Model of Magnetic Barkhausen Noise for Characterization of Steel Materials

用于表征钢材的巴克豪森磁噪声模型

• 批准号: RGPIN-2017-06365
• 负责人: Krause, Thomas
• 金额: $ 2.26万
• 依托单位: Royal Military College of Canada
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=683974
• 关键词: Model; Magnetic; Barkhausen; Noise; Characterization

The goal of this scientific investigation is to develop portable surface magnetic Barkhausen noise (MBN) capability for non-destructive characterization of ferromagnetic steel properties. The goal includes combined measurement of residual stress, degree of plastic deformation, grain size, carbon content, crystallographic texture, magnetic anisotropy and, in the case of electrical steels, core loss. Motivation for this work is the requirement for rapid identification of steel type and evaluation of stress state within structures such as submarine and ship hulls, oil and gas pipelines, motor or transformer laminates, landing gear in aircraft and cases where structures may have undergone localized damage and/or repair. Development of tools, analysis methods and modeling, along with identification of factors that affect the measurement outcome will facilitate application of MBN analysis and advance its potential as a diagnostic tool for identification and characterization of steel materials.*******The scope of work will include characterization of a wide range of steel materials, in order to develop models of MBN generation that will allow the extraction of key material parameters for non-destructive characterization of materials. The five year project will examine Barkhausen noise emissions from a number of steel types with the goal of developing general models describing micro-magnetic Barkhausen emissions in order to enhance MBN inspection capabilities for future applications. The specific ferromagnetic steel properties to be evaluated will include characterization of magnetic properties and optimization of core loss and permeability in non-oriented electrical steels (NOES), the detection and measurement of residual elastic and/or plastic stress in structural steels, including naval vessels, with a focus on monitoring of fatigue and carbide precipitate migration, as may occur during tempering embrittlement in HY80, used for submarines, and identification/assessment of specific steel grades, such as would be useful in the oil and gas industry, where installed pipelines may be made of unknown steel material. Barkhausen noise will be examined for specific NOES steels obtained under controlled manufacturing processes, as part of a collaboration with CanmetMATERIALS, Natural Resources Canada (see attached letter indicating in-kind support of $150,000-$250,000 over 5 years). Determination of naval steel condition including presence of elastic residual stress, plastic deformation and potential for detection and characterization of tempering embrittlement will be performed in collaboration with Defence Research Development Canada (DRDC), Atlantic Research Centre (see attached letter of support). Identification of signal parameters that could be used to identify steels will be performed in collaboration with Lynann Clapham at Queen's University and CanmetMATERIALS.***

这项科学研究的目的是开发可移植的表面磁性barkhausen噪声（MBN）能力，以实现铁磁性钢性质的非破坏性表征。该目标包括剩余应力，塑性变形的程度，晶粒尺寸，碳含量，晶体学质地，磁各向异性的结合测量，以及在电钢的情况下，核心损失。这项工作的动机是需要快速识别钢铁类型并评估诸如潜艇和船体，石油和天然气管道，电机或变压器层压板，飞机和结构可能经历局部损坏和/或修复的情况的结构内的应力状态。工具，分析方法和建模的开发以及影响测量结果的因素的识别将促进MBN分析的应用，并提高其作为识别和表征钢材材料表征的诊断工具的潜力。*******工作范围将包括多种钢材材料的表征，以开发出多种材料的MBN模型，以促进非材料的特征，以进行非材料的特征。五年的项目将检查许多钢类类型的Barkhausen噪声排放，其目的是开发描述微型磁性Barkhausen排放的通用模型，以增强MBN检查能力，以实现未来应用。要评估的特定铁磁性钢性能将包括表征磁性特性以及核心损失和在非方向性电钢（NOE）中的核心损失和渗透性的优化，在包括疲劳和降水量的内部迁移时，在内的结构钢中的残留弹性和/或塑性钢中残留弹性和/或塑性压力的检测和测量，包括在内识别/评估特定的钢级等级，例如在石油和天然气行业中有用，在石油和天然气行业中，安装的管道可能是由未知的钢材材料制成的。将检查Barkhausen的噪声，以根据与Canmetmaterials（Canmetmaterials，Natural Resources Canada）合作的一部分，对在受控制造过程中获得的特定NOES钢进行检查（请参阅附件的信函，表明5年内提供150,000-250,000美元的实物支持）。海军钢条件的确定，包括存在弹性残留应力，塑性变形以及检测和表征回火封闭的潜力，将与加拿大国防研究开发（DRDC），大西洋研究中心合作（请参阅附件支持信）。识别可用于识别钢的信号参数将与皇后大学的Lynann Clapham和CanmetMaterials合作执行。***