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为了获得钛合金Ti6Al4V面向切削加工过程的Johnson-Cook模型参数,基于Oxley切削模型和自由正交切削实验资料,以主剪切区材料为研究对象,分别计算了剪切面上的剪切流动应力和剪应力。采用最小二乘原理将参数识别问题转化为以JC模型参数为未知量,以这两个应力差值的平方和为函数,以该函数的最小值为目标的优化问题,在合适的边界条件下,采用遗传算法搜索该优化问题的全局最优解,进而求得对应的本构常数。最后,用有限元仿真模型验证了本文所提本构参数识别方法的合理性及所得结果的正确性。
In order to obtain the Johnson-Cook model parameters for the Ti6Al4V titanium alloy cutting process, based on the experimental data of the Oxley cutting model and the free-form orthogonal cutting test, the shear stress of the shear section is calculated by using the material of the main shear zone as the research object And shear stress. Least-squares principle is used to convert the problem of parameter identification into an optimization problem whose objective function is to minimize the JC model parameters as a function of the square sum of these two stress differences. Under appropriate boundary conditions , Using genetic algorithm to search the global optimal solution of the optimization problem, and then find the corresponding constitutive constants. Finally, the finite element simulation model is used to verify the rationality of the method for identifying constitutive parameters and the correctness of the results obtained.