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    宋仁伯, 项建英, 刘良元, 任培东, 侯东坡. 316L不锈钢的热变形抗力模型[J]. 机械工程材料, 2010, 34(6): 85-88.
    引用本文: 宋仁伯, 项建英, 刘良元, 任培东, 侯东坡. 316L不锈钢的热变形抗力模型[J]. 机械工程材料, 2010, 34(6): 85-88.
    SONG Ren-bo, XIANG Jian-ying, LIU Liang-yuan, REN Pei-dong, HOU Dong-po. Hot Deformation Resistance Model of 316L Stainless Steel[J]. Materials and Mechanical Engineering, 2010, 34(6): 85-88.
    Citation: SONG Ren-bo, XIANG Jian-ying, LIU Liang-yuan, REN Pei-dong, HOU Dong-po. Hot Deformation Resistance Model of 316L Stainless Steel[J]. Materials and Mechanical Engineering, 2010, 34(6): 85-88.

    316L不锈钢的热变形抗力模型

    Hot Deformation Resistance Model of 316L Stainless Steel

    • 摘要: 在Gleeble-1500型热模拟试验机上通过高温压缩试验对316L不锈钢的变形抗力进行了系统的研究;根据试验得到的真应力-应变曲线,分析了变形温度和应变速率对316L不锈钢变形抗力的影响,并建立了高温变形抗力模型.结果表明:316L不锈钢在高温压缩过程中的热加工硬化倾向性较大,真应力-应变曲线上并没有出现应力峰值σp;1 050 ℃是该钢的特征变形温度,低于1 050 ℃时,流变应力受温度影响较大,随着温度的升高,流变应力的下降幅度较大;高于1 050 ℃时,温度的影响较小,流变应力下降幅度较缓;变形抗力的数学模型为σ=6.879exp(3 337.602/T)ε0.2860.119,实际值和拟合值的对比证明此模型具有较好的线性拟合性和数据稳定性.

       

      Abstract: The deformation resistance of 316L stainless steel had been systematically studied through high temperature compression tests on the Gleeble-1500 thermal simulation testing machine.According to the test,true stress-strain curves had been obtained,then the influences of deformation temperature and strain rate on deformation resistance had been investigated,and the hot deformation resistance model was established.The results show that 316L stainless steel was easy to work-hardening during hot deformation,and there was no peak stress σp on its true stress-strain curves.The temperature of 1 050 ℃ was the characteristic temperature of hot working of the steel.When the deformation temperature was below 1 050 ℃,the decreasing amplitude of flow stress with the increase of temperature was significant.On the other hand,when the deformation temperature was beyond 1 050 ℃,the influence of temperature and the decreasing amplitude was slight.A mathematical model of deformation resistance had been built,σ=6.879exp(3 337.602/T)ε0.2860.119,the model was proved to have excellent linear fitting and data stability after the measured and simulated values had been compared.

       

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