K418B合金高温动态压缩力学性能及本构模型研究

STUDY ON DYNAMIC COMPRESSIVE MECHANICAL PROPERTIES AND CONSTITUTIVE MODEL OF K418B ALLOY AT HIGH TEMPERATURE

  • 摘要: 为研究航空发动机常用的K418B高温合金在宽应变率宽温度范围内的动态力学性能,本文利用不同应变率下的高温压缩力学性能测试系统,开展了不同应变率(准静态、100 s−1、1 000 s−1和5 000 s−1)及不同温度(室温、400 ℃、600 ℃、950 ℃)下的压缩实验,揭示了温度和应变率对K418B高温合金力学性能和失效模式的影响规律。研究结果表明,K418B高温合金在准静态压缩加载下,流动应力随温度的升高逐渐降低,且应变硬化效应减小;在动态压缩加载下,当温度低于600 ℃且塑性应变较小时,流动应力下降不明显,而当温度升高到950 ℃时,流动应力从变形开始阶段就明显降低。压缩加载下,试样出现45°剪切裂纹,应变率和温度的变化会影响K418B高温合金的变形和破坏模式。基于实验数据,建立了修正的Johnson-Cook本构模型,并提出了基于粒子群优化算法的本构模型参数识别方法,通过参数优化,显著提升K418B在宽应变率宽温度范围内的力学性能预测精度。

     

    Abstract: To study the dynamic mechanical properties of K418B superalloy, commonly used in aeroengines within a wide range of strain rates and temperatures, high-temperature mechanical properties experimental systems at different strain rates was utilized, and compressive mechanical properties of K4188 superalloy were tested at different strain rates (quasi-static, 100 s−1, 1 000 s−1 and 5 000 s−1) and at different temperatures (room temperature, 400 ℃, 600 ℃, 950 ℃). The stress-strain curves of the material were obtained. Based on the experimental results, the effects of temperatures and of strain rates on the mechanical properties and on the failure modes of K418B superalloy were analyzed. The results show that the flow stress decreases with the increase of temperatures and the strain hardening effect decreases with the increase of temperatures under quasi-static compressive loadings. Under dynamic compressive loadings, the flow stress does not decrease significantly when the plastic deformation is small below 600 ℃, and when the temperature rises to 950 ℃, the flow stress decreases significantly from the beginning of the deformation. With the increase of temperatures, the strain rate strengthening effect becomes more obvious. Under compressive loadings, the shear crack of 45° appeared in the specimen. The oxidation corrosion and deformation of the specimen are intensified with the increase of temperatures. Based on the experimental data, a modified Johnson-Cook constitutive model was established, and a parameter identification method for the constitutive model based on particle swarm optimization algorithm was proposed. Through parameter optimization, the mechanical performance prediction accuracy of K418B superalloy within a wide range of strain rates and temperatures was significantly improved.

     

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