In situ Visible Light and Thermal Imaging Data from a Laser Powder Bed Fusion Additive Manufacturing Process Co-Registered to X-ray Computed Tomography and Fatigue Data

This dataset is comprised of in situ sensing data collected during a laser-based powder bed fusion additive manufacturing process, as well as rasterized scan path information, post-build X-ray computed tomography (XCT), and fatigue test results. A total of 64 cylinders, approximately 15 mm in diameter and 102 mm tall, were printed out of stainless steel 316H on a Colibrium Additive Concept Laser M2 Series 5 machine. Parameters known to produce dense material were used to construct 56 of these cylinders, while the remaining 8 cylinders were printed with relatively high energy density parameters prone to producing keyhole pores. In addition, two spatter generation blocks were constructed upstream of the 64 cylinders such that ejecta produced during the melting of the spatter generators were stochastically seeded onto the 64 cylinders. Based on previous experiments, these spatter particles were theorized to produce stochastic lack-of-fusion pores. During the construction of the build, high-resolution images of reflected light in the visible spectrum were captured both before and after recoating for each print layer. Additionally, temporally integrated thermal imaging in the near infrared spectrum produced integrated sum and max images on a layerwise basis. The multimodal in situ data has been co-registered to the build plate coordinate system, allowing for identification of process anomalies (e.g., spatter particles) apparent in the two sensors. Following construction of the build, the cylinders were subjected to XCT to identify internal flaws, and the resulting data have also been registered to the build plate coordinate system. Finally, 60 of the 64 cylinders were machined into fatigue coupons conforming to ASTM E466 and subsequently subjected to either high- or -low-cycle fatigue testing. The results of the fatigue tests have also been included in the dataset, and the XCT data corresponded to the approximate location of the gauge sections of the machine fatigue specimen geometry.

本数据集包含基于激光的粉末床熔融增材制造（laser-based powder bed fusion additive manufacturing）过程中采集的原位传感（in situ sensing）数据，以及光栅化扫描路径信息、成型后X射线计算机断层扫描（X-ray computed tomography, XCT）数据与疲劳测试结果。共计64个圆柱试样，直径约15 mm、高度102 mm，采用316H不锈钢在Colibrium Additive Concept Laser M2 Series 5设备上打印成型。其中56个圆柱采用可制备致密材料的既定工艺参数打印，剩余8个则使用易产生匙孔孔隙（keyhole pores）的较高能量密度参数打印。此外，在64个圆柱试样的上游位置设置了两个飞溅生成块，使飞溅发生器熔化过程中产生的喷射物随机沉积至试样表面。基于前期实验，这类飞溅颗粒被推测会产生随机未熔合孔隙（lack-of-fusion pores）。在打印过程中，每一层铺粉（recoating）前后均采集了可见光波段反射光的高分辨率图像；同时通过近红外波段的时间积分热成像，逐层生成积分总和与峰值图像。该多模态原位数据已与成型板坐标系配准，可识别两个传感器捕捉到的工艺异常（如飞溅颗粒）。打印完成后，对圆柱试样进行XCT扫描以识别内部缺陷，所得数据同样已配准至成型板坐标系。最终，64个圆柱试样中的60个被加工为符合ASTM E466标准的疲劳试样，并依次开展高周或低周疲劳测试。疲劳测试结果已纳入本数据集，且XCT数据对应疲劳试样标距段的大致位置。

搜集汇总

背景与挑战

背景概述

该数据集是一个激光粉末床熔融增材制造过程的多模态原位监测数据集，包括可见光和热成像数据、X射线计算机断层扫描（XCT）数据以及疲劳测试结果，所有数据均配准到构建板坐标系。数据集涉及64个不锈钢316H圆柱体，通过不同打印参数和飞溅引入随机缺陷，旨在研究制造缺陷与疲劳性能的关联，适用于增材制造过程监控和质量分析应用。