Application Status and Prospect of Combined Heat Source Model in Welding Simulation
XU Zhou1, LI Xiaoyan1, WANG Xiaopeng1, WANG Haidong2
1 College of Materials Science and Engineering, Beijing University of Technology, Beijing 100124, China 2 China Nuclear Industry 23 Construction Co., Ltd., Beijing 101300, China
Abstract: Numerical simulation technology can quickly and comprehensively analyze the welding process and is widely used in welding related research. In the welding process, the welding heat input determines the distribution of welding temperature and stress, so its accurate expression plays the most important role in the accuracy of simulation. At present, the description of welding heat input is completed by the heat source model substituted in the simulation. The combined heat source model that includes multiple single heat sources is particularly concerned because of its flexible use. The flexibility of the combined heat source model comes from the fact that it can be a combination of any single heat source model, but this also brings difficulties in composition selection. In theory, the composition of the combined heat source model is infinite, and the advantages of the combined heat source model can be reflected only when the combination heat source model can be accurately determined according to the wel-ding situation. In addition, the parameters of the combined heat source model are added. There are shape parameters that also exist in the single heat source model, and it also includes the energy coefficient of how the total welding energy is distributed in the combined heat source model. How these parameters should be adjusted and determined is a question that must be answered when using the combined heat source model. In different welding situations, researchers have used surface heat source + body heat source, body heat source + body heat source and other various combinations. They can be divided into two categories according to the purpose of using the combined heat source model :(1) the combined heat source model is used to simulate the shape of the molten pool that is difficult to express by the single heat source model; (2) the combined heat source model is used to correspond to different parts of the actual welding heat source. In these works, the application of the combined heat source model improves the accuracy of simulation. In the study of heat source parameter adjustment, the energy distribution coefficient of heat source can be determined by observing the shape of simulated molten pool, experimental measurement and simulation experience. In order to improve the efficiency of heat source shape parameter adjustment, on the basis of trial-and-error method, the emergence of digital image reco-gnition technology and automatic calibration program has strengthened the application of computer technology. In addition, it is also possible to consider reducing the number of shape parameters when designing the heat source model. This paper introduces the composition of the combined heat source model from the shape of the molten pool and the distribution of energy, then summarizes the calibration method of the heat source parameters, and finally, summarizes three application scenarios of the combined heat source model, and points out that the application of computer technology should be strengthened in the model design and parameter adjustment in the future.
徐洲, 李晓延, 王小鹏, 王海东. 组合热源模型在焊接模拟中的应用现状与展望[J]. 材料导报, 2022, 36(6): 20070081-6.
XU Zhou, LI Xiaoyan, WANG Xiaopeng, WANG Haidong. Application Status and Prospect of Combined Heat Source Model in Welding Simulation. Materials Reports, 2022, 36(6): 20070081-6.
1 She L B, Wei Y H, Wang S G, et al. Materials Research Express, 2018, 6(2), 26567. 2 Wang X P, Li X Y, Wu Q, et al. Materials Reports B:Research Papers, 2020, 34(10), 20081 (in Chinese). 王小鹏,李晓延,吴奇,等.材料导报:研究篇, 2020, 34(10), 20081. 3 Huang B S, Chen Q, Yang J, et al. Transactions of the China Welding Institution, 2019, 40(2), 138 (in Chinese). 黄本生,陈权,杨江,等.焊接学报, 2019, 40(2), 138. 4 Wu C S.Welding thermal process and molten pool dynamic, Mechanical Industry Press, China, 2007, pp.16 (in Chinese). 武传松.焊接热过程与熔池形态, 机械工业出版社, 2007, pp.16. 5 Zheng Z T, Lyu H M, Zhang K, et al. Welding, 2008, 418(4), 3 (in Chinese). 郑振太,吕会敏,张凯,等.焊接, 2008, 418(4), 3. 6 Huang Y F, Luo Z, Wang Z M, et al. Transactions of the China Welding Institution, 2017, 38(11), 104 (in Chinese). 黄逸飞,罗震,王证茗,等.焊接学报, 2017, 38(11), 104. 7 Mo C L, Qian B N, Guo X M, et al.Transactions of the China Welding Institution, 2001, 22(3), 93 (in Chinese). 莫春立,钱百年,国旭明,等.焊接学报, 2001, 22(3), 93. 8 Zhang Q Q. Study on numerical simulation of temperature field and improvement plan in laser deep welding aluminum alloy.Master's Thesis, Nanchang University, China, 2017 (in Chinese). 张奇奇. 铝合金激光深熔焊温度场数值模拟及改善方案研究.硕士学位论文, 南昌大学, 2017. 9 Wang J Q. Research on regulation method of welding distortion and resi-dual stress for large shell structure.Ph.D. Thesis, Beijing Jiaotong University, China, 2016 (in Chinese). 王军强. 大型壳体结构焊接变形及残余应力调控方法研究.博士学位论文, 北京交通大学, 2016. 10 Gu J C, Tong L G, Li L, et al.Materials Reports A:Review Papers, 2014, 28(1), 143 (in Chinese). 谷京晨,童莉葛,黎磊,等.材料导报:综述篇, 2014, 28(1), 143. 11 Zhang Y H.Welding mechanics and the principle of structure integrity, Beihang University Press, China, 2007,pp.80 (in Chinese). 张彦华.焊接力学与结构完整性原理, 北京航空航天大学出版社, 2007, pp.80. 12 Gai D Y, Zhu Y Z, Li Q F, et al. Transactions of the China Welding Institution, 2009, 30(5), 61 (in Chinese). 盖登宇,褚元召,李庆芬,等.焊接学报, 2009, 30(5), 61. 13 Chukkan J R, Vasudevan M, Muthukumaran S, et al.Journal of Materials Processing Technology, 2015, 219, 48. 14 Li Z J. Research of temperature and residual stress fields of weld joint based on simulation with SYSWELD. Master's Thesis, Beijing Jiaotong University, China, 2010 (in Chinese). 李振江. 基于SYSWELD的焊接接头温度场和残余应力场研究.硕士学位论文, 北京交通大学, 2010. 15 Dai W H, Song Y T, Xin J J, et al. Fusion Engineering and Design, 2020, 154,1. 16 Wang Q B. Research on flow field of invar steel molten pool by laser-MIG hybrid welding. Master's Thesis, Nanjing University of Aeronautics and Astronautics, China, 2016 (in Chinese). 汪奇兵. Invar钢激光-MIG复合焊接熔池流场形态研究.硕士学位论文, 南京航空航天大学, 2016. 17 Yang Y. Microstructure and properties of laser MIG hybrid welding and MIG welding joint of 6009 aluminum alloy and numerical simulation of temperature field. Master's Thesis, Southwest Petroleum University, China, 2016 (in Chinese). 杨阳. 6009铝合金激光-MIG复合焊与MIG焊接头组织性能研究及温度场数值模拟.硕士学位论文, 西南石油大学, 2016. 18 Xia P Y. Numerical simulation of temperature and stress field in fibre laser keyhole welding orienting prediction of weld shape.Master's Thesis, Huazhong University of Science and Technology, China, 2012 (in Chinese). 夏佩云. 面向焊缝形貌预测的光纤激光深熔焊温度场及应力场数值模拟.硕士学位论文,华中科技大学, 2012. 19 Tian W T. The research of experiment and numerical simulation for fiber laser welding 304 austenitic stainless steel thin sheet.Master's Thesis, China University of Mining and Technology, China, 2016 (in Chinese). 田文腾. 304奥氏体不锈钢薄板光纤激光焊接试验及数值模拟研究.硕士学位论文, 中国矿业大学, 2016. 20 Liu J P. Research on the properties and deformation control of thick 2A12 aluminum alloy electron beam welded joints.Master's Thesis, Harbin Institute of Technology, China, 2018 (in Chinese). 柳峻鹏. 2A12厚板铝合金电子束焊接接头性能及变形控制研究.硕士学位论文, 哈尔滨工业大学, 2018. 21 Shen X L, Gao, K, Dong S J. The International Journal of Advanced Manufacturing Technology, 2020, 107(9), 3956. 22 Zeng Z, Wang L J, Wang Y, et al. Computational Materials Science, 2009, 44(4), 1153. 23 Li P L. Study on the simulation of multi-wire submerged arc welding heat source model and appearance of weld.Master's Thesis, Shanghai Jiao Tong University, China, 2012 (in Chinese). 李培麟. 多丝埋弧焊热源模型与焊缝成形的模拟研究.硕士学位论文, 上海交通大学, 2012. 24 Qin G, Su Y, Meng X, et al.International Journal of Advanced Manufacturing Technology, 2015, 78(9), 1917. 25 Chen S, Wu Y F, Li Y, et al. Optics and Laser Technology, 2020, 132, 5. 26 Chen S Y, Liu Z M, Zhao X C, et al. International Journal of Heat & Mass Transfer, 2019, 143, 3. 27 Gou J C, Mi N, Kou Y Z, et al.Journal of Longdong University, 2017, 28(3), 28 (in Chinese). 郭晋昌,弥宁,寇元哲,等.陇东学院学报, 2017, 28(3), 28. 28 Zhou S J, Bu H C, Gao Q Y, et al. Modern Physics Letters B, 2019, 33(32), 5. 29 Chandrasekhar N, Ragavendran M, Vasudevan M. Journal of the Brazi-lian Society of Mechanical Sciences and Engineering, 2020, 42(10), 4. 30 Wang X P. Research on Ar gas shielded scan laser-CMT arc hybrid wel-ding technology of stainless steel.Master's Thesis, China Academy of Machinery Science and Technology, China, 2012 (in Chinese). 王小朋. 不锈钢纯Ar保护激光扫描-CMT复合焊接研究.硕士学位论文, 机械科学研究总院, 2012. 31 Saternus Z, Piekarska W, Kubiak M, et al.Procedia Engineering, 2016, 136, 95. 32 Zhang D, Wei Y, Zhan X, et al.International Journal of Numerical Met-hods for Heat & Fluid Flow, 2018, 28(9), 1974. 33 Gu Y, Li Y D, Yong Y, et al.Springer Berlin Heidelberg, 2019, 63(2), 365. 34 Zhu Z M, Fu P P, Yang Z Y, et al. Chinese Journal of Engineering, 2018, 40(4), 389 (in Chinese). 朱志明,符平坡,杨中宇,等.工程科学学报, 2018, 40(4), 389. 35 Gou G F, Wang Y, Han T, et al. Pressure Vessel Technology, 2013, 30(1), 6 (in Chinese). 郭广飞,王勇,韩涛,等.压力容器, 2013, 30(1), 6. 36 Sun G F, Wang Z D, Lu Y, et al. Journal of Manufacturing Processes, 2018, 34, 110. 37 Han X H, Chen J, Kan Y, et al. Chinese Journal of Lasers, 2017, 44(5), 89 (in Chinese). 韩晓辉,陈静,阚盈,等.中国激光, 2017, 44(5), 89. 38 Dupont J N, Marder A R.Welding Journal, 1995, 74(12), 406. 39 Wang Y, Tsai H L.International Journal of Heat & Mass Transfer, 2001, 44(11), 2067. 40 Wang F, Hou W K, Hu S J, et al. Journal of Physics D Applied Physics, 2003, 36(9), 1142. 41 Zheng Z, Shan P, Hu S, et al.China Welding (English Edition), 2006, 15(4), 55. 42 Lu F, Wang H P, Murphy A B, et al.International Journal of Heat & Mass Transfer, 2014, 68(Jan.), 215. 43 Wang L Y. Numerical analysis of fluid flow during pulse MIG brazing-fusion welding of aluminum alloy to steel. Master's Thesis, Shandong University, China, 2016 (in Chinese). 王丽媛. 铝合金/钢脉冲MIG电弧熔—钎焊熔池流场数值分析. 硕士学位论文, 山东大学, 2016. 44 Sun Z, Han Y, Du M, et al.Journal of Manufacturing Processes, 2018, 34(AUG), 688. 45 Zhang X H, Chen J Q, Chen H, et al.Transactions of the China Welding Institution, 2018, 39(1), 17 (in Chinese). 张晓鸿,陈静青,陈辉.焊接学报, 2018, 39(1), 17. 46 Jiang P Y. Study on the residual stress of 2219 aluminum alloy TIG and FSW welding. Master's Thesis, Harbin Institute of Technology, China, 2017 (in Chinese). 姜丕洋. 2219铝合金TIG焊及FSW焊残余应力研究.硕士学位论文, 哈尔滨工业大学, 2017. 47 Chen Y, Han J M,Li Z Q, et al. Inverse Problems in Science and Engineering, 2014, 22(6), 1009.
渝公网安备50019002502923号 版权所有：《材料导报》编辑部
2022, Vol. 36 
