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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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STEP CAD models of structural aerospace sheet metal parts

Authors: Seyedmorteza Ghaffarishahri;

STEP CAD models of structural aerospace sheet metal parts

Abstract

This dataset consists of 26 STEP CAD models of aerospace sheet metal parts. The models were used to test a prototype (A) of an automated feature recognition method (B) for aerospace sheet metal part models. When models are used in a work, they can be credited by citing them directly or by citing whichever of the following papers that are relevant. A - A Prototype of an Automated Feature Recognition Algorithm for Aerospace Sheet Metal Parts B - Feature Recognition for Structural Aerospace Sheet Metal Parts

{"references": ["S Ghaffarishahri, L Rivest - Feature recognition for structural aerospace sheet metal parts - Computer-Aided Design & Applications, 2020", "S Ghaffarishahri, L Rivest - A Prototype of an Automated Feature Recognition Algorithm for Aerospace Sheet Metal Parts - Computer-Aided Design & Applications, 2022"]}

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popularity
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