Early Shell Crack Detection Technique Using Acoustic Emission Energy Parameter Blast Furnaces
| Autor: | Sang Bum Lee, Bo Suk Yang, Dong-Myung Bae, Dong-Hyun Kim |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Engineering
Blast furnace business.industry 020502 materials fungi Shell (structure) 02 engineering and technology Structural engineering Fault detection and isolation 020501 mining & metallurgy Cracking 0205 materials engineering Acoustic emission Energy parameter Steel mill Structural health monitoring business |
| Zdroj: | Journal of the Korean Society for Nondestructive Testing. 36:45-52 |
| ISSN: | 1225-7842 |
| Popis: | Blast furnaces are crucial equipment for steel production. A typical furnace risks unexpected accidents caused by contraction and expansion of the walls under an environment of high temperature and pressure. In this study, an acoustic emission (AE) monitoring system was tested for evaluating the large-scale structural health of a blast furnace. Based on the growth of shell cracks with the emission of high energy levels, severe damage can be detected by monitoring increases in the AE energy parameter. Using this monitoring system, steel mill operators can establish a maintenance period, in which actual shell cracks can be verified by cross-checking the UT. From this study, we expect that AE systems permit early fault detection for structural health monitoring by establishing evaluation criteria based on the severity of shell cracking. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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