Qualify a near-infrared camera to detect thermal deviation during aluminum alloy Wire Arc Additive Manufacturing

DOI

Data presented here are the part of the study: Dellarre A, Béraud N, Villeneuve F, Tardif N, Vignat F, Limousin M : Qualify a near-infrared camera to detect thermal deviation during aluminum Wire Arc Additive Manufacturing process

Date : November 2022

e-mail : anthony.dellarre@grenoble-inp.fr

Please use appropriate citations and referencing while using this dataset by any means.

Contributing authors: Anthony Dellarre, Nicolas Béraud, François Villeneuve, Nicolas Tardif, Frédéric Vignat, Maxime Limousin

Any further information could be asked by making a legitimate request to: Anthony Dellarre (anthony.dellarre@grenobe-inp.fr) and Nicolas Béraud (nicolas.beraud@grenoble-inp.fr)

The folder archetecture is :

  • Wall referenced by its idle time

    • Row data :

      • video of near frame (.mp4)
      • near_camera (*.bmp)
      • scan (scan.stl)
    • Process data :

      • width of the wall function of the x coordinate and layer number (width.csv)
      • height of the wall function of the x coordinate and layer number (height.csv)
      • the thermal metric (surface of the thermal processed area) in function of the layer (thermalMetric.csv)

Please refer to the paper for any further scientific details.

Identifier
DOI https://doi.org/10.57745/7HF7KG
Metadata Access https://entrepot.recherche.data.gouv.fr/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.57745/7HF7KG
Provenance
Creator Dellarre, Anthony ORCID logo; Béraud, Nicolas ORCID logo; Tardif Nicolas ORCID logo; Vignat, Frédéric ORCID logo; Villeneuve, François ORCID logo; Limousin, Maxime ORCID logo
Publisher Recherche Data Gouv
Contributor Dellarre, Anthony; Laboratoire Grenoble, Science pour la conception l'optimisation et la production; Entrepôt-Catalogue Recherche Data Gouv
Publication Year 2022
Funding Reference ANR ANR-21-CE10-0003
Rights info:eu-repo/semantics/openAccess
OpenAccess true
Contact Dellarre, Anthony (G-SCOP; UGA, Grenoble INP-UGA, CNRS; Grenoble; France)
Representation
Resource Type Dataset
Format application/zip
Size 2701501632
Version 1.0
Discipline Engineering Sciences; Construction Engineering and Architecture; Engineering
Spatial Coverage S.mart Grenoble-Alpes