检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:周驰[1] 叶华钊 张昆 张赛军[1] Zhou Chi;Ye Huazhao;Zhang Kun;Zhang Saijun(School of Mechanical&Automotive Engineering,South China University of Technology,Guangzhou 510641,China)
机构地区:[1]华南理工大学机械与汽车工程学院,广东广州510641
出 处:《锻压技术》2020年第10期198-202,208,共6页Forging & Stamping Technology
基 金:广东省重点领域研发计划项目(2020B010184002)。
摘 要:以汽车常用Al5154合金为研究对象,构建在单拉、纯剪切及平面应变状态下的硬化模型。通过单拉、纯剪切、平面应变实验获得力学性能实验数据,提出一种考虑不同应力状态的VTL硬化模型,即在Voce硬化模型中引入表征不同应力状态的应力三轴度T和罗德参数L,采用Isight模拟优化平台进行模型参数标定。将新模型用于数值模拟,与传统的Swift和Voce硬化模型的模拟结果进行对比与分析,结果表明:传统的Swift和Voce硬化模型能够很好地描述单拉及平面应变状态下的硬化行为,但过高估计了纯剪切状态下的硬化行为,VTL硬化模型相比于Swift及Voce硬化模型能够更好地描述3种不同应力状态的硬化行为。For Al5154 alloy commonly used in automobile,the hardening model was constructed under uniaxial tensile,pure shear and plane strain states. Then,the experimental data of mechanical properties were obtained by the experiments of uniaxial tensile,pure shear and plane strain,VTL hardening model was proposed considering different stress states by adding the stress triaxiality T and Lode parameter L into the Voce hardening model to characterize different stress states,and the Isight simulation optimization platform was used to calibrate the model parameters. Furthermore,the new model was used for numerical simulation,and it was analyzed and compared with the simulation results of traditional Swift and Voce hardening models. The results show that the traditional Swift and Voce hardening models well describe the hardening behavior under uniaxial tensile and plane strain states,but overestimate the hardening behavior under pure shear state. However,VTL hardening model is better than Swift and Voce hardening models to describe the hardening behavior in three different stress states.
关 键 词:Al5154合金 VTL硬化模型 Swift硬化模型 Voce硬化模型 硬化行为
分 类 号:TG389[金属学及工艺—金属压力加工]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.7