面-面接触铝合金紧固件微动疲劳寿命预测方法研究
发布时间：2018-11-26 20:58
【摘要】：针对具有面-面接触特征的铝合金紧固件,根据其接触特点,建立有限元模型计算了其应力场分布。考虑接触面高轴应力梯度的力学响应,用接触面应力三维度的概念来反映微动疲劳多轴应力状态。考虑损伤和弹塑性势能的耦合,从热力学第二定律出发,基于损伤力学本构方程,推导出基于热力学耗散势函数的耦合损伤演化模型。结合实验参数,得到预测铝合金紧固件微动疲劳寿命的方法。寿命预测结果与实验值进行对比,误差分散在25%范围内。
[Abstract]:According to the contact characteristics of aluminum alloy fasteners with surface-surface contact characteristics, a finite element model was established to calculate the stress field distribution. Considering the mechanical response of high axial stress gradient of contact surface, the concept of three dimensional stress of contact surface is used to reflect the multiaxial stress state of fretting fatigue. Considering the coupling of damage and elastoplastic potential energy, based on the second law of thermodynamics and the constitutive equation of damage mechanics, a coupled damage evolution model based on thermodynamic dissipation potential function is derived. The method of predicting fretting fatigue life of aluminum alloy fasteners is obtained by combining the experimental parameters. The result of life prediction is compared with the experimental data, and the error is in the range of 25%.
【作者单位】： 中北大学机械与动力工程学院;
【分类号】：TG146.21;TH114
[Abstract]:According to the contact characteristics of aluminum alloy fasteners with surface-surface contact characteristics, a finite element model was established to calculate the stress field distribution. Considering the mechanical response of high axial stress gradient of contact surface, the concept of three dimensional stress of contact surface is used to reflect the multiaxial stress state of fretting fatigue. Considering the coupling of damage and elastoplastic potential energy, based on the second law of thermodynamics and the constitutive equation of damage mechanics, a coupled damage evolution model based on thermodynamic dissipation potential function is derived. The method of predicting fretting fatigue life of aluminum alloy fasteners is obtained by combining the experimental parameters. The result of life prediction is compared with the experimental data, and the error is in the range of 25%.
【作者单位】： 中北大学机械与动力工程学院;
【分类号】：TG146.21;TH114
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