The doi 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

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

Dataset

• Engineering Design
• Other Economics

3D printing, data coding, framework, repair, spare parts, students, sustainability

CC BY 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Alma van Oudheusden , Julieta Bolaños Arriola , Jeremy Faludi , Bas Flipsen , Ruud Balkenende

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.

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

4TU.ResearchData

Excel sheet

• Interrreg NWE project number NWE982

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