HIGHLIGHTS
- who: Sijia Li and collaborators from the Department of Mechanical Engineering, Jeju National University, Jeju-si, Korea, Kaiyuan Luoyang, China have published the paper: Flow Behavior of AA5005 Alloy at High Temperature and Low Strain Rate Based on Arrhenius-Type Equation and Back Propagation Artificial Neural Network (BP-ANN) Model, in the Journal: Materials 2022, 3788 of /2022/
- what: To understand the relationship of aluminum alloy AA5005 among flow stress true strain strain and deformation temperature hot isothermal tensile tests were conducted within the strain range 0.0003-0.03 s-1 and temperature range . . .
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