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Title: A co-registered in-situ and ex-situ dataset from wire arc additive manufacturing process

Journal Article · · Scientific Data (Online)

Recent progress in sensing techniques and data analytics tools have significantly accelerated the development of Wire Arc Additive Manufacturing (WAAM) systems. This data-centric approach emphasizes leveraging sensor data available throughout the production process to optimize performance. Integration of extensive data analysis provides opportunities for improving precision, reducing waste, and enhancing the quality of produced parts. This method relies on AI/ML models and optimization techniques, which are developed using the data collected from various sources, including in-situ sensors, ex-situ imaging, and manufacturing process parameters. The quality and diversity of this data, along with the alignment between different data streams (achieved through spatiotemporal registration) are critical for the successful development of AI/ML and optimization models. In this work, we present a spatiotemporally registered dataset generated during the WAAM process of deposition of a rectangular block. The dataset includes a comprehensive description of the deposition process, process parameters, welding characteristics and acoustic data collected in-situ, and X-Ray Computed Tomography data of the build.

Research Organization:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE)
Grant/Contract Number:
AC05-00OR22725
OSTI ID:
2538252
Journal Information:
Scientific Data (Online), Journal Name: Scientific Data (Online) Journal Issue: 1 Vol. 12; ISSN 2052-4463
Publisher:
Nature Publishing GroupCopyright Statement
Country of Publication:
United States
Language:
English

References (31)

Acoustic emissions in directed energy deposition processes journal January 2022
Vision-based melt pool monitoring for wire-arc additive manufacturing using deep learning method journal February 2022
Object modelling by registration of multiple range images journal April 1992
Additive manufacturing of metals journal September 2016
Spatially resolved acoustic spectroscopy for integrity assessment in wire–arc additive manufacturing journal August 2019
Effect of contaminations on the acoustic emissions during wire and arc additive manufacturing of 316L stainless steel journal March 2022
Deep learning-based monitoring of laser powder bed fusion process on variable time-scales using heterogeneous sensing and operando X-ray radiography guidance journal October 2022
A mesoscale 3D model of irradiated concrete informed via a 2.5 U-Net semantic segmentation journal January 2024
Feasibility study of acoustic signals for on-line monitoring in short circuit gas metal arc welding journal April 2004
Investigation on arc sound and metal transfer modes for on-line monitoring in pulsed gas metal arc welding journal July 2010
Beyond parabolic weld bead models: AI-based 3D reconstruction of weld beads under transient conditions in wire-arc additive manufacturing journal April 2022
Real-time anomaly detection using convolutional neural network in wire arc additive manufacturing: Molybdenum material journal April 2022
A convolutional neural network-based multi-sensor fusion approach for in-situ quality monitoring of selective laser melting journal July 2022
Direct additive manufacturing of metal parts for automotive applications journal June 2023
Mutual comparison of acoustic, pyrometric and thermographic laser powder bed fusion monitoring journal November 2021
Directed energy deposition (DED) additive manufacturing: Physical characteristics, defects, challenges and applications journal October 2021
Microstructural porosity segmentation using machine learning techniques in wire-based direct energy deposition of AA6061 journal December 2021
Convolutional Neural Network for geometric deviation prediction in Additive Manufacturing journal January 2020
Multisensor fusion-based digital twin for localized quality prediction in robotic laser-directed energy deposition journal December 2023
Beam hardening in X-ray reconstructive tomography journal May 1976
A Hybrid Deep Learning Model for Layer-Wise Melt Pool Temperature Forecasting in Wire-Arc Additive Manufacturing Process journal January 2021
Frequency Selection for On-line Identification of Welding Penetration through Audible Sound conference July 2017
Deep Learning Based Workflow for Accelerated Industrial X-Ray Computed Tomography conference October 2023
Efficient variants of the ICP algorithm conference May 2001
A Model-Based Image Reconstruction Algorithm With Simultaneous Beam Hardening Correction for X-Ray CT journal September 2015
Repairing Automotive Dies With Directed Energy Deposition: Industrial Application and Life Cycle Analysis journal December 2018
Options for Improving Performance of Additively Manufactured Nickel-Base Superalloys for Gas Turbine Applications journal November 2023
Multimodal Sensor Fusion for Real-Time Location-Dependent Defect Detection in Laser-Directed Energy Deposition conference August 2023
Geometric Accuracy Prediction for Additive Manufacturing Through Machine Learning of Triangular Mesh Data conference June 2019
A Co-Registered In-Situ and Ex-Situ Dataset of Electrical, Acoustic, and CT Characteristics from Wire Arc Additive Manufacturing Process
  • Orlyanchik, Vladimir; Kimmell, Jeffrey; Snow, Zack
  • Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States) https://doi.org/10.13139/ORNLNCCS/2439935
dataset January 2024
Rapid Design and Manufacturing of High-Performance Materials for Turbine Blades (Final Scientific/Technical Report) report April 2024