The WG Fractography Online Database – stage of development and planning

D. Bettge, L. Schmies
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Abstract

Abstract Since 2013, the AG Fraktographie (Working Group (WG) Fractography) in the DVM/DGM Joint Committee “Elektronenmikroskopie in der Materialforschung” (Electron Microscopy in Materials Research) maintains a fractographic online database (“FractoDB”, [1, 2]) available to interested professionals. When it comes to identifying failure mechanisms and causes of damage, the analysis and evaluation of fracture surfaces and their characteristics constitute important aspects of the failure analysis. Cracks and fractures in real components can only be assessed if well-documented comparative fractures from laboratory tests are available – be it in samples or in comparison components. The WG Fractography therefore gathers image material, systematically carries out laboratory and round robin tests, and analyzes fractures from failure cases. From thus obtained data, datasets are compiled and made available via the database. Currently, a browsable inventory of more than 400 datasets with a total of more than 4500 images is available. It is organized in line with guideline VDI 3822 [3]. Other activities of the WG Fractography represented in the FractoDB include, among others, the development of a fractographic set of symbols [4, 5] and the analysis of fracture characteristics using machine learning [6]. This contribution reports on latest results and plans.
WG断口在线数据库的开发和规划阶段
自2013年以来,DVM/DGM联合委员会“Elektronenmikroskopie in der Materialforschung”(材料研究中的电子显微镜)中的AG断口学(工作组(WG)断口学)维护了一个断口学在线数据库(“FractoDB”,[1,2]),可供感兴趣的专业人员使用。当涉及到识别破坏机制和损伤原因时,对断裂面及其特征的分析和评价是失效分析的重要方面。只有在实验室测试中有充分记录的比较断裂——无论是样品还是比较部件——的情况下,才能对真实部件的裂缝和断裂进行评估。因此,WG断口术收集图像材料,系统地进行实验室和循环测试,并从失效案例中分析裂缝。从这样获得的数据中,汇编数据集并通过数据库提供。目前,有超过400个数据集和4500多张图片可供浏览。它是按照指南VDI 3822[3]组织的。FractoDB中描述的WG断口学的其他活动包括,开发断口学符号集[4,5]和使用机器学习分析裂缝特征[6]。这篇文章报告了最新的结果和计划。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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