RAIICE Cycle 2 Advanced Manufacturing Dataset Catalog

A Co-Registered In-Situ and Ex-Situ Tensile Properties Dataset from a Laser Powder Bed Fusion Additive Manufacturing Process (Peregrine v2023-11)

(Oak Ridge National Laboratory) This release contains a co-registered in-situ and ex-situ Peregrine dataset from five Concept Laser M2 Laser Powder Bed Fusion (L-PBF) stainless…
A Co-Registered In-Situ and Ex-Situ Dataset from a Laser Powder Bed Fusion Additive Manufacturing Process (Peregrine v2023-10)

(Oak Ridge National Laboratory) This release contains a co-registered in-situ and ex-situ Peregrine dataset from a single Concept Laser M2 Laser Powder Bed Fusion (L-PBF)…
Prediction of microstructure formation in laser powder bed fusion process

Prediction of microstructure formation in laser powder bed fusion process
A Co-Registered In-Situ and Ex-Situ Dataset of Electrical, Acoustic, and CT Characteristics from Wire Arc Additive Manufacturing Process

(Oak Ridge National Laboratory) Recent progress in sensing techniques and data analytics tools have significantly accelerated the development of Wire Arc Additive Manufacturing (WAAM) systems.…
Simulated Microstructures for Laser Powder Bed Fusion Additive Manufacturing Using Myna, AdditiveFOAM, and ExaCA

(Oak Ridge National Laboratory) This dataset provides sample datasets containing voxelized, three-dimensional representations of simulated grain structures and crystallographic orientations that can result from laser…
AMB2025-02 Macroscale Quasi-Static Tensile Tests of PBF-L IN718

(National Institute of Standards and Technology) This challenge is a follow-on from AMB2022-01 laser powder bed fusion (PBF-LB) alloy Inconel 718 in the as-built condition…
A Fully Registered In-Situ and Ex-Situ Dataset for Metal Powder Bed Fusion Additive Manufacturing: Data Processing, Feature Extraction, Registration, and Uncertainties

(National Institute of Standards and Technology) This document details the data registration process for the previously published datasets from Additive Manufacturing Metrology Testbed (AMMT) parts,…
Simantha: Simulation for Manufacturing

(National Institute of Standards and Technology) Simantha is a discrete event simulation package written in Python that is designed to model the behavior of discrete…

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Argonne National Laboratory

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