Dendritic structure recognition and statistics for single-crystal superalloys based on high-throughput micro energy dispersive X-ray fluorescence spectrometry
LIU Mingbo1,2, LI Dongling1,2, NI Ziyue1,2, YANG Lixia1,2, SHEN Xuejing1,2, WANG Haizhou*1,2
1. Central Iron and Steel Research Institute Co., Ltd., Beijing 100081, China;
2. NCS Testing Technology Co., Ltd., Beijing 100081, China
Abstract：In order to reveal the formation and growth laws of dendrite structure in the forming process of casting single-crystal superalloy, a set of methods for detection, recognition, qualitative and quantitative analysis of dendrite structure was developed based on the multi-element content distribution analysis function of self-developed high-throughput micro energy dispersive X-ray fluorescence spectrometer (μ-EDXRF). An area of 6 mm×6 mm was selected on the sample surface after polishing treatment for the scanning with step of 10 μm. The content distribution maps of Ni, Ta, W and Re and other elements were obtained, and the uneven dendritic segregation could be observed. In order to make the dendrite pattern clearer and easier for qualitative recognition and quantitative analysis, a series of image processing operations such as denoising, point-to-point algebraic operation and binarization recognition were carried out on each distribution map. Moreover, the dendrite processing module in the matching software was developed according to GBT 14999.7, so as to automatically complete the recognition, positioning, counting of dendrite structure and dendrite spacing calculation. The quantitative detection of segregation of each element in dendrite could be also completed using the characteristic of μ-EDXRF. The proposed method was applied for the analysis of DD5 single-crystal superalloy sample. The measured dendrite spacing was 304.2 μm, which was consistent with that by metallographic microscope. It was found that the difference of average content of Ni, Ta, W and Re elements at positive and negative segregation points was more than 2%.
刘明博, 李冬玲, 倪子月, 杨丽霞, 沈学静, 王海舟. 基于高通量微区能量色散X射线荧光光谱分析的单晶高温合金枝晶结构识别与统计[J]. 冶金分析, 2023, 43(12): 1-7.
LIU Mingbo, LI Dongling, NI Ziyue, YANG Lixia SHEN Xuejing, WANG Haizhou. Dendritic structure recognition and statistics for single-crystal superalloys based on high-throughput micro energy dispersive X-ray fluorescence spectrometry. , 2023, 43(12): 1-7.
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