{"title":"Quantitative Analysis of Aeroengine Turbine Disk Surface Crack under Natural Magnetic Field","authors":"Ping Fu, Bo Hu, Weitao Luo, Shaofei Wang, X. Lan","doi":"10.1080/09349847.2022.2105458","DOIUrl":null,"url":null,"abstract":"ABSTRACT Aiming at surface cracks of aeroengine turbine disk, a weak magnetic detection technology without excitation is proposed. Signal processing is performed using blind source separation (BSS). Support vector machine (SVM) is used to realize quantitative evaluation. Four nickel-base superalloy test blocks with defects are designed. The magnetic induction intensity of the test block is collected by a weak magnetic detection instrument. Then, the signal processing based on BSS is carried out. Finally, SVM is used to quantitatively analyze the weak magnetic signal before and after BSS. Results show that SVM estimation accuracy of defect length, width, and depth is 90%, 94%, and 71% after BSS, respectively. These findings are 14%, 8%, and 23% higher than the estimation accuracy prior to BSS.","PeriodicalId":54493,"journal":{"name":"Research in Nondestructive Evaluation","volume":"51 1","pages":"158 - 173"},"PeriodicalIF":1.0000,"publicationDate":"2022-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Research in Nondestructive Evaluation","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.1080/09349847.2022.2105458","RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MATERIALS SCIENCE, CHARACTERIZATION & TESTING","Score":null,"Total":0}
引用次数: 0
Abstract
ABSTRACT Aiming at surface cracks of aeroengine turbine disk, a weak magnetic detection technology without excitation is proposed. Signal processing is performed using blind source separation (BSS). Support vector machine (SVM) is used to realize quantitative evaluation. Four nickel-base superalloy test blocks with defects are designed. The magnetic induction intensity of the test block is collected by a weak magnetic detection instrument. Then, the signal processing based on BSS is carried out. Finally, SVM is used to quantitatively analyze the weak magnetic signal before and after BSS. Results show that SVM estimation accuracy of defect length, width, and depth is 90%, 94%, and 71% after BSS, respectively. These findings are 14%, 8%, and 23% higher than the estimation accuracy prior to BSS.
期刊介绍：
Research in Nondestructive Evaluation® is the archival research journal of the American Society for Nondestructive Testing, Inc. RNDE® contains the results of original research in all areas of nondestructive evaluation (NDE). The journal covers experimental and theoretical investigations dealing with the scientific and engineering bases of NDE, its measurement and methodology, and a wide range of applications to materials and structures that relate to the entire life cycle, from manufacture to use and retirement.
Illustrative topics include advances in the underlying science of acoustic, thermal, electrical, magnetic, optical and ionizing radiation techniques and their applications to NDE problems. These problems include the nondestructive characterization of a wide variety of material properties and their degradation in service, nonintrusive sensors for monitoring manufacturing and materials processes, new techniques and combinations of techniques for detecting and characterizing hidden discontinuities and distributed damage in materials, standardization concepts and quantitative approaches for advanced NDE techniques, and long-term continuous monitoring of structures and assemblies. Of particular interest is research which elucidates how to evaluate the effects of imperfect material condition, as quantified by nondestructive measurement, on the functional performance.
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