Numerical simulation of multi-layer and multi-passes welding anti-deformation for thick plate Invar alloy
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摘要: 文中针对19.05 mm厚Invar合金模具材料多层多道MIG焊接,采用有限元仿真分析和试验验证相结合的方法,分别对无反变形角的模型和施加不同反变形角的模型进行数值模拟,用模拟时所设计的反变形角进行Invar合金多层多道MIG焊试验,分析焊后试样的变形情况,与模拟结果对比分析.结果表明,当施加的反变形角为2°时可以有效控制100 mm × 100 mm × 19.05 mm的Invar合金四层十道MIG焊的焊后角变形,焊后残余翘曲高度为−0.11 mm,焊后残余角变形为−0.12°,与模拟结果的误差在8%之内. 结果表明,有限元模拟技术对于试验探究具有预测和引导作用.Abstract: Finite element simulation was applied in multi-layer and multi-passes MIG welding of 19.05 mm thick Invar alloy to simulate the non-deformable models and the models with different anti-deformation angles. Then the Invar alloy multi-layer and multi-passes MIG welding experiments were carried out with the anti-deformation angle, which was designed according to the simulation results, besides, the deformation of the post welding specimen was analyzed. The result showed that the 2 degree anti-deformation angle could effectively control the post welding angular deformation of the four-layer and ten-passes MIG welding for 100 mm × 100 mm × 19.05 mm Invar alloy. The post-weld residual warpage height is −0.11 mm and the post-weld residual angular deformation is −0.12 degree. The error between the results and the simulation results was less than 8%. This conclusion proved that the finite element simulation technology had prediction and guidance for experiments.
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[1] Wang Yuhua, Chen Jie, Zhan Xiaohong, et al. Manufacturing technology research on Invar composites mould[J]. Aeronautical Manufacturing Technology, 2014(11): 93 − 95
[2] 张家铭. 民机复材结构用Invar钢模具焊接工艺优化研究[D]. 哈尔滨:哈尔滨工业大学, 2013. [3] Liu Zhaodi. Manufacturing process of large-size and thin wall Invar mold[J]. Electromachining Mould, 2009(1): 47 − 50
[4] Corbacho J L, Suárez J C, Molleda F. Grain coarsening and boundary migration during welding of Invar Fe-36Ni alloy - further investigation on mechanism of reheat hot cracking in weld metal[J]. Materials Characterization, 1998, 41(1): 27 − 34.
[5] OGAWA T. Weldability of Invar and its large-diameter pipe[J]. Welding Journal, 1986, 8: 213 − 226.
[6] Deng Dean, Kiyoshima Shoichi. Influence of welding sequence on welding residual stress distribution in thick plate joint[J]. Transactions of the China Welding Institution, 2011, 32(12): 55 − 58
[7] Wang Y H, Wei Y H, Zhan X H, et al. The numerical simulation of laser-MIG hybrid welding for Invar alloy[J]. China Welding, 2017, 26(4): 29 − 36.
[8] Zong Pei, Wen Jiancheng, Luo Yu, et al. Finite element analysis of welding structure anti-deformation[J]. Ship & Ocean Engineering, 2001(5): 5 − 7
[9] Yang Guangchen, Xue Zhongming, Zhang Yanhua. Prediction of angular distortion in thick plate multi-pass weld[J]. Transactions of the China Welding Institution, 2004, 25(1): 115 − 118
[10] 王玉华, 陈 洁, 占小红, 等. 复合材料Invar模具制造技术分析[J]. 航空制造技术, 2014(11): 93 − 95 [11] Zhao Lihua, Zhang Kailin. Optimization analysis of welding reverse deformation for the side beam of bogie frame[J]. Journal of Shanghai Jiaotong University, 2011, 45(11): 1700 − 1704
[12] 刘招娣. 大型薄壁Invar钢复合材料模具制造技术[J]. 电加工与模具, 2009(1): 47 − 50 [13] 邓德安, 清岛祥一. 焊接顺序对厚板焊接残余应力分布的影响[J]. 焊接学报, 2011, 32(12): 55 − 58 [14] Wang Wei, Dong Wei, Zhao Hong, et al. Welding parameter selection and numerical simulation of Invar steel for LNG ship[J]. Modern Welding, 2012(10): 33 − 35.
[15] 宗 培, 文建成, 罗 宇, 等. 焊接结构反变形的有限元法计算[J]. 船海工程, 2001(5): 5 − 7 [16] 杨广臣, 薛忠明, 张彦华. 厚板多层多道焊角变形分析方法[J]. 焊接学报, 2004, 25(1): 115 − 118 [17] 赵利华, 张开林. 构架侧梁焊接反变形量的优化分析[J]. 上海交通大学学报, 2011, 45(11): 1700 − 1704 [18] 赵利华. 机车构架侧梁焊接数值仿真与变形控制[D]. 成都: 西南交通大学, 2012. [19] 陈纪城, 陈 洁, 占小红, 等. Invar钢厚板多层多道MIG自动焊接角变形控制及优化[C]//中国机械工程学会, 第二十次全国焊接学术会议论文集. 兰州, 2015: 590–594. [20] 陈泽斌. 中厚板机器人双面双弧多道焊数值模拟[D]. 上海: 上海交通大学, 2013. [21] 郑振太. 大型厚壁结构焊接过程的数值模拟研究与应用[D]. 天津: 天津大学, 2007. [22] Zhan X, Zhang D, Liu X, et al. Comparison between weave bead welding and multi-layer multi-pass welding for thick plate Invar steel[J]. International Journal of Advanced Manufacturing Technology, 2016, 88(5–8): 1 − 15.
[23] 王威, 董炜, 赵虹, 等. LNG船的Invar钢焊接参数的选择与数值模拟[J]. 现代焊接, 2012(10): 33 − 35 -
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