Method for achieving plasticity parameter parametric inversion recognition of welding nuclear area material
The invention discloses a method for achieving plasticity parameter parametric inversion recognition of a welding nuclear area material. The method comprises the following steps: testing the Vickers hardness of a material to be tested so as to obtain force-depth data, establishing a fitness optimiza...
Saved in:
Main Authors | , , |
---|---|
Format | Patent |
Language | Chinese English |
Published |
03.11.2017
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Summary: | The invention discloses a method for achieving plasticity parameter parametric inversion recognition of a welding nuclear area material. The method comprises the following steps: testing the Vickers hardness of a material to be tested so as to obtain force-depth data, establishing a fitness optimization function, performing parameter optimization on a particle group algorithm according to the fitness optimization function, and performing recognition by using the optimized particle group algorithm, thereby obtaining optimal fitting plasticity parameters of the material to be tested. By adopting the method, the recognition precision and efficiency of plasticity parameters of materials can be remarkably improved, and a foundation can be made for improving the CAE (Computer Aided Engineering) simulation precision of a welding point structure.
种焊核区域材料塑性参数反演识别的实现方法,通过对待测材料的维氏硬度试验得到力-深度数据并建立适应度优化函数,然后根据适应度优化函数对粒子群算法进行参数优化,最后通过优化后的粒子群算法进行识别,得到待测材料的最匹配塑性参数。本发明能够显著提高材料塑性参数识别的精度和效率,并为提高焊点结构CAE仿真精度奠定基础。 |
---|---|
Bibliography: | Application Number: CN20171532041 |