Optimizing the metastability of high-strength ultrafine grained microstructure from large strain machining

Sepideh Abolghasem , Luis Felipe Hernández Rivera , Shashank Shekhar
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Abstract

Ultrafine-grained (UFG) microstructure of Cu processed by large strain machining (LSM) is explored in order to create highly refined grain structures to achieve the highest strength while postponing the available nuclei for future recrystallization. The optimum solution is obtained theoretically using the Strength Pareto Evolutionary Algorithm (SPEA) and empirically using LSM. The thermal stability of the optimal solution is verified across the comparable LSM conditions using isothermal annealing curve. We also studied the kinetics of crystallization on the optimal solution using the Johnson–Mehl–Avrami–Kolmogorov (JMAK) theory. The optimal solution encountered leads to the latest time for the point where hardness start decline among a comparable sample conditions and lower the rate constant (1/τ) among LSM conditions.

大应变加工中高强度超细晶组织亚稳态优化
研究了大应变加工(LSM) Cu的超细晶(UFG)微观结构,以形成高度细化的晶粒组织,从而获得最高的强度,同时推迟了未来再结晶的可用核。理论上采用强度帕累托进化算法(SPEA),实证上采用LSM算法。利用等温退火曲线验证了最优解在可比LSM条件下的热稳定性。我们还利用JMAK理论研究了最优溶液的结晶动力学。遇到的最优解导致在可比样品条件下硬度开始下降的最迟时间,并且在LSM条件下速率常数(1/τ)较低。
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