Element Distribution Analysis of Turbine Disk by Original Position Statistic Distribution Analysis Technique with Spark Source
LI Dong-ling1,2, LU Yu-hua1,2, JIN Cheng3, FENG Guang1,2, LI Fu-lin1, SHEN Xue-jing1,2
1. Beijing Adranced Innovation Center for Materials Genome Engineering, Beijing 100081, China
2. Beijing Key Laboratory of Metal Material Characterization, Beijing 100081, China
3. NCS Testing Technology Co., Ltd., Beijing 100081, China
Abstract：As a high-throughput element distribution analysis technique for metal surface with a large size original position statistic distribution analysis (OPA) combined with spark source atomic emission spectrometry has been developed for more than ten years with the advantage of rapid analysis speed, simultaneous locating acquisition of multi-element signals and large information of statistic analysis. This technique has been widely used in the casting billet segregation analysis for medium and low alloyed steel. In this paper, OPA technique with spark source was used for the distribution analysis of main alloy elements such as Al，Cr，Co，Ti，W，Mo，Nb in FGH96 super-alloy turbine disk prepared by casting& forging deformation. The quantitative statistic analysis of these elements has been obtained by the application of appropriate calibration curves. Fix point analysis in different turbine disk position from wheel hub to flange was done by direct-reading spectrometer and a good agreement of the results of two methods has been obtained. It was found that the statistic segregation degree of the most of the elements in turbine disk is less than 5% except the element of Nb. The distribution in different position of turbine disk was varied with different type of cooling in disk. A certain segregation of carbide forming elements such as Ti and Nb existed in disk flange and the content of elements increased and on the contrary the inhomogeneousdistribution of Co，W，Mo occurred in the middle part of turbine disk. Carbides with a large size were also observed by scanning electron microscope combined with energy spectrum analysis and it can be a further evidence to explain the existence of the segregation of Nb and Ti in disk flange. The element distributionquantitative analysis results will guide the preparation of FGH96 alloy turbine disk by new casting & forging deformation technology and help improve performance.
Key words：Spark source atomic emission spectrometry; Original position statistic distribution analysis; Turbine disk; FGH96 super-alloy; Element distribution
李冬玲，卢毓华，金 呈，冯 光，李福林，沈学静. 火花源原位统计分析技术对涡轮盘的成分分布分析[J]. 光谱学与光谱分析, 2019, 39(01): 14-19.
LI Dong-ling, LU Yu-hua, JIN Cheng, FENG Guang, LI Fu-lin, SHEN Xue-jing. Element Distribution Analysis of Turbine Disk by Original Position Statistic Distribution Analysis Technique with Spark Source. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2019, 39(01): 14-19.
[1] Li F L，Fu R, Yin F J, et al. Materials Science & Engineering A, 2017, 696: 273.
[2] LIU Jian-tao, TAO Yu, ZHANG Yi-wen, et al(刘建涛，陶 宇，张义文，等). Transactions of Materials and Heat Treatment(材料热处理学报)，2010，31(5)： 71.
[3] WEI Jia-hu, DONG Jian-xin, FU Shu-hong, et al(韦家虎，董建新，付书红，等). Failure Analysis and Prevention(失效分析与预防)，2013，8(6)： 321.
[4] FU Rui，FENG Di，CHEN Xi-chun, et al(付 锐，冯 涤，陈希春，等). Journal of Iron and Steel Research(钢铁研究学报)，2011, 23(Supplement 2): 1.
[5] SHI Chang-xu, ZHONG Zeng-yong(师昌绪，仲增墉). Acta Metallurgica Sinica(金属学报)，2010，46(11)： 1281.
[6] LI Fu-lin, FU Rui, FENG Di, et al(李福林，付 锐，冯 涤，等). Chinese Journal of Rare Metals(稀有金属)，2015，39(3)： 201.
[7] CHEN Jin-zhong, WANG Jing, SONG Guang-ju, et al(陈金忠，王 敬，宋广聚，等). Chinese Science Bulletin(科学通报)，2016，61(10)： 1086.
[8] SHEN Gui-hua, LI Hua-chang, SHI Ye-hong(沈桂华，李华昌，史烨弘). Metallurgical Analysis(冶金分析)，2016，36(5)： 16.
[9] LI Dong-ling, JIN Cheng, MA Fei-chao, et al(李冬玲，金 呈，马飞超，等). Metallurgical Analysis(冶金分析)，2014，34(1)： 1.
[10] QU Hua-yang, HU Jing-yu, ZHAO Lei, et al(屈华阳，胡净宇，赵 雷，等). Metallurgical Analysis(冶金分析)，2013，33(2)： 13.
[11] LI Dong-ling, ZHAN Yong, WANG Hai-zhou, et al(李冬玲，张 勇，王海舟，等). Journal of the Chinese Society of Rare Earths(中国稀土学报)，2014，32(1)： 76.
[12] WANG Ke-jie, LI Wei(王克杰，李 维). Metallurgical Analysis(冶金分析)，2012，32(1)： 7.
[13] LI Dongling, Wang Haizhou. ISIJ International, 2014, 54(1): 160.
