|
|
|
|
|
|
| Original Position Statistic Distribution Analysis （OPA） and Characterization of Components in Titanium Alloy Welding Sample by Laser Induced Breakdown Spectroscopy （LIBS） |
| SHEN Xue-jing1, 2, GUO Fei-fei2, XU Peng2, CUI Fei-peng2, LI Xiao-peng2, LIU Jia1, 2 |
1. Central Iron and Steel Research Institute, Beijing 100081, China
2. NCS Testing Technology Co., Ltd., Beijing 100081, China |
|
|
|
|
Abstract Titanium alloys have been used in many fields such as aerospace, marine, biomedicine, etc. due to their high strength, good corrosion resistance, and high heat resistance. Due to the heat resistance, strength, plasticity, toughness, formability, weldability, corrosion resistance and biological phase of Ti-6Al-4V (TC4) alloy. It has become the best alloy in the titanium alloy industry. When titanium alloy is welded by laser, when a surfactant is added, weld penetration can be increased, welding efficiency is improved, and the unevenness of the weld microstructure is improved, but the content and distribution of elements in the fusion zone and weld zone may be changed. So the performance of the material may be affected. In this paper, laser-induced breakdown spectroscopy (LIBS) analysis technology is used to scan the surface of TC4 titanium alloy welding specimens to obtain multi-element composition information simultaneously. At the same time, combined with the original position statistic distribution analysis method (OPA), the composition and its distribution state of base material, fusion zone, weld composition of titanium alloy can be quickly characterized, and a new evaluation method will be provided for the selection of the active agent and the material properties of titanium alloy after welding. In this paper, two different active agents are selected to weld the TC4 titanium alloy sheet. The longitudinal section of the weld is used as the analysis surface, 320 mesh alumina sandpaper is used for surface treatment LIBSOPA system is used for composition distribution analysis. Firstly, the condition optimization experiment was carried out on the excitation spot and ablation conditions. Finally, the 200 μm excitation spot, 10 pre-ablation pulses and 10 ablation pulses were selected for the experiment; secondly, the calibration curves of C,Al, V, Fe, Si, Ti six elements were established (Si element mainly comes from the active agent), and then the area scanning of the titanium alloy welding samples was finished, and the element content and distribution state were characterized. Samples were taken from different parts of the titanium alloy welding samples, and the high-frequency infrared method was used to analyze the C element content, which verified the correctness of the LIBSOPA technology analysis C results. The distribution results of the elements Al, V, Fe, Si and Ti correspond to the microbeam X-ray fluorescence spectrometry. In this paper, LIBSOPA technology is used to characterize the composition distribution of multiple elements in the titanium alloy base metal, fusion zone and weld, which provides a new evaluation and characterization method for quickly determining the composition and distribution status titanium alloy weld.
|
|
Received: 2020-11-24
Accepted: 2021-02-15
|
|
|
|
[1] JIN He-xi, WEI Ke-xiang, LI Jian-ming, et al（金和喜, 魏克湘, 李建明，等）. The Chinese Journal of Nonferrous Metals（中国有色金属学报）, 2015, 25(2): 280.
[2] LI Yi，ZHAO Yong-qing，ZENG Wei-dong（李 毅, 赵永庆, 曾卫东）. Materials Reports（材料导报）, 2020, 34(S1): 280.
[3] LIN Jun-hui, DAN Zhen-hua, LU Jia-fei, et al（林俊辉, 淡振华, 陆嘉飞, 等）. Rare Metal Materials and Engineering（稀有金属材料与工程）, 2020, 49(3): 1090.
[4] CHEN Jun，WANG Ting-xun，ZHOU Wei, et al（陈 军, 王廷询, 周 伟, 等）. Titanium Industry Progress（钛工业进展）, 2015, 32(6): 8.
[5] Sever Gabriel Racz, Radu Eugen Breaz, Melania Tera, et al. Metals, 2018, 8(626): 1.
[6] Zhang Laichang, Chen Liangyu. Advanced Engineering Materials, 2019, 21(1801215): 1.
[7] HOU Ji-jun，DONG Jun-hui，BAI Xue-yu, et al（侯继军, 董俊慧, 白雪宇, 等）. Transactions of the China Welding Institution（焊接学报）, 2019, 40(10): 67.
[8] LEI Tian-yu, ZHANG Yong, LIU Ying, et al（雷天宇, 张 勇, 刘 英, 等）. Chinese Journal of Rare Metals（稀有金属）, 2018, 42(2): 199.
[9] GAO Jun, LIU Ying, ZHANG Yong（高 军, 刘 英, 张 勇）. Chinese Journal of Analysis Laboratory（分析试验室）, 2016, 35(10): 1222.
[10] LIU Zheng, JIA Yun-hai（刘 正, 贾云海）. Metallurgical Analysis（冶金分析）, 2017, 37(3): 1.
[11] LIU Zheng, JIA Yun-hai, LI Sheng（刘 正, 贾云海, 李 胜）. Metallurgical Analysis（冶金分析）, 2016, 36(6): 1.
[12] Doraciak P, Bünting A, Lampke T. IOP Conference Series: Materials Science and Engineering, 2019, 480(1): 1. |
| [1] |
TANG Quan1, ZHONG Min-jia2, YIN Peng-kun2, ZHANG Zhi3, CHEN Zhen-ming1, WU Gui-rong3*, LIN Qing-yu4*. Imaging of Elements in Plant Under Heavy Metal Stress Based on Laser-Induced Breakdown Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(05): 1485-1488. |
| [2] |
SI Yu1, LIU Ji1*, WU Jin-hui2, ZHAO Lei1, YAN Xiao-yan2. Optical Observation Window Analysis of Penetration Process Based on Flash Spectrum[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(03): 718-723. |
| [3] |
SU Yun-peng, HE Chun-jing, LI Ang-ze, XU Ke-mi, QIU Li-rong, CUI Han*. Ore Classification and Recognition Based on Confocal LIBS Combined With Machine Learning[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(03): 692-697. |
| [4] |
YAN Wen-hao1, YANG Xiao-ying1, GENG Xin1, WANG Le-shan1, LÜ Liang1, TIAN Ye1*, LI Ying1, LIN Hong2. Rapid Identification of Fish Products Using Handheld Laser Induced Breakdown Spectroscopy Combined With Random Forest[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(12): 3714-3718. |
| [5] |
LI Ming, ZHANG Shuai, WU Tian-yu, WANG Jian, GUAN Cong-rong*, CHEN Ji-wen*. Research on LIBS Signal Processing Based on EEMD-MRA Method[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(12): 3836-3841. |
| [6] |
OUYANG Ai-guo, YU Bin, HU Jun, LIN Tong-zheng, LIU Yan-de. Grade Evaluation of Grain Size in High-Speed Railway Wheel Steel Based on Laser-Induced Breakdown Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(11): 3428-3434. |
| [7] |
FU Hong-bo1, WU Bian1, WANG Hua-dong1, ZHANG Meng-yang1, 2, ZHANG Zhi-rong1, 2*. Quantitative Analysis of Li in Lithium Ores Based on Laser-Induced Breakdown Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(11): 3489-3493. |
| [8] |
YU Feng-ping1, LIN Jing-jun1*, LIN Xiao-mei1, 3*, LI Lei1,2*. Detection of C Element in Alloy Steel by Double Pulse Laser Induced Breakdown Spectroscopy With a Multivariable GA-BP-ANN[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(01): 197-202. |
| [9] |
PENG Ya1，2, LI Dong-ling2，3*, WAN Wei-hao1，2, ZHOU Qing-qing3，4, CAI Wen-yi1，2, LI Fu-lin1, LIU Qing-bin2，3, WANG Hai-zhou2，3. Analysis of Composition Distribution of New Cast-Forging FGH4096 Alloy Turbine Disk Based on Microbeam X-Ray Fluorescence Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(11): 3498-3505. |
| [10] |
LIU Jia1, SHEN Xue-jing1, 2, ZHANG Guan-zhen3, GUO Fei-fei2, LI Dong-ling1, 2, WANG Hai-zhou1*. Characterization of Original Position Statistical Distribution of Composition in Train Wheel Steel by Laser-Induced Breakdown Spectrum[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(07): 2269-2274. |
| [11] |
ZHANG Kun1, XU Zong-wei1*, CHEN Chuan-song2, FANG Feng-zhou1. Application Prospect of Laser Induced Breakdown Spectroscopy in Disease Diagnosis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(06): 1961-1965. |
| [12] |
WANG Hui1, 2, JIN Cheng3, ZHAO Lei1, 2, YU Lei3, LIN Fei3, SUN Xiao-fei3, JIA Yun-hai1, 2*. Original Position Statistic Distribution Analysis of Continuous Casting Round Billet of 18CrNiMo7-6 Low and Middle Alloy Steel[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(12): 3906-3911. |
| [13] |
ZHANG Chao, ZHU Lin, GUO Jin-jia*, LI Nan, TIAN Ye, ZHENG Rong-er. Laser-Induced Breakdown Spectroscopy for Heavy Metal Analysis of Zn of Ocean Sediments[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(11): 3617-3622. |
| [14] |
LIU Zong-xin1,2, SHEN Xue-jing1,2*, LI Dong-ling3, ZHAO Lei1,2. Study on the Element Distribution of Gradient Stainless Steel Samples Prepared by Additive Manufacturing and Its Application Based on Laser Induced Breakdown Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(07): 2289-2295. |
| [15] |
LI Dong-ling1, 2, ZHAO Lei1, 2, SHEN Xue-jing2, 3, WANG Hai-zhou2, 3. Study of Inclusion Characterization Method in IF Steel Based on the Spark Source Original Position Statistic Distribution Analytical Technology[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(06): 1710-1715. |
|
|
|
|
