Detail

Laser powder bed fusion process and structure data set, spring 2022

Wood, Nathaniel; Schwalbach, Edwin; Gillman, Andrew; Hoelzle, David J.

Organizations

MDF Open

Year

2023

Source Name

lpbf_process_inputoutput_spring2022

Contacts

David J. Hoelzle (hoelzle.1@osu.edu)

DOI

10.18126/jv0r-cyu9 View on Datacite
This dataset is a series of synchronized process input and output measurements, and structural data, for laser powder bed fusion. The material is IN718. The input and output data are available in both raw and processed form, in both .csv format and MATLAB .mat format. The measured inputs are real-time measurements of the laser power and position commands, real-time trigger signals for synchronizing the measurement devices, and the set point of the beam radius. There are two classes of process outputs: 1) thermographic videos from infrared cameras that are mounted in the build chamber and coaxially with the beam path, respectively, and 2) temperature measurements from thermocouples that are embedded within all test Samples. The structural data are micrographs of the the as-built Sample surfaces. This dataset contains measurements from 8 Samples: four Samples have a rectangular cross-section, and four Samples have an I-beam-shaped cross section. Data are collected in three regimes of testing: 1) at a low beam power, such that the dominant mode of heat transfer in the Samples is conduction, 2) in conditions that provoke melting in the exposed Samples surfaces, and 3) building five new layers of material atop all Samples. The data descriptor article for this dataset is still under peer review and this description will be updated with the relevant DOI once the article is published.