Multi-Objective Optimization for Turning Process of 304 Stainless Steel Based on Dung Beetle Optimizer-Back Propagation Neural Network and Improved Particle …

H Xue, T Li, J Li, Y Zhang, S Huang, Y Li… - Journal of Materials …, 2024 - Springer
Austenite stainless steel of type 304 is one of the most difficult materials to process. During
the machining process, parts easily generate higher surface residual stress in cutting …

Numerical study of the residual stress and welding deformation of mid-thick plate of AA6061-T6 in the multi-pass MIG welding process

S Zhao, Y Li, R Huang, Z He - Journal of Mechanical Science and …, 2021 - Springer
In this paper, three methods of adding and activating weld bead elements, ie, adding and
activating the weld bead segment by segment (case A), adding and activating one weld …

The Different Welding Layers and Heat Source Energy on Residual Stresses in Swing Arc Narrow Gap MAG Welding

Y Fang, C Ma, G Zhang, Y Qin, W Cao - Materials, 2023 - mdpi.com
In this paper, in order to reduce the time cost of prediction experiments in industry, a new
narrow gap oscillation calculation method is developed in ABAQUS thermomechanical …

[引用][C] The Different Welding Layers and Heat Source Energy on Residual Stresses in Swing Arc Narrow Gap MAG Welding. Materials 2023, 16, 4067

Y Fang, C Ma, G Zhang, Y Qin, W Cao - 2023 - europepmc.org
In this paper, in order to reduce the time cost of prediction experiments in industry, a new
narrow gap oscillation calculation method is developed in ABAQUS thermomechanical …