Analyzing the Influence of Laser Welding Parameters on the Welding Quality of 7075 Aluminum Alloy by Response Surface Methodology
DING Yaru1,2, CHEN Furong1, YANG Fan1, JIA Cuiling1
1 School of Materials Science and Engineering, Inner Mongolia University of Technology, Hohhot 010051, China; 2 Mechanical and Electrical Technology, Inner Mongolia Vocational College, Hohhot 010051, China
Abstract: The appearance quality (the form factor and the weld section area) of 7075 aluminum alloy welded joint was selected as evaluation indexes, response surface methodology was used to optimize welding parameters (the welding power, the welding speed, the defocusing amount and the shielding gas volume). The design of the four factor levels (the welding power, the welding speed, the defocusing amount and the shielding gas volume) were completed by using the design expert software. 7075 aluminum alloy plate with thickness of 3 mm was selected for fiber laser welding, and the depth of penetration, the width of weld and the weld section area were measured by stereo microscope and then calculated by the form factor. By means of response surface methodology, data simulation, modeling and comparison were conducted to select the best mathematical model and established the regression model. The prediction model was analyzed by anova, and the significance of each factor was determined, the three-dimensional response surface curve of the weld forming coefficient and the weld sectional area at the four factor level was obtained, the contour line was analyzed, 100 groups of factors level and the predicted results were simulated, and the optimum welding process was finally determined. The results showed that after the regression model was determined, the regression equation was tested with the horizontal median values of each factor. The results show that the measured values of molding coefficient and weld sectional area were closed to the predicted values. The predicted value of molding coefficient was 0.61% higher than the measured value. The predicted value of weld sectional area was 1.9% higher than the measured value. The better welding parameters is: the welding power is 2 300 W, the welding speed is 45 mm/s, the defocusing amount is 1 mm, the gas protection amount is 15 L/min. The weld forming coefficient under this parameter is 0.803, the weld cross-sectional area is 4.436 mm2, and the tensile strength is 325 MPa.
1 Chu Q L, Bai R X, Jian H G, et al. Materials Characterization, 2018, 137, 269. 2 Lee K D, Park K Y. International Congress on Applications of Lasers,DOI: 10.2351/1.5060045. 3 Katayama S, Kawahito Y, Mizutani M. Physics Procedia, DOI: 10.1016/j.phpro.2010.08.024. 4 Ascari A, Fortunato A, Orazi L, et al. Optics & Laser Technology, 2012, 44(5), 1485. 5 Meng C, Lu F G, Cui H C, et al. International Journal of Advanced Manufacturing Technology, 2013, 67(9-12), 2917. 6 Meng W, Li Z, Lu F, et al. Journal of Materials Processing Technology, 2014, 214(8), 1658. 7 Belov N A, Alabin A N, Matveeva I A. Journal of Alloys and Compounds, 2014,508, 206. 8 Takahashi K, Sato S. Welding International, 2000, 14(6), 439. 9 Mazar M, Atabaki N, Yazdian R. Contents lists available at ScienceDirect Optic, 2016, 127, 6782. 10 Shanvas S, Edwin Raja Dhas J. Transactions of Nonferrous Metals Society of China, 2017, 27, 2334. 11 Singh P K, Kumar S D, Patel D, et al. Journal of Mechanical Science and Technology, 2017, 31 (5), 2487. 12 Sudhakaran R, VeL Murugan V, Sivasakthivel P S, et al. International Journal of Advanced Manufacturing Technology, 2013, 64, 1487. 13 Vijayan D, Seshagiri Rao V. Journal of Central South University of Technology,2016, 23, 1847. 14 Zhou L, Luo L Y, Wang R, et al. JMEPEG, 2018, 27, 4050. 15 Xie Z Z. Optimization of laser lap welding parameters of galvanized steel sheet based on response surface methodology. Ph.D. Thesis, Changsha University of Technology, China, 2018(in Chinese). 谢志洲,基于响应曲面法的镀锌钢板激光搭接焊接工艺参数优化研究. 博士学位论文, 长沙理工大学, 2018.
渝公网安备50019002502923号 版权所有：《材料导报》编辑部
2021, Vol. 35 
