› Issue (3) : 74-80.

车用发动机 ›› 2025, Vol. 0 ›› Issue (3) : 74-80. DOI: 10.3969/j.issn.1001-2222.2025.03.011

基于改进Sehitoglu模型的铸铝合金热机疲劳寿命预测

  • 付亚飞1,2,陶帅1,2,景国玺1,2,于会超3,董长龙3,黄立荣3
作者信息 +

Thermal-Mechanical Fatigue Life Prediction of Cast Aluminum Alloy Based on Improved Sehitoglu Model

  • FU Yafei1,2,TAO Shuai1,2,JING Guoxi1,2,YU Huichao3,DONG Changlong3,HUANG Lirong3
Author information +
文章历史 +

摘要

为解决A356-T6铸铝合金气缸盖热机疲劳寿命预测问题,开展了发动机气缸盖本体取样下的拉伸性能测试、低周疲劳测试、蠕变测试和热机疲劳试验,得到了Sehitoglu模型计算中所需的材料参数,并通过考虑平均应力和温度对材料性能的影响,提出了基于改进Sehitoglu模型的热机疲劳寿命预测模型。通过和Sehitoglu模型预测结果进行对比,本研究提出的改进Sehitoglu模型预测寿命均在三倍误差带内,更适用于发动机气缸盖的热机疲劳寿命预测。

Abstract

To solve the problem of predicting the thermal fatigue life of A356-T6 cast aluminum alloy cylinder heads, tensile performance tests, low cycle fatigue tests, creep tests, and thermal fatigue tests were carried out under the sampling of engine cylinder head body. The material parameters required for the Sehitoglu model calculation were obtained, and the improved Sehitoglu model for predicting thermal fatigue life was proposed by considering the influence of average stress and temperature on material properties. By comparing the predicted results with those of the Sehitoglu model, the improved Sehitoglu model had a prediction life within three times the error band, making it more suitable for predicting the thermal fatigue life of engine cylinder heads.

关键词

铸铝合金 / 热机疲劳 / 寿命预测 / 预测模型

Key words

cast aluminum alloy / thermal-mechanical fatigue / life prediction / prediction model

引用本文

导出引用
付亚飞, 陶帅, 景国玺, 于会超, 董长龙, 黄立荣. 基于改进Sehitoglu模型的铸铝合金热机疲劳寿命预测[J]. 车用发动机. 2025, 0(3): 74-80 https://doi.org/10.3969/j.issn.1001-2222.2025.03.011
FU Yafei, TAO Shuai, JING Guoxi, YU Huichao, DONG Changlong, HUANG Lirong. Thermal-Mechanical Fatigue Life Prediction of Cast Aluminum Alloy Based on Improved Sehitoglu Model[J]. Vehicle Engine. 2025, 0(3): 74-80 https://doi.org/10.3969/j.issn.1001-2222.2025.03.011

Accesses

Citation

Detail

段落导航
相关文章

/