Inverse identification of constitutive parameters of Ti2AlNb intermetallic alloys based on cooperative particle swarm optimization
Inverse identification of constitutive parameters of Ti2AlNb intermetallic alloys based on cooperative particle swarm optimization
复制标题
基于协同粒子群优化的Ti2AlNb金属间合金本构参数反辨识
DOI：
10.1016/j.cja.2018.01.002
复制
发表时间：
2018-08-01
影响因子：
5.7
通讯作者：
Zhang, Liang
中科院分区：
文献类型：
--
作者：
He, Linjiang;Su, Honghua;Zhang, Liang
Ti2AlNb金属间合金是一种相对较新开发的耐高温结构材料，由于其优异的机械性能和高温下的高强度保持性，有望取代镍基高温合金用于航空和汽车发动机中的热应力和机械应力部件。这项工作的目的是提出一种直接从切削实验反演本构模型参数的快速可靠的方法。使用改进的 Johnson-Cook (TANH) 本构模型实施有限元加工模拟，以在可观测值和本构参数之间建立稳健的联系。进行了一系列具有不同切削参数的正交切削实验，以便与二维有限元模拟进行精确比较。开发了一种协作粒子群优化算法，并将其实现到 Matlab 程序中，以识别巨大的本构参数。结果表明，使用确定的最佳材料常数实现的模拟观测值（即切削力、切屑形态、切削温度）与实验获得的结果具有高度一致性，这说明使用从所提出的方法获得的确定参数的有限元加工模型可以与实验非常一致地进行预测。考虑到应用的未知参数数范围较广，所提出的本构方程辨识逆方法显示出良好的前景，可用于其他新开发的金属材料。 (C) 2018 中国航空学会。由 Elsevier Ltd 制作和托管。
Ti2AlNb intermetallic alloy is a relatively newly developed high-temperature-resistant structural material, which is expected to replace nickel-based super alloys for thermally and mechanically stressed components in aeronautic and automotive engines due to its excellent mechanical properties and high strength retention at elevated temperature. The aim of this work is to present a fast and reliable methodology of inverse identification of constitutive model parameters directly from cutting experiments. FE-machining simulations implemented with a modified Johnson-Cook (TANH) constitutive model are performed to establish the robust link between observables and constitutive parameters. A series of orthogonal cutting experiments with varied cutting parameters is carried out to allow an exact comparison to the 2D FE-simulations. A cooperative particle swarm optimization algorithm is developed and implemented into the Matlab programs to identify the enormous constitutive parameters. Results show that the simulation observables (i.e., cutting forces, chip morphologies, cutting temperature) implemented with the identified optimal material constants have high consistency with those obtained from experiments, which illustrates that the FE-machining models using the identified parameters obtained from the proposed methodology could be predicted in a close agreement to the experiments. Considering the wide range of the applied unknown parameters number, the proposed inverse methodology of identifying constitutive equations shows excellent prospect, and it can be used for other newly developed metal materials. (C) 2018 Chinese Society of Aeronautics and Astronautics. Production and hosting by Elsevier Ltd.