钛合金表面激光熔覆Ni60A合金涂层熔凝行为的数值模拟与试验验证

doi:10.13251/j.issn.0254-6051.2024.04.038

金属热处理 ›› 2024, Vol. 49 ›› Issue (4): 237-243.DOI: 10.13251/j.issn.0254-6051.2024.04.038

钛合金表面激光熔覆Ni60A合金涂层熔凝行为的数值模拟与试验验证

龚玉玲¹, 龚非², 陈林³, 徐晓栋¹, 钟奕慧¹, 黄云超¹

1.泰州学院机电工程学院, 江苏泰州 225300;
2.南京航天工业科技有限公司, 江苏南京 210000;
3.江苏恒力制动器制造有限公司, 江苏靖江 214500

收稿日期:2023-10-24 修回日期:2024-03-08 出版日期:2024-04-25 发布日期:2024-05-27
作者简介:龚玉玲(1978—),女,副教授,博士,主要研究方向为激光熔覆增材制造,E-mail:79043638@qq.com
基金资助:
江苏省教育科学“十三五”规划(C-a/2018/01/04);泰州市科技局社会发展项目(TS202234);泰州学院2022年度“课程思政”示范建设项目(22KCSZ10);泰州学院高层次人才科研启动基金(TZXY2023QDJJ)

Numerical simulation and experimental verification on melting behavior of Ni60A alloy coating on titanium alloy by laser cladding

Gong Yuling¹, Gong Fei², Chen Lin³, Xu Xiaodong¹, Zhong Yihui¹, Huang Yunchao¹

1. School of Mechatronic Engineering, Taizhou University, Taizhou Jiangsu 225300, China;
2. Nanjing Aerospace Industry Science & Technology Co., Ltd., Nanjing Jiangsu 210000, China;
3. Jiangsu Hengli Brake Manufacturing Co., Ltd., Jingjiang Jiangsu 214500, China

Received:2023-10-24 Revised:2024-03-08 Online:2024-04-25 Published:2024-05-27

摘要/Abstract

摘要： 为了准确预测同轴送粉激光熔覆过程中熔覆层的几何形貌和动态熔凝行为,利用COMSOL Multiphysics^软件建立了Ti6Al4V合金表面激光熔覆Ni60A合金涂层过程中多相耦合数值模型,并通过单道激光熔覆试验进行了验证。结果表明,模拟结果与试验实际测量的熔覆层截面宽度、高度、深度及稀释率的偏差率分别为-2.63%、12.19%、4.55%和-1.94%,初步验证了模型预测几何形貌的可靠性。另外,为了探究Ni60A合金涂层的熔凝行为,通过模拟进一步获取了熔池内的温度梯度G和凝固速率R的分布图,并结合熔覆层SEM观察表征,建立了晶粒特性与凝固参数之间的关系,发现晶粒类型(平面晶、柱状晶和等轴晶)主要受温度梯度和凝固界面过冷度的影响,而晶粒尺寸主要受凝固速率控制。

关键词: 激光熔覆, Ni60A合金涂层, 几何形貌, 凝固参数, 晶粒

Abstract: In order to accurately predict the geometric morphology and dynamic melting behavior of the clad layer during coaxial powder feeding laser cladding, a multi physical field coupled numerical model for the laser cladding of Ni60A alloy coating on Ti6Al4V alloy surface was proposed by using COMSOL Multiphysics^ software and verified by single laser cladding test. The results indicate that the deviation rates between simulation results and experimental measurements in the cross-sectional width, height, depth and dilution ratio of the clad layer are -2.63%, 12.19%, 4.55% and -1.94%, respectively, which preliminarily verifies the reliability of its prediction of geometric morphologies. Besides, in order to investigate the melting behavior of the Ni60A alloy coating, the distribution maps of temperature gradient G and solidification rate R in the molten pool were further obtained by the simulation, and combined with SEM observation and characterization, the relationship between grain characteristics and solidification parameters was established. It is found that the types of grains (planar, columnar and equiaxed) are mainly influenced by temperature gradients and undercooling at the solidification interface, while the grain sizes are mainly controlled by the solidification rate.

Key words: laser cladding, Ni60A alloy coating, geometric morphology, solidification parameter, grain

中图分类号:

TG174.4

龚玉玲, 龚非, 陈林, 徐晓栋, 钟奕慧, 黄云超. 钛合金表面激光熔覆Ni60A合金涂层熔凝行为的数值模拟与试验验证[J]. 金属热处理, 2024, 49(4): 237-243.

Gong Yuling, Gong Fei, Chen Lin, Xu Xiaodong, Zhong Yihui, Huang Yunchao. Numerical simulation and experimental verification on melting behavior of Ni60A alloy coating on titanium alloy by laser cladding[J]. Heat Treatment of Metals, 2024, 49(4): 237-243.

参考文献

[1]OkulovI V, Volegov A S, Attar H, et al. Composition optimization of low modulus and high-strength TiNb-based alloys for biomedical applications[J]. Journal of the Mechanical Behavior of Biomedical Materials, 2017, 65: 866-871.
[2]梁广冰, 朱锦洪, 尹丹青, 等. TC4 钛合金激光熔覆路径选择数值模拟研究[J]. 河南科技大学学报(自然科学版), 2021, 42(6): 12-18.
Liang Guangbing, Zhu Jinhong, Yin Danqing, et al. Numerical simulation of laser cladding path selection for TC4 titanium alloy[J]Journal of Henan University of Science and Technology (Natural Science), 2021, 42(6): 12-18.
[3]Guo C, Zhou J S, Chen J M, et al. Improvement of the oxidation and wear resistance of pure Ti by laser cladding at elevated temperature[J]. Surface and Coatings Technology, 2010, 205(7): 2142-2151.
[4]龚玉玲, 武美萍, 缪小进, 等. 扫描速度对激光熔覆CeO₂/Ni60A涂层耐腐蚀性能的影响[J]. 材料导报, 2022, 36(18): 159-163.
Gong Yuling, Wu Meiping, Miao Xiaojin, et al. Effect of scanning speed on corrosion resistance of CeO₂/Ni60A coating prepared by laser cladding[J]. Materials Reports, 2022, 36(18): 159-163.
[5]Yong Y W, Fu W, Deng Q L, et al. A comparative study of vision detection and numerical simulation for laser cladding of nickel-based alloy[J]. Journal of Manufacturing Processes, 2017, 28: 364-372.
[6]龚玉玲, 武美萍, 崔宸, 等. 搭接率对TC4表面Ni60A熔覆层组织性能的影响[J]. 金属热处理, 2021, 46(9): 229-233.
Gong Yuling, Wu Meiping, Cui Chen, et al. Effect of overlap rate on microstructure and properties of Ni60A clad coating onTC4 titanium alloy[J]. Heat Treatment of Metals, 2021, 46(9): 229-233.
[7]Sun G F, Zhang Y K, Liu C S, et al. Microstructure and wear resistance enhancement of cast steel rolls by laser surface alloying NiCr-Cr₃C₂[J]. Materials and Design, 2010, 31(6): 2737-2744.
[8]张蕾涛, 张红星, 刘德鑫, 等. 激光熔覆复合涂层裂纹产生原因及控制研究进展[J]. 金属热处理, 2020, 45(8): 233-239.
Zhang Leitao, Zhang Hongxing, Liu Dexin, et al. Research progress on the causes and control of cracks in laser cladding composite coatings[J]. Heat Treatment of Metals, 2020, 45(8): 233-239.
[9]张冬云, 吴瑞, 张晖峰, 等. 激光金属熔覆成形过程中温度场演化的三维数值模拟[J]. 中国激光, 2015, 42(5): 112-123.
Zhang Dongyun, Wu Rui, Zhang Huifeng, et al. Numerical simulation of temperature field evolution in the process of laser metal deposition[J]. Chinese Journal of Lasers, 2015, 42(5): 112-123.
[10]Javid Y, Ghoreishi M. Thermo-mechanical analysis in pulsed laser cladding of WC powder on Inconel 718[J]. International Journal of Advanced Manufacturing Technology, 2017, 92(1/4): 69-79.
[11]Wang C Y, Zhou J Z, Zhang T, et al. Numerical simulation and solidification characteristics for laser cladding of Inconel 718[J]. Optics and Laser Technology, 2022, 149: 107843.
[12]Tamanna N, Crouch R, Naher S. Progress in numerical simulation of the laser cladding process[J]. Optics and Lasers in Engineering, 2019, 122: 151-163.
[13]赵明娟, 李宝星, 吴涛, 等. 基于热-流耦合模型研究激光熔覆速度场影响机制[J]. 华东交通大学学报, 2022, 39(4): 74-83.
Zhao Mingjuan, Li Baoxing, Wu Tao, et al. Study on the effect mechanism of laser cladding velocity field based on thermal-fluid coupling model[J]. Journal of East China Jiaotong University, 2022, 39(4): 74-83.
[14]Li C, Yu Z B, Gao J X, et al. Numerical simulation and experimental study of cladding Fe60 on an ASTM 1045 substrate by laser cladding[J]. Surface and Coatings Technology, 2019, 357: 965-977.
[15]王世清, 史冰园, 金峰. TC4 钛合金激光熔覆高熵合金的温度场数值模拟[J]. 热加工工艺, 2023, 52(8): 121-124.
Wang Shiqing, Shi Bingyuan, Jin Feng, et al. Numerical simulation on temperature field of high-entropy alloy by laser cladding on TC4 titanium alloy[J]. Hot Working Technology, 2023, 52(8): 121-124.
[16]Gan Z T, Liu H, Li S X, et al. Modeling of thermal behavior and mass transport in multi-layer laser additive manufacturing of Ni-based alloy on cast iron[J]. International Journal of Heat and Mass Transfer, 2017, 111: 709-722.
[17]Chen L Y, Zhao Y, Song B X, et al. Modeling and simulation of 3D geometry prediction and dynamic solidification behavior of Fe-based coatings by laser cladding[J]. Optics and Laser Technology, 2021, 139: 107009.
[18]Chen L Y, Yu T B, Xu P F, et al. In-situ NbC reinforced Fe-based coating by laser cladding: Simulation and experiment[J]. Surface and Coatings Technology, 2021, 412: 127027.
[19]Song J, Chew Y X, Bi G J, et al. Numerical and experimental study of laser aided additive manufacturing for melt-pool profile and grain orientation analysis[J]. Materials and Design, 2018, 137: 286-297.
[20]Zinovieva O, Zinoviev A, Romanova V, et al. Three-dimensional analysis of grain structure and texture of additively manufactured 316L austenitic stainless steel[J]. Additive Manufacturing, 2020, 36: 101521.

钛合金表面激光熔覆Ni60A合金涂层熔凝行为的数值模拟与试验验证

Numerical simulation and experimental verification on melting behavior of Ni60A alloy coating on titanium alloy by laser cladding

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价

[1]	林锡悦, 李贤君, 巫小林, 董承智, 贾巍, 刘文斌, 徐兵权, 杨杰. 不同固溶制度对2219铝合金晶粒生长的影响[J]. 金属热处理, 2024, 49(4): 157-161.
[2]	贾晓斌, 秦瑞廷, 涂明金, 李媛媛, 胡永平, 周仲成. 挤压316H奥氏体不锈钢大口径管材的晶粒度控制[J]. 金属热处理, 2024, 49(4): 168-174.
[3]	王树梁, 王春光, 李爱菊, 王雪兆. 固溶工艺对Mg-7.5Gd-3Y-0.5Zr合金微观组织及动态冲击行为的影响[J]. 金属热处理, 2024, 49(4): 186-194.
[4]	任维泽, 段绪星, 裴泽宇, 陈青, 赵子锐. 激光熔覆钴基合金研究进展及其在核领域的应用展望[J]. 金属热处理, 2024, 49(4): 264-273.
[5]	张瑞, 唐恩, 袁清, 任杰, 莫家璇. 快速退火对冷轧超低碳钢组织和性能的影响[J]. 金属热处理, 2024, 49(3): 116-121.
[6]	赵忠超, 唐和壮, 曹善鹏, 孙有政. 晶粒组织对Al-Cu合金应力腐蚀开裂行为及导电率的影响[J]. 金属热处理, 2024, 49(3): 244-250.
[7]	李荣斌, 宗在康, 张志玺, 张如林. 硅对铸态CoCrFeMnNi高熵合金组织及性能的影响[J]. 金属热处理, 2024, 49(2): 45-52.
[8]	张九鑫, 任潇健, 金东正, 田勇. 变形量对EH47止裂钢组织和显微硬度的影响[J]. 金属热处理, 2024, 49(2): 128-134.
[9]	李云峰, 王嘉圣, 石岩, 姜广君, 唐术锋, 何晓东. 载气流量对激光熔覆添加Y₂O₃的镍基涂层组织和耐腐蚀性的影响[J]. 金属热处理, 2024, 49(2): 281-290.
[10]	原海瑞, 陈玉波, 王培杰, 李振江. 40Cr/Q345B双金属复合行为及界面组织演变[J]. 金属热处理, 2024, 49(1): 90-95.
[11]	宋明强, 王贺, 宋晶晶, 刘松锋. X19CrMoVNbN11-1叶片钢的晶粒长大行为[J]. 金属热处理, 2024, 49(1): 108-112.
[12]	郑道友, 张瑞, 唐恩. Nb元素对汽车渗碳齿轮用20CrMnTi钢热处理过程中晶粒粗化的影响[J]. 金属热处理, 2024, 49(1): 113-118.
[13]	许双辉, 何国爱. 退火温度对铝钛强韧的CrCoNi中熵合金组织与性能的影响[J]. 金属热处理, 2024, 49(1): 142-147.
[14]	黄元春, 马尚坤, 刘宇, 严积珺, 吴镇力. Gd含量对3003铝合金微观组织及导电率的影响[J]. 金属热处理, 2023, 48(9): 129-135.
[15]	邬冬生, 邓伟, 文辉, 于良机, 李凯昕, 王福明. 钒含量对时速350 km高铁制动盘用Cr-Mo-V钢奥氏体晶粒长大的影响[J]. 金属热处理, 2023, 48(9): 136-142.