Simulation and validation of residual stress in electron beam welding and heat treatment of high-temperature alloys
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摘要:
为了揭示高温合金电子束焊接及热处理后残余应力分布规律,开展了电子束焊接和焊后热处理过程残余应力场模拟及试验研究。采用双椭球体与锥形体组合的热源模型来模拟焊接过程中电子束的热输入,模拟熔池形貌与实际焊接熔池形貌相吻合;模拟得到的接头残余应力沿焊缝中心向两侧呈“M”形双峰状对称分布,距焊缝中心线约3 mm处达到残余拉应力峰值268 MPa。基于ABAQUS UMAT子程序开发了考虑固态相变的热处理模拟方法,以模拟热处理后残余应力分布,结果表明:热处理后焊板残余拉应力峰值降低了48%,而峰值所在位置未发生改变。进而采用XRD法开展了实际焊板焊后及热处理后残余应力测量试验,与模拟结果对比表明:模拟得到的焊缝附近残余应力分布规律与试验结果较为一致,且焊接残余应力模拟峰值误差不超过3%而热处理后模拟峰值误差不超过11%,验证了模拟方法的有效性。
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关键词:
- 电子束焊接(EBW) /
- 焊后热处理(PWHT) /
- 残余应力 /
- X射线衍射(XRD) /
- 相变
Abstract:To reveal the distribution pattern of residual stress in high-temperature alloys after electron beam welding and heat treatment, simulation and experimental research of the residual stress field during the electron beam welding and subsequent heat treatment process were conducted. A dual ellipsoidal and conical heat source model was used to simulate the thermal input of the electron beam during welding, which matched well with the actual weld pool morphology. The simulated residual stress in the joint exhibited a symmetrical “M”-shaped double-peak distribution along the weld center, with a maximum residual tensile stress of 268 MPa occurring approximately 3 mm from the weld centerline. Based on an ABAQUS UMAT subroutine, a heat treatment simulation method considering solid-phase transformations was developed to simulate the residual stress distribution after heat treatment. The results indicated that the peak residual tensile stress in the welded plate decreased by 48% after heat treatment, while the location of the peak remained unchanged. Furthermore, XRD measurements were conducted on the actual welded plates after welding and heat treatment. A comparison with the simulation results showed that the distribution pattern of residual stress near the weld matched well with the experimental results, with a simulation peak error of no more than 3% for welding residual stress and no more than 11% for post-heat treatment residual stress, thereby validating the effectiveness of the simulation method.
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表 1 EBW工艺参数
Table 1. EBW process parameters
参数 数值 加速电压V/kV 80 电子束流I/mA 35 焊接速度v/(cm/min) 112 初始电流Fo/mA 423 聚焦电流Fb/mA 418 真空度/10−3 Pa 7 表 2 GH4169材料属性
Table 2. Properties of GH4169 material
参数 t/℃ 20 100 300 500 900 1200 比热容c/(J/(kg·℃)) 437 502 546 730 798 膨胀系数α/10−6 ℃−1 13.2 13.8 14.6 18.4 热导率κ/(W/(m·℃)) 13.4 14.65 17.59 20.10 25.96 泊松比μ 0.3 0.3 0.3 0.31 0.34 0.38 弹性模量E/GPa 205 201 189 176 1 屈服强度σs/MPa 685 670 520 263 表 3 热源模型参数
Table 3. Parameters of the heat source model
参数 数值 ar/mm 2 af/mm 1 b/mm 1.4 re/mm 0.6 ri/mm 0.5 η 0.85 -
[1] XU Jian, GUO Yang, CHENG Hailong, et al. Investigation on residual stress, microstructure, and properties of the electron beam welded Haynes 230-based thin-walled piece[J]. Welding in the World, 2024, 68(12): 3129-3140. doi: 10.1007/s40194-024-01832-3 [2] 贺笃鹏, 张占英, 杨丽, 等. 航空发动机机匣电子束焊接变形模拟分析与优化[J]. 航空动力学报, 2021, 36(6): 1263-1272. HE Dupeng, ZHANG Zhanying, YANG Li, et al. Simulation analysis and optimization of distortion in electron beam welding of aircraft engine casings[J]. Journal of Aerospace Power, 2021, 36(6): 1263-1272. (in ChineseHE Dupeng, ZHANG Zhanying, YANG Li, et al. Simulation analysis and optimization of distortion in electron beam welding of aircraft engine casings[J]. Journal of Aerospace Power, 2021, 36(6): 1263-1272. (in Chinese) [3] WANG Le, QIAN Xudong, FENG Liuyang. Effect of welding residual stresses on the fatigue life assessment of welded connections[J]. International Journal of Fatigue, 2024, 189: 108570. doi: 10.1016/j.ijfatigue.2024.108570 [4] 徐加俊, 黄禹, 王璐, 等. 基于粒子群算法确定热源参数的EH40/316L高功率激光焊接温度场模拟[J]. 焊接学报, 2024, 45(1): 31-39, 131. XU Jiajun, HUANG Yu, WANG Lu, et al. Simulation of temperature field in high-power laser welding of EH40/316L based on particle swarm optimization for heat source parameters[J]. Journal of Welding, 2024, 45(1): 31-39, 131. (in ChineseXU Jiajun, HUANG Yu, WANG Lu, et al. Simulation of temperature field in high-power laser welding of EH40/316L based on particle swarm optimization for heat source parameters[J]. Journal of Welding, 2024, 45(1): 31-39, 131. (in Chinese) [5] 罗怡, 刘金合, 叶宏, 等. AZ61镁合金真空电子束焊接温度场数值模拟[J]. 焊接学报, 2009, 30(3): 73-76, 117. LUO Yi, LIU Jinhe, YE Hong, et al. Numerical simulation of temperature field in vacuum electron beam welding of AZ61 magnesium alloy[J]. Journal of Welding, 2009, 30(3): 73-76, 117. (in ChineseLUO Yi, LIU Jinhe, YE Hong, et al. Numerical simulation of temperature field in vacuum electron beam welding of AZ61 magnesium alloy[J]. Journal of Welding, 2009, 30(3): 73-76, 117. (in Chinese) [6] PETROV P, TONGOV M. Numerical modelling of heat source during electron beam welding[J]. Vacuum, 2020, 171: 108991. doi: 10.1016/j.vacuum.2019.108991 [7] SHE Lvbo, WEI Yanhong, WANG Shaogang, et al. Welding parameter optimization of electron beam welded GH4169 superalloy based on orthogonal experiment and numerical simulation[J]. Materials Research Express, 2018, 6(2): 026567. doi: 10.1088/2053-1591/aaf18f [8] 高双胜, 肖翰林, 杨烁, 等. GH4169合金扫描波形对电子束焊温度场的影响[J]. 热加工工艺, 2016, 45(11): 242-244. GAO Shuangsheng, XIAO Hanlin, YANG Shuo, et al. Effect of scanning waveform on the temperature field of electron beam welding of GH4169 alloy[J]. Hot Working Technology, 2016, 45(11): 242-244. (in ChineseGAO Shuangsheng, XIAO Hanlin, YANG Shuo, et al. Effect of scanning waveform on the temperature field of electron beam welding of GH4169 alloy[J]. Hot Working Technology, 2016, 45(11): 242-244. (in Chinese) [9] PATEL V, SALI A, HYDER J, et al. Electron beam welding of inconel 718[J]. Procedia Manufacturing, 2020, 48: 428-435. doi: 10.1016/j.promfg.2020.05.065 [10] 李燕乐, 潘忠涛, 戚小霞, 等. 热处理工艺对激光熔覆316L温度场与应力场的影响规律[J]. 中国机械工程, 2024, 35(4): 666-677. LI Yanle, PAN Zhongtao, QI Xiaoxia, et al. The influence of heat treatment process on the temperature field and stress field in laser cladding of 316L[J]. China Mechanical Engineering, 2024, 35(4): 666-677. (in ChineseLI Yanle, PAN Zhongtao, QI Xiaoxia, et al. The influence of heat treatment process on the temperature field and stress field in laser cladding of 316L[J]. China Mechanical Engineering, 2024, 35(4): 666-677. (in Chinese) [11] 余磊, 王景胜, 李典来, 等. 焊接转子热处理过程中残余应力释放行为数值研究[J]. 船舶工程, 2018, 40(10): 99-105. YU Lei, WANG Jingsheng, LI Dianlai, et al. Numerical study of residual stress release behavior during heat treatment of welded rotors[J]. Ship Engineering, 2018, 40(10): 99-10. (in ChineseYU Lei, WANG Jingsheng, LI Dianlai, et al. Numerical study of residual stress release behavior during heat treatment of welded rotors[J]. Ship Engineering, 2018, 40(10): 99-10. (in Chinese) [12] 张清东, 林潇, 刘吉阳, 等. Q&P钢热处理过程有限元法数值模拟模型研究[J]. 金属学报, 2019, 55(12): 1569-1580. ZHANG Qingdong, LIN Xiao, LIU Jiyang, et al. Finite element method numerical simulation model study of the heat treatment process of Q&P steel[J]. Acta Metallurgica Sinica, 2019, 55(12): 1569-1580. (in Chinese doi: 10.11900/0412.1961.2019.00082ZHANG Qingdong, LIN Xiao, LIU Jiyang, et al. Finite element method numerical simulation model study of the heat treatment process of Q&P steel[J]. Acta Metallurgica Sinica, 2019, 55(12): 1569-1580. (in Chinese) doi: 10.11900/0412.1961.2019.00082 [13] GOLDAK J, CHAKRAVARTI A, BIBBY M. A new finite element model for welding heat sources[J]. Metallurgical Transactions B, 1984, 15(2): 299-305. doi: 10.1007/BF02667333 [14] 张晨阳. 35CrMo钢电子束表面淬火数值模拟及实验研究[D]. 广西 桂林: 桂林电子科技大学, 2022. ZHANG Chenyang. Numerical simulation and experimental study of electron beam surface quenching of 35CrMo steel [D]. Guilin Guangxi: Guilin University of Electronic Technology, 2022. (in ChineseZHANG Chenyang. Numerical simulation and experimental study of electron beam surface quenching of 35CrMo steel [D]. Guilin Guangxi: Guilin University of Electronic Technology, 2022. (in Chinese) [15] LEBLOND J B, DEVAUX J, DEVAUX J C. Mathematical modelling of transformation plasticity in steels: Ⅰ case of ideal-plastic phases[J]. International Journal of Plasticity, 1989, 5(6): 551-572. doi: 10.1016/0749-6419(89)90001-6 [16] 陈俊杰. GH4169合金热处理残余应力演化的实验及模拟研究[D]. 哈尔滨: 哈尔滨工业大学, 2019. CHEN Junjie. Experimental and simulation study on the evolution of residual stress in gh4169 alloy during heat treatment [D]. Harbin: Harbin Institute of Technology, 2019. (in ChineseCHEN Junjie. Experimental and simulation study on the evolution of residual stress in gh4169 alloy during heat treatment [D]. Harbin: Harbin Institute of Technology, 2019. (in Chinese) [17] 王苹, 刘永, 李大用, 等. 固态相变对10Ni5CrMoV钢焊接残余应力的影响[J]. 焊接学报, 2017, 38(5): 125-128, 134. WANG Ping, LIU Yong, LI Dayong, et al. The effect of solid-state phase change on residual stress in welded 10Ni5CrMoV steel[J]. Journal of Welding, 2017, 38(5): 125-128, 134. (in ChineseWANG Ping, LIU Yong, LI Dayong, et al. The effect of solid-state phase change on residual stress in welded 10Ni5CrMoV steel[J]. Journal of Welding, 2017, 38(5): 125-128, 134. (in Chinese) [18] LI Zhicao, FERGUSON, B L. Computer modeling and validations of steel gear heat treatment processes using commercial software DANTE[J]. Journal of Shanghai Jiaotong University (Science), 2011, 16(2): 152-156. doi: 10.1007/s12204-011-1117-4 [19] BORJESSON L, LINDGREN L E. Simulation of multipass welding with simultaneous computation of material properties[J]. Journal of Engineering Materials and Technology, 2001, 123(1): 106-111. doi: 10.1115/1.1310307 [20] VINCENT Y, JULLIEN J F, GILLES P. Thermo-mechanical consequences of phase transformations in the heat-affected zone using a cyclic uniaxial test[J]. International Journal of Solids and Structures, 2005, 42(14): 4077-4098. doi: 10.1016/j.ijsolstr.2004.11.018 [21] WILSON L G, ELLIS D L, YOUNG-DOHE E J, et al. XRD-based residual stress measurement of cold sprayed Ni coating[J]. Journal of Materials Engineering and Performance, 2024, 33(15): 7806-7811. doi: 10.1007/s11665-024-09817-5 [22] WANG Le, QIAN Xudong. Evolution of welding residual stresses during cyclic tests in welded tubular joints[J]. Journal of Constructional Steel Research, 2024, 216: 108598. doi: 10.1016/j.jcsr.2024.108598 -

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