摘要
金属连接界面广泛存在于机械设备中,目前表征金属连接界面的虚拟材料建模方法存在未考虑界面接触阻尼的不足,进而使得所建模型精度不足的问题,因此,为提高金属连接界面的建模精度,对虚拟材料建模方法进行了改进。在传统虚拟材料法的基础上,考虑了界面的接触阻尼,以虚拟材料结构阻尼系数表征界面的接触阻尼。通过推导改进虚拟材料参数,构建了金属连接界面有限元模型,结合金属连接界面有限元模型构建了金属连接结构有限元模型,仿真分析发现:随着界面承受的预紧力增大,虚拟材料的弹性模量和切变模量逐渐增大,结构阻尼系数逐渐减小。最后,对金属连接结构进行了脉冲激励试验,验证了改进虚拟材料建模方法的有效性,为金属连接界面提供了一种更精确的虚拟材料建模方法。
The metal connection interface is widely found in mechanical equipment;currently,the virtual material modeling method,which characterizes the metal connection interface,excludes the disadvantage of the interface’s contact damping,thus resulting in the model’s inaccuracy.Therefore,in this article,in order to enhance the modeling accuracy of the metal connection interface,the virtual material modeling method is optimized.Based on the traditional virtual material method,the interface’s contact damping is taken into consideration,which is characterized by the virtual material’s structure damping coefficient.The finite-element model of the metal connection interface is constructed by deriving the improved virtual material parameters;the finite element model of the metal connection structure is set up by combining the finite-element model of the metal connection interface.The simulation results show that with the ever-growing preload force on the interface,the virtual material’s elastic module and shear module gradually increase,while the structural damping coefficient gradually decreases.Finally,the impulse excitation test is conducted on the metal connection structure;it is verified that the improved virtual material modeling method is effective.This study provides a more accurate virtual material modeling method for metal connection interfaces.
作者
田彪
张周锁
李想
陈滇
周卓帆
TIAN Biao;ZHANG Zhousuo;LI Xiang;CHEN Dian;ZHOU Zhuofan(School of Mechanical Engineering,Xi’an Jiaotong University,Xi’an 710049)
出处
《机械设计》
北大核心
2025年第7期10-19,共10页
Journal of Machine Design
关键词
阻尼系数
金属连接界面
虚拟材料
有限元模型
脉冲激励试验
damping coefficient
metal connection interface
virtual material
finite-element model
pulse excitation test
作者简介
田彪(1996—),男,硕士研究生,研究方向:机电设备状态监测与智能诊断。E-mail:13835284104@163.com;通信作者:张周锁(1964—),男,教授,博士,研究方向:机电设备状态检测与智能诊断。E-mail:zzs@xjtu.edu.cn。
