DOI: 10.5281/zenodo.5031586
title: Metal Additive Manufacturing Open Repository

description: <strong>Metal Additive Manufacturing Open Repository</strong> This dataset gathers data from different parts of Additive manufacturing processes (Laser metal deposition - LMD, and Wire-arc additive manufacturing - WAAM). The dataset covers not only the process data, but also the design, NDT (Non-Destructive Testing) and dimensional inspection. <br> <strong>Motivation</strong> The industrialisation of Additive Manufacturing (AM) requires a holistic data management and integrated automation. The presented dataset is part of an end-to-end Digital Manufacturing solution, enabling a cybersecured bidirectional dataflow for a seamless integration across the entire AM chain. The goal is to develop a new manufacturing methodology capable of ensuring the manufacturability, reliability and quality of a target metal component from initial product design via Direct Energy Deposition (DED) technologies, implementing a zero-defect manufacturing approach ensuring robustness, stability and repeatibility of the process. To that end, we present the Metal Additive Manufacturing Open Dataset, the first holistic dataset for AM manufacturing, covering all engineering stages from desing to validation. We hope that this dataset will be the first step for the development of new data pipelines aimed to optimize and improve the AM processes and to speed up their digital transformation. <br> <strong>Authors</strong> Carlos Gonzalez-Val: Main contact (carlos.gonzalez@aimen.es) Baltasar Lodeiro Marcos Diez <strong>Entities</strong> This dataset was collected under the INTEGRADDE project. Attributions: AIMEN: Process data collection and manufacturing of T-Coupons, CC-Coupons-AIMEN and Jet Engine. MX3D: Process data collection and manufacturing of CC-Coupons-MX3D and Plates. University of West: Process data collection and manufacturing of CC-Coupons-WEST. IREPA: Process data collection and manufacturing of CC-Coupons-IREPA. CEA: Tomography analysis. DATAPIXEL: Dimensional inspection. <br> <strong>Structure</strong> The dataset follows this structure: Dataset [SAMPLE 1 NAME] README: metadata and information about the sample. Format: txt. Photo: a photo of the manufactured sample. Format: jpg. Design: a 3D design file of the piece before manufacturing (original design). Format: stl. Trajectories: the trajectories followed for the manufacturing. Format: gcode. Process data: data recorded from the process. Format hdf5. Tomography: data from a 3D tomographic reconstruction. Format: raw. Dimensional inspection: A comparison [SAMPLE 2 NAME] ... Further information and metadata is contained in each stage's subdirectory. Note that not all the samples contain all the stages. <br> <strong>Software</strong> To open the different files that conform the dataset, we recommend the following Open softwares: hdf5 -&gt; HDF5 Viewer: https://www.hdfgroup.org/downloads/hdfview/ stl/amf -&gt; Slic3r: https://slic3r.org / OpenJScad: https://openjscad.org/ stp -&gt; ShareCad: https://beta.sharecad.org/ gcode -&gt; Text editor / Slic3r: https://slic3r.org/ raw -&gt; ImageJ: https://imagej.net/ More information on how to open the files of the dataset can be found in the README.