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Practical Metallography最新文献

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Meeting Diary 会议的日记
Pub Date : 2023-06-30 DOI: 10.1515/pm-2023-0040
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引用次数: 0
Scale-bridging contrasting and characterization of multi-wire submerged arc welds and electron beam welds in steels 钢中多丝埋弧焊与电子束焊的尺度桥接对比与表征
Pub Date : 2023-06-30 DOI: 10.1515/pm-2022-1041
A. Herges, C. Pauly, M. Müller, D. Britz, F. Mücklich
Abstract For a comprehensive microstructural characterization of welds, a scale-bridging analysis of the microstructure is required. It is the only way to identify all microstructural characteristics relevant for the mechanical properties which, in turn, may cover several observation scales. The analytical methods used range from etchings for the macroscopic evaluation of the weld and heat-affected zone to the detection of so-called “local brittle zones” (LBZs) in the micrometre range. This paper will study weld joints in low-alloy steels produced by multi-wire submerged arc welding and electron beam welding. Macro and micro etching as well as electropolishing will be used for microstructural contrasting. Scanning electron microscopy will be performed to identify the finely dispersed carbon-rich secondary phase. Electron backscatter diffraction will enable the identification of so-called martensite/austenite regions (MAs) capable of acting as LBZs.
为了对焊缝进行全面的微观组织表征,需要对微观组织进行尺度桥接分析。这是识别与力学性能相关的所有微观结构特征的唯一方法,而力学性能又可能涵盖几个观察尺度。所用的分析方法从用于焊缝和热影响区的宏观评估的蚀刻到微米范围内所谓的“局部脆性区”(LBZs)的检测。本文对低合金钢多丝埋弧焊和电子束焊焊接接头进行了研究。宏观和微观蚀刻以及电抛光将用于微观结构对比。扫描电子显微镜将进行鉴定精细分散的富碳次级相。电子背散射衍射将使所谓的马氏体/奥氏体区域(MAs)能够作为lbz的识别。
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引用次数: 0
Vibratory polishing of multiphase CuZn30//CuZn80 diffusion pairs for electron backscatter diffraction (EBSD) characterization 用于电子背散射衍射(EBSD)表征的CuZn30//CuZn80扩散对的振动抛光
Pub Date : 2023-06-01 DOI: 10.1515/pm-2023-1043
J. Möbius, S. Lippmann, M. Seyring
Abstract The influence of vibratory polishing time on the quality of EBSD mappings of a multiphase microstructure is investigated and optimized for CuZn30//CuZn80 diffusion couples. The diffusion couples consist of four different phases whose hardness varies between 70 HV0.1 and 454 HV0.1. These are first mechanically ground, polished and finally prepared by vibratory polishing. A vibratory polishing of 2 h provides for all phases the highest quality of the recorded Kikuchi patterns (Image Quality values) and the highest correct assignment of the individual pixels of the mapping. Preparation artifacts, such as relief formation, only appear at higher vibratory polishing times (> 2 h). A vibratory polishing of the diffusion couples of 0.5 h already provides sufficient surface quality for EBSD analyses.
研究了振动抛光时间对CuZn30//CuZn80扩散偶相多相组织EBSD映射质量的影响,并对其进行了优化。扩散偶由4种不同的相组成,硬度在70 HV0.1 ~ 454 HV0.1之间。首先是机械研磨,抛光,最后是振动抛光。2小时的振动抛光为所有阶段提供了记录的菊池图案的最高质量(图像质量值)和映射的单个像素的最高正确分配。制备伪影,如浮雕形成,只有在更高的振动抛光时间(> 2小时)才会出现。0.5小时的扩散偶的振动抛光已经为EBSD分析提供了足够的表面质量。
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引用次数: 0
Machine learning for the classification of macroscale fracture surfaces 宏观断裂面分类的机器学习
Pub Date : 2023-06-01 DOI: 10.1515/pm-2023-1042
A. Herges, L. Ulrich, S. Scholl, M. Müller, D. Britz, F. Mücklich
Abstract The characterization of fractographic surfaces typically requires experts to evaluate the characteristics of fracture surfaces. However, these evaluations are influenced by human factors, such as subjectivity, and suffer from a lack of reproducibility. In this context, machine learning (ML), which has been established in various disciplines within materials science over the past few years, is a promising field enabling a more objective and reproducible evaluation. This study will evaluate the use of ML for the evaluation of fracture surfaces of notched Charpy specimens based on digital camera images. Image sections of the two reference regions “upper shelf” (ductile) and “lower shelf” (brittle) will serve as the database. In a first step, data visualization will be performed and data separability will be verified using unsupervised ML. On this basis, supervised ML will be used to train models to distinguish brittle and ductile fractures. These models will then be applied to determine ductile und brittle portions in mixed fracture modes, with the results being in good agreement with the expert consensus achieved in the round robin test.
断口表面的表征通常需要专家评估断口表面的特征。然而,这些评价受到人为因素的影响,例如主观性,并且缺乏可重复性。在这种背景下,机器学习(ML)在过去几年中已经在材料科学的各个学科中建立起来,是一个有前途的领域,可以进行更客观和可重复的评估。本研究将评估基于数码相机图像的缺口Charpy标本断裂面评估中ML的使用。“上大陆架”(韧性)和“下大陆架”(脆性)两个参考区域的图像部分将作为数据库。第一步,将使用无监督ML进行数据可视化和数据可分离性验证。在此基础上,将使用监督ML训练模型来区分脆性和韧性断裂。然后将这些模型应用于确定混合断裂模式下的韧性和脆性部分,结果与专家在循环测试中达成的共识很好地一致。
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引用次数: 0
Picture of the Month 本月图片
Pub Date : 2023-06-01 DOI: 10.1515/pm-2023-0032
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引用次数: 0
Failure of Connecting Clamps in Electrical Terminal Blocks 电气端子座连接卡箍失效
Pub Date : 2023-06-01 DOI: 10.1515/pm-2023-0031
A. Neidel, B. Fischer, M. Giller
Abstract The failure of fastening elements in electrical terminal blocks was attributed to various material-related causes. While the casehardened terminal screws broke due to hydrogen embrittlement, the material-related cause of the plastic deformations of the roof-shaped washers and the stripping of the threads of the square nuts are undersizing and an insufficient strength for this particular application.
摘要电气端子座紧固元件的失效是由多种材料引起的。虽然外壳硬化的终端螺钉由于氢脆而断裂,但与材料有关的屋顶形垫圈塑性变形和方螺母螺纹脱落的原因是尺寸过小,并且强度不足。
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引用次数: 0
Meeting Diary 会议的日记
Pub Date : 2023-06-01 DOI: 10.1515/pm-2023-0035
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引用次数: 0
People
Pub Date : 2023-06-01 DOI: 10.1515/pm-2023-0033
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引用次数: 0
Picture of the Month 本月图片
Pub Date : 2023-04-21 DOI: 10.1515/pm-2023-0026
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引用次数: 0
Liquation Cracking in Row 3 Twin Turbine Vane Segment Caused by Malfunctioning Plasma Coating Gun 等离子喷涂枪故障引起的第三排双涡轮叶片段液化开裂
Pub Date : 2023-04-21 DOI: 10.1515/pm-2023-0025
A. Neidel, B. Fischer, T. Gädicke, T. Ullrich
Abstract Transverse through-wall airfoil cracking was found in a row 3 twin turbine vane segment of a type used in heavy-duty gas turbine engines for power generation. A laboratory investigation determined liquation cracking (LC), a hot cracking mechanism, as the metallurgical cause of failure. As became apparent only after the investigation, the root cause of failure was a malfunctioning plasma gun used for thermal spraying the thermal barrier ceramic top coat onto the subject part.
摘要在某型重型燃气涡轮发电发动机的第3排双涡轮叶片段中发现了横向穿壁翼型裂纹。实验室调查确定液化开裂(LC),热开裂机制,作为冶金失败的原因。只有在调查之后才发现,故障的根本原因是用于热喷涂热障陶瓷面漆的等离子枪故障。
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引用次数: 0
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Practical Metallography
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