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作 者:王伏林[1] 肖强 来书宁 唐能艺 WANG Fulin;XIAO Qiang;LAI Shuning;TANG Nengyi(School of Mechanical and Vehicle Engineering,Hunan University,Changsha,410013)
机构地区:[1]湖南大学机械与运载工程学院,长沙410013
出 处:《中国机械工程》2023年第19期2362-2369,共8页China Mechanical Engineering
摘 要:为了解决ZM5镁合金动态力学性能参数缺失的问题,提出基于不等分剪切模型的ZM5镁合金J-C本构参数逆向识别方法。根据金属切削理论建立主剪切区的应力、应变、应变率及温度分布模型,将正交切削试验和准静态拉伸试验相结合,采用混合粒子群算法确定ZM5镁合金的J-C本构参数,并应用于仿真。将所获得的仿真值与试验结果进行对比,所求得的J-C模型参数用于仿真能较好地反映实际切削试验中的切削力和切削温度,从而证明了所提出的逆向辨识方法的可行性。In order to solve the problems of missing dynamic mechanics parameters of ZM5 magnesium alloy,a reverse identification method of J-C constitutive parameters of the alloy was proposed based on unequal shear region theory.According to the metal cutting theory,the stress,strain,strain rate and temperature distribution model of the main shear zone were established,the orthogonal cutting experiments and the quasi-static tensile experiments were combined,and the J-C constitutive parameters of ZM5 magnesium alloy were determined by mixed particle swarm algorithm and applied to the simulation.Finally,the obtained simulation values are compared with the experimental ones,and the J-C model parameter simulation may betterly reflect the cutting forces and cutting temperature in the actual cutting experiments,so as to prove the feasibility of the reverse identification method adopted herein.
关 键 词:ZM5镁合金 J-C本构参数 不等分剪切模型 混合粒子群算法 逆向辨识
分 类 号:TH142[一般工业技术—材料科学与工程] TG501.1[机械工程—机械制造及自动化]
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