|
|
|
|
|
|
Study on Metallic Samples Determination Based on Prompt Gamma
Neutron Activation Analysis Technique |
CHENG Can1, HEI Da-qian2*, JIA Wen-bao1, SHAN Qing1, LING Yong-sheng1, ZHAO Dong1 |
1. Department of Nuclear Science and Technology, College of Materials Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
2. School of Nuclear Science and Technology, Lanzhou University, Lanzhou 730000, China
|
|
|
Abstract In the productive process of alloy materials, the change of element contents can significantly affect the quality and reliability of the products. The on-line monitoring techniques can determine the element contents of metallic materials in real-time, which can then guide their manufactureing processes and improve their quality and reliability. The normal techniques have limited penetration depth in the sample and are not efficient for volume analysis, which will affect the analytical accuracy. Prompt gamma-ray neutron activation analysis (PGNAA) is a non-destructive, high sensitivity and multi-elemental determination technique and can be used for bulk sample analysis. This work studied the feasibility of determination for metallic materials by using PGNAA. The metallic samples were analyzed by measuring prompt gamma rays produced by inelastic scattering of fast neutrons. A PGNAA system consisting of a D-T neutron generator, neutron reflector, collimator, high-purity germanium (HPGe) detector, and shielding was built and used for analysis of metallic materials. Firstly, Fe, Ti, Cr, Ni and Cu samples with various masses were conducted with the designed system. The prompt gamma rays of the elements were fitted using GAMMAFIT software to obtain the net areas of prompt gamma rays, and the response between sample mass and net peak area was analyzed. The non-linear response caused by variation of detection efficiency was corrected to obtain a calibration curve. A good linear relationship could be observed after correction. The mass detection limit of these elements was calculated, and the values were Fe (44 g), Ti (25 g), Cr (33 g), Ni (108 g) and Cu (72 g), respectively. Secondly, the determination of Fe and Cr of stain steel samples was studied by using the system. The calibration curves of Fe and Cr were obtained with the standard samples. An unknown sample was then measured and analyzed. The results were compared with the X-ray fluorescence (XRF) measurement data. The experimental data showed that the relative deviations of Fe and Cr obtained with the two methods were 4.08% and -2.97%, respectively. The results demonstrated that the PGNAA technique could be applied for determining many metals and alloys, which provides a basis for other metallic samples analyses.
|
Received: 2021-05-25
Accepted: 2021-07-29
|
|
Corresponding Authors:
HEI Da-qian
E-mail: heidq@lzu.edu.cn
|
|
[1] Lednev V N, Sdvizhenskii P A, Asyutin R D, et al. Optics Express, 2019, 27(4): 4612.
[2] Shahabinejad H, Vosoughi N, Saheli F. Progress in Nuclear Energy, 2020, 118: 103146.
[3] Tian L, Zhang F, Liu J, et al. Journal of Radioanalytical and Nuclear Chemistry, 2018, 315(1): 51.
[4] Shinde A D, Acharya R, Reddy A V R. Nuclear Engineering and Technology, 2017, 49(3): 562.
[5] Arcidiacono L, Martinón-Torres M, Senesi R, et al. Journal of Analytical Atomic Spectrometry, 2020, 35(2): 331.
[6] Maróti B, Kis Z, Szentmiklósi L, et al. Journal of Radioanalytical and Nuclear Chemistry, 2017, 312(2): 367.
[7] Randriamalala T H, Rossbach M, Mauerhofer E, et al. Nuclear Instruments and Methods in Physics Research Section A, 2016, 806: 370.
[8] Cheng C, Wei Z, Hei D, et al. Nuclear Instruments and Methods in Physics Research Section B, 2019, 452: 30.
[9] Hei D, Jia W, Cheng C, et al. Journal of Radioanalytical and Nuclear Chemistry, 2021,329(1): 301.
[10] Li H, Zhao C, Qiao S, et al. Nuclear Instruments and Methods in Physics Research Section A, 2021, 985: 164701.
[11] Szentmiklósi L. Journal of Radioanalytical and Nuclear Chemistry, 2018, 315(3): 663.
[12] Yakubova G, Kavetskiy A, Prior S A, et al. Applied Radiation and Isotopes, 2017, 128: 237.
[13] Shan Q, Liu Y, Zhang X, et al. Microchemical Journal, 2020, 155: 104784.
|
[1] |
GUO Xiao-hua1, ZHAO Peng1, WU Ya-qing1, TANG Xue-ping3, GENG Di2*, WENG Lian-jin2*. Application of XRF and ICP-MS in Elements Content Determinations of Tieguanyin of Anxi and Hua’an County, Fujian Province[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(10): 3124-3129. |
[2] |
LI Xue-ping1, 2, 3, ZENG Qiang1, 2, 3*. Development and Progress of Spectral Analysis in Coal Structure Research[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(02): 350-357. |
[3] |
LIU Juan1, LIU Yu-zhu2, CHU Chen-xi3, BU Ling-bing1*, ZHANG Yang4. In Situ Online Detection of Lignite and Soot by Laser-Induced Breakdown Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(03): 954-960. |
[4] |
TONG Li-hong1, ZHU Ling2, ZHAO Nan3, LÜ Yi-zhong1*, LIU Xia-yan1, JIANG Shan1, LI Ying-xin1. Spectroscopic Characteristics of Soil Humus Components Under Different Proportions of Organic and Inorganic Fertilizers[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(02): 523-528. |
[5] |
DING Peng-fei1, LIU Yu-zhu1, 2*, ZHANG Qi-hang1 , YAN Yi-hui1, YIN Wen-yi1, CHEN Yu1. In Situ Online Detection of Straw Burning Smoke via Laser-Induced Breakdown Spectroscopy Technique[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(10): 3292-3297. |
[6] |
YUAN Xiao-xue, ZHOU Ding-you, LI Jie*, XU Xian-shun, YONG Li, HU Bin, LIU Tao*. Progress in the Analysis of Elements in PM2.5 by ICP-MS[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(08): 2373-2381. |
[7] |
LI Ming1, 2, LI Yan-bing3, ZHANG Qiao-chu2, SHI Yu-tao2, CUI Fei-peng2, ZHAO Ying1, 2. Research on Spark Spectrum Signal Processing Based on Ensemble Empirical Mode Decomposition[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(06): 1923-1928. |
[8] |
ZHONG Qi-xiu1, 2, 3, ZHAO Tian-zhuo1, 2, 3*, LI Xin1, 2, 3, LIAN Fu-qiang1, 3, XIAO Hong1, 3, NIE Shu-zhen1, 3, SUN Si-ning3, 4, FAN Zhong-wei1, 2, 3. Standardized Cross-Validation and Its Optimization for Multi-Element LIBS Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(02): 622-627. |
[9] |
HOU Jia-jia1, ZHANG Lei1, 2*, ZHAO Yang1, YIN Wang-bao1, 2*, DONG Lei1, 2, MA Wei-guang1, 2, XIAO Lian-tuan1, 2, JIA Suo-tang1, 2. Investigation on Resonance and Non-Resonance Doublet Based Self-Absorption-Free LIBS Technique[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(01): 261-265. |
[10] |
LI Wen-cui1, YU Zhan1, FU Yu1, WU You1, XIN Shi-gang2, Lü Yong1, ZHAO Zhen1, WANG Ying1*. Study on Element Distribution in Meteorite Samples by XRF and ICP-MS[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(10): 3261-3263. |
[11] |
YIN Wen-yi1,LIU Yu-zhu1, 2*,QIU Xue-jun3*,ZHOU Feng-bin1,ZHANG Qi-hang1. Rapid Determination of Four Kinds of Incense by Laser-Induced Breakdown Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(09): 2957-2961. |
[12] |
ZHOU Xiu-qi, LI Run-hua, DONG Bo, HE Xiao-yong, CHEN Yu-qi*. Analysis of Aluminum Alloy by High Repetition Rate Laser Ablation Spark-Induced Breakdown Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(05): 1577-1581. |
[13] |
Lü Yi-zhong1, CONG Wei-wei1,2*, LI Li-jun1*. Structural Changes in Humic Acid during Degeneration Process of a Steppe Soil[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(09): 2954-2960. |
[14] |
WANG Xiao-hua, LI Wei-feng, GUO Zong-wei, HANG Wei*, HUANG Ben-li. Elemental Analysis of Alloy Sample with Pulsed Micro-Discharge Optical Emission Spectrometry[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(06): 1661-1666. |
[15] |
WANG Fu-juan1, LI Run-hua2*, WANG Zi-xin1, ZENG Xue-ran1, CAI Zhi-gang1, ZHOU Jian-ying1 . Elemental Analysis of Alloys with Picosecond Dual-Pulse LA-LIBS under Low Sample Destruction [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(01): 236-240. |
|
|
|
|