Towards Automatic Detection of Precipitates in Inconel 625 Superalloy Additively Manufactured by the L-PBF Method
| Autor: | Beata Dubiel, J. Falkus, Piotr Macioł, Paulina Indyka |
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| Rok vydání: | 2021 |
| Předmět: |
Technology
Materials science Multispectral image Image processing Microanalysis automatic image analysis Article EDS microanalysis General Materials Science Information gain Microscopy QC120-168.85 business.industry QH201-278.5 inconel 625 Pattern recognition Inconel 625 Engineering (General). Civil engineering (General) TK1-9971 Superalloy Descriptive and experimental mechanics Automatic segmentation Artificial intelligence Electrical engineering. Electronics. Nuclear engineering TA1-2040 business additive manufacturing |
| Zdroj: | Materials Materials, Vol 14, Iss 4507, p 4507 (2021) Volume 14 Issue 16 |
| ISSN: | 1996-1944 |
| Popis: | In our study, the comparison of the automatically detected precipitates in L-PBF Inconel 625, with experimentally detected phases and with the results of the thermodynamic modeling was used to test their compliance. The combination of the complementary electron microscopy techniques with the microanalysis of chemical composition allowed us to examine the structure and chemical composition of related features. The possibility of automatic detection and identification of precipitated phases based on the STEM-EDS data was presented and discussed. The automatic segmentation of images and identifying of distinguishing regions are based on the processing of STEM-EDS data as multispectral images. Image processing methods and statistical tools are applied to maximize an information gain from data with low signal-to-noise ratio, keeping human interactions on a minimal level. The proposed algorithm allowed for automatic detection of precipitates and identification of interesting regions in the Inconel 625, while significantly reducing the processing time with acceptable quality of results. |
| Databáze: | OpenAIRE |
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