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首页> 外文期刊>Materials Science and Engineering >Evaluation of the strain-induced martensitic transformation by acoustic emission monitoring in 304L austenitic stainless steel: Identification of the AE signature of the martensitic transformation and power-law statistics
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Evaluation of the strain-induced martensitic transformation by acoustic emission monitoring in 304L austenitic stainless steel: Identification of the AE signature of the martensitic transformation and power-law statistics

机译:通过声发射监测对304L奥氏体不锈钢的应变诱发马氏体相变进行评估:马氏体相变的AE特征标识和幂律统计

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摘要

The aim of the present investigation is to characterize plasticity-induced martensite formation of metastable austenitic stainless steel at room temperature. Acoustic Emission (AE) monitoring is performed on a 304L austenitic stainless steel during fatigue tests. This work aims at identifying the acoustic emission signals associated with the formation of the strain-induced martensite. The present work includes the study of the influence of the specimen geometry. The use of statistical pattern recognition allowed the identification of the acoustic emission signatures for three mechanisms: dislocation motion, mechanical damage and martensitic transformation (MT). Moreover statistics on the energies of the AE signals were found to obey power laws (P(E) ~ E~(-α)) with exponent α = 1.75 ± 0.15 for the cluster associated with martensite formation.
机译:本研究的目的是表征室温下塑性诱导的亚稳态奥氏体不锈钢的马氏体形成。在疲劳测试过程中,对304L奥氏体不锈钢进行声发射(AE)监控。这项工作旨在确定与应变诱发马氏体形成有关的声发射信号。目前的工作包括对试样几何形状影响的研究。使用统计模式识别可以识别三种机制的声发射特征:位错运动,机械损伤和马氏体转变(MT)。此外,发现与马氏体形成有关的团簇的声发射信号能量统计服从幂定律(P(E)〜E〜(-α)),指数α= 1.75±0.15。

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