Liu Bang, Lan Jun, Liu Hongqiang, Chen Xinya, Zhang Xin, Jiang Zhengyi, Han Jian
School of Materials Science and Engineering, Tianjin University of Technology, Tianjin 300384, China.
Technology Research Institute, HBIS Group, Shijiazhuang 050023, China.
Materials (Basel). 2024 Mar 14;17(6):1337. doi: 10.3390/ma17061337.
Wire arc additive manufacturing (WAAM) excels in producing medium to large components with a high deposition rate. Process optimization is crucial for uniform, defect-free components. This research employs orthogonal experimental design and response surface methodology (RSM) to control TIG WAAM-ed 308L stainless steel components. Varied parameters, including tungsten electrode angle, welding current, and speed, target weld bead attributes. Analysis of variance (ANOVA) evaluates multi-processing parameter influence on weld bead formation. Comparison with experimental results confirms accurate modeling of the relationship between parameters and bead attributes. The study optimizes process parameters and swing to enhance dimensional accuracy in single-layer and multi-layer components, improving precision, quality, and accuracy in thin-walled structures.