期刊文献+

Ni/304SS激光传导焊接中Fe元素分布的参数化研究 被引量:1

Parametric Study of Fe Element Distribution in Laser Conduction Welding of Ni/304SS
原文传递
导出
摘要 通过耦合温度场、熔池流场、多组分浓度场建立三维数值模型,并结合正交参数设计与极差分析研究了工艺参数对Ni/304SS激光传导焊接中接头元素重分布的影响。以Fe元素为研究对象,量纲分析结果表明,焊接过程中合金元素的输运机制由熔池对流主导。用流入Ni侧的Fe元素平均含量表征熔池中的元素分布情况,设计了L25(53)正交模拟实验,并通过极差分析研究工艺参数的相对重要性。结果表明,扫描速度的极差为9.45%,光斑偏移量的极差为9.17%,功率的极差为1.11%。流入Ni侧的Fe元素平均质量分数与扫描速度负相关,与偏移量正相关。此外,适当降低扫描速度并将光斑向304SS侧偏移有利于Fe元素的稀释,使其分布更均匀。 Objective Due to the superior corrosion resistance of Ni and the good hot workability as well as low cost of 304SS,Ni and 304SS joints have been widely used in various industries,such as petrochemical,aerospace,and aviation.Laser welding has the advantages of high precision,high efficiency,and low residual stresses;therefore,it has been considered as a promising joining technology for dissimilar metals.The performance of a welded joint is affected by various factors.One of the most important factors is alloying element mixing within the weld pool(WP).However,processing parameters,such as laser power,scanning speed,and spot offset,can lead to a different element redistribution in the joint.Additionally,the physical mechanisms of element distribution affected by these processing parameters have not been fully investigated.Therefore,this study investigates the element-mixing process within the WP in the laser conduction welding of Ni and 304SS through numerical modeling.The effects of processing parameters on the element distribution in welded joints are investigated.The results show how processing parameters affect dissimilar-metal redistribution and how to obtain a more uniform element distribution with higher dilution by optimizing the process.Methods The transient fluid-flow and element-mixing processes within the WP are difficult to observe directly through experiments.Numerical simulations can be used to predict the dynamic evolution of WP and dissimilar-metal redistribution during laser conduction welding.Therefore,this study develops a numerical model based on the Navier-Stokes equation,coupled with the temperature field,fluid-flow field,and concentration field to analyze the mixing process of the three main alloying elements(Fe,Ni,and Cr).Additionally,the flow characteristics inside the WP are investigated,which are closely correlated to the concentration dilution.The numerical model is validated by comparing the calculated WP profile and distribution of the three alloying element concentrations with the experimental results.Then,the influence of processing parameters on Fe element redistribution in welded joints is analyzed using orthogonal parameter design and range analysis.Additionally,the underlying physical mechanisms of parameters affecting the element distribution are explored based on the model.Results and Discussions The order of magnitude of Peclet number in the transportation of the Fe element is estimated to be 104in the laser welding of dissimilar metals,indicating that convection dominates the mass transfer process.The WP reaches a quasi-steady state for~50ms,and the fluid flow in the back section of the WP in the quasi-steady state facilitates the uniform distribution of elements along the z-axis(Fig.6).Based on orthogonal simulation and range analysis,the range of each level of scanning speed is 9.45%;however,the range of spot offset and laser power is 9.17%and 1.11%,respectively.The scanning speed is negatively related with the average concentration of Fe,whereas the offset is positively correlated with it(Fig.7).The model’s results show that scanning speed affects the dilution of the Fe element by changing the duration of WP(Table 5)and influences the mushy zone size of WP(Fig.8).The offset affects the Fe redistribution by changing the longitudinal flow pattern of WP and the relative position of the cross-sectional branch flow to the joint interface(Fig.9).Conclusions This study establishes a three-dimensional numerical model coupled with the temperature,flow,and multicomponent concentration fields to investigate the WP behavior during the dissimilar welding of Ni and 304SS using laser.The calculated geometry of the fusion zone and the concentration distribution of the main alloying elements(Fe,Ni,and Cr)agree with the corresponding experimental results,verifying the model’s validity.Based on the dimensional analysis,it is found that the transportation of alloy elements is dominated by convection.In the initial stage of WP evolution,the dilution of Fe occurs mainly in the middle section of the WP and tends to stabilize as the WP to reach a quasi-steady state.The WP geometry and velocity show an asymmetric distribution owing to the difference in thermal properties between Ni and 304SS.After WP reaches a quasi-steady state,the fluid flow in the back section of the WP contributes to the uniform distribution of elements along the z-axis.To characterize the element distribution in the WP,the average content of the Fe element flowing into the Ni side is used to design L25(53)orthogonal simulation.The most important factors for the distribution of Fe elements are scanning speed(range R=9.45%),spot offset(R=9.17%),and laser power(R=2.11%).Additionally,the average concentration of Fe element flowing into the Ni side is negatively correlated with scanning speed and positively correlated with offset.It is shown that properly decreasing the scanning speed and shifting the spot toward the 304SS side are beneficial for the full dilution and uniform distribution of Fe elements.
作者 李梓洵 何秀丽 虞钢 田崇鑫 李志永 李少霞 Li Zixun;He Xiuli;Yu Gang;Tian Chongxin;Li Zhiyong;Li Shaoxia(Institute of Mechanics,Chinese Academy of Sciences,Beijing 100190,China;Center of Materials Science and Optoelectronics Engineering,University of Chinese Academy of Sciences,Beijing 100049,China;School of Engineering Science,University of Chinese Academy of Sciences,Beijing 100049,China)
出处 《中国激光》 EI CAS CSCD 北大核心 2021年第18期113-122,共10页 Chinese Journal of Lasers
基金 国家自然科学基金(11672304,11502269) 北京市科技计划(Z181100003818015)。
关键词 激光技术 激光焊接 数值模拟 多物理场模型 元素分布 工艺参数 laser technique laser welding numerical simulation multi-physics model element distribution processing parameter
  • 相关文献

参考文献4

二级参考文献64

  • 1张盛海,陈铠,肖荣诗,左铁钏.填充粉末对铝合金高功率CO_2激光焊接的影响[J].中国激光,2005,32(6):860-863. 被引量:18
  • 2张盛海,陈铠,肖荣诗,李明星,胡治华,左铁钏.铝合金高功率CO_2激光粉末焊接[J].中国激光,2006,33(5):714-718. 被引量:6
  • 3庞铭,虞钢,刘兆,郑彩云,王立新,宁伟健.K418与42CrMo异种金属的激光穿透焊接[J].中国激光,2006,33(8):1122-1126. 被引量:16
  • 4W. W. Duley. Laser Welding[M]. New York: John Wiley Sons, 1999.
  • 5Z. Sun, J. C. Ion, Laser welding of dissimilar metal combinations [J]. Journal of Materials Science Letters, 1995, 30:4205-4214.
  • 6A. F. H. Kaplan. Unbounded keyhole collapse and bubble formation during pulsed laser interaction with liquid zinc[J]. J. Phys. D:Appl. Phys. , ,2002. 35(11): 1218-1228.
  • 7E. M. Anawa, E. M. , A.G. Olabi. Control of welding residual stress for dissimilar laser welded materials [J]. Journal of Materials Processing Technology, 2008,204( 1 3) : 22-33.
  • 8C. Radhakrishna, K. P. Rao. The formation and control of Laves phase in superalloy 718 welds[J] Journal of Materials Science, 1997,32(8) : 1977-1984.
  • 9R. Kaul , P. Ganesh, A. K. Nath Microstructural characterization of dissimilar laser weld between austenitic and ferritic stainless steels [J]. Journal of Laser Applications, 2005,17(1): 21-29.
  • 10E. M. Anawa , A. G. Olabi. Using Taguehi method to optimize welding pool of dissimilar laser welded components[J]. Optics and Laser Technology, ,2008, 40(2): 379-388.

共引文献86

同被引文献8

引证文献1

二级引证文献3

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部