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药芯焊丝电弧焊和手工电弧焊工艺的熔合区微观结构图像数据集。

Fusion zone microstructure image dataset of the flux-cored and shielded metal arc welding processes.

作者信息

Lagares Moisés Luiz, Catão Silva Gulliver, Caldeira Lecino

机构信息

Faculty of Engineering, Federal University of Juiz de Fora, Juiz de Fora, Brazil.

Federal Institute of Southeast of Minas Gerais State - IF Sudeste MG, Juiz de Fora, Brazil.

出版信息

Data Brief. 2020 Sep 30;33:106353. doi: 10.1016/j.dib.2020.106353. eCollection 2020 Dec.

DOI:10.1016/j.dib.2020.106353
PMID:33102645
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7578206/
Abstract

This paper presents high quality (2048 × 1532 pixels) Light Microscope steel images sampled from the welding fusion zone. The microstructure images were acquired from the Design of Experiments (2 full factorial design) planned to compare two different arc welding processes at two different arc welding energies [1]. The 400 raw images appear as they were captured by the microscope and they are categorized into four groups: that acquired from the Flux Cored Arc Welding process and that acquired from the Shielded Metal Arc Welding process; both of them run for high and low levels of arc energy. For the Flux Cored Arc Welding process, ASME SFA 5.20 E71T-5C(M) tubular wire was used, with a nominal diameter of 1.2 mm. For the Shielded Metal Arc Welding process, AWS E7018 coated electrodes were used, with nominal diameters of 3.25 mm (for the low energy level) and 5.00 mm (for the high energy level). The deposition of the beads was run on AISI 1010 steel plates in the flat position (bead-on-plate). Different proportions of primary grain boundary ferrite; polygonal ferrite; acicular ferrite; nonaligned side-plate ferrite and aligned side-plate ferrite can be observed in each image. This image dataset is ready to visual and automatic microstructure recognition and quantification. It can be a useful resource for computational intelligence research teams, e.g. [2], by offering images for handling as filtering, feature extraction, training, validation and testing in pattern recognition and machine learning techniques.

摘要

本文展示了从焊接熔合区采样的高质量(2048×1532像素)光学显微镜钢图像。微观结构图像是根据实验设计(2全因子设计)获取的,该实验旨在比较两种不同电弧焊工艺在两种不同电弧焊能量下的情况[1]。这400张原始图像呈现出显微镜拍摄时的样子,它们被分为四组:从药芯电弧焊工艺获取的图像和从手工电弧焊工艺获取的图像;这两种工艺都在高电弧能量水平和低电弧能量水平下运行。对于药芯电弧焊工艺,使用了ASME SFA 5.20 E71T - 5C(M)管状焊丝,标称直径为1.2毫米。对于手工电弧焊工艺,使用了AWS E7018焊条,标称直径分别为3.25毫米(用于低能量水平)和5.00毫米(用于高能量水平)。焊缝在AISI 1010钢板上平焊位置(平板堆焊)进行堆焊。在每张图像中都可以观察到不同比例的先共析铁素体、多边形铁素体、针状铁素体、无定向侧板铁素体和定向侧板铁素体。这个图像数据集可用于视觉和自动微观结构识别与量化。通过提供图像用于模式识别和机器学习技术中的滤波、特征提取、训练、验证和测试等处理,它可以成为计算智能研究团队的有用资源,例如[2]。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e599/7578206/20f9a979d105/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e599/7578206/c0a7f8e9cbc5/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e599/7578206/d07c29d7fc04/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e599/7578206/20f9a979d105/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e599/7578206/c0a7f8e9cbc5/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e599/7578206/d07c29d7fc04/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e599/7578206/20f9a979d105/gr7.jpg

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