Prediction of high-temperature flow stress of HMn64–8–5–1.5 manganese brass alloy based on modified Zerilli-Armstrong, Arrhenius and GWO-BPNN model

Prediction of high-temperature flow stress of HMn64–8–5–1.5 manganese brass alloy based on modified Zerilli-Armstrong, Arrhenius and GWO-BPNN model

An accurate constitutive model is essential for designing the process of hot precision forging and numerical simulation. Based on the isothermal compression tests of as-extruded HMn64–8–5–15 manganese brass alloy at the deformation temperature of 873–1073 K and strain rate of 001–10 s ^−1 , the effe...

Full description

Bibliographic Details
Main Authors: Qiang Liang, Xianming Zhang, Xin Liu, Yongliang Li
Format: Article
Language:English
Published: IOP Publishing 2022-01-01
Series:Materials Research Express
Subjects:
HMn64–8–5–1.5 brass alloy
flow stress
constitutive model
BP neural network
grey wolf optimization algorithm
Online Access:https://doi.org/10.1088/2053-1591/ac71a1

Internet

https://doi.org/10.1088/2053-1591/ac71a1

Similar Items