材料科学
可塑性
位错
变形(气象学)
冯·米塞斯屈服准则
有限元法
衍射
弯曲
复合材料
非线性系统
弯曲分子几何
数字图像相关
表征(材料科学)
光学
压力(语言学)
声学
结构工程
纳米技术
物理
哲学
工程类
量子力学
语言学
作者
Carolina Espinoza,Vicente Salinas,Makarena Osorio,E. Pio,C. Aguilar,Fernando Lund,Nicolás Mujica
标识
DOI:10.1016/j.msea.2023.144759
摘要
Knowledge of the state of plastic deformation in metallic structures is vital to prevent failure. This is why non-destructive acoustic tests based on the measurement of first order elastic constants have been developed and intensively used. However, plastic deformations, which are usually heterogeneous in space, may be invisible to these methods if the variation of the elastic constants is too small. In recent years, digital image correlation techniques, based on measurements carried out at the surface of a sample, have been successfully used in conjunction with finite element modeling to gain information about plastic deformation in the sample interior. Acoustic waves can penetrate deep into a sample and offer the possibility of probing into the bulk of a plastically deformed material. Previously, we have demonstrated that nonlinear acoustic methods are far more sensitive to changes in dislocation density than linear ones. Here, we show that the nonlinear Second Harmonic Generation method (SHG) is sensitive enough to detect different zones of von Mises stress as well as effective plastic strain in centimeter-size aluminium pieces. This is achieved by way of ultrasonic measurements on a sample that has undergone a three-point bending test. Because of the relatively low stress and small deformations, the sample undergoes plastic deformation by dislocation proliferation. Thus, we conclude that the nonlinear parameter measured by SHG is also sensitive to dislocation density. Our experimental results agree with numerical results obtained by Finite Element Method (FEM) modeling. We also support the acoustic results by X-ray Diffraction measurements (XRD). Although intrusive and less accurate, they also agree with the acoustic measurements and plastic deformations in finite element simulations.
科研通智能强力驱动
Strongly Powered by AbleSci AI