Dataset used in the paper "3D printing for Repair: An Approach for Enhancing Repair"

DOI:10.4121/22226677.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/22226677
Datacite citation style:
van Oudheusden, Alma; Bolaños Arriola, Julieta; Faludi, Jeremy; Flipsen, Bas; Balkenende, Ruud (2023): Dataset used in the paper "3D printing for Repair: An Approach for Enhancing Repair". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/22226677.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

Dataset used in the paper "3D printing for Repair: An Approach for Enhancing Repair" by Van Oudheusden et al., 2023. It collects data on 45 repair cases by students that perform one iteration of the 3D printing for repair process for the first time during a three-day practicum.

The data set documents what incorrect and correct steps were made, and also what suitability and unsuitability types the part in each repair case had. Data coding was done independently by two researchers with a predetermined data coding table (see paper), and a coding agreement of 0,81 using Cohen's Kappa.

History

  • 2023-03-08 first online, published, posted

Publisher

4TU.ResearchData

Format

Excel sheet

Funding

  • Interrreg NWE project number NWE982

Organizations

TU Delft, Faculty of Industrial Design Engineering, Department of Circular Product Design

DATA

Files (2)