TY - DATA T1 - Dataset used in the paper "3D printing for Repair: An Approach for Enhancing Repair" PY - 2023/03/08 AU - Alma van Oudheusden AU - Julieta BolaƱos Arriola AU - Jeremy Faludi AU - Bas Flipsen AU - Ruud Balkenende UR - https://data.4tu.nl/articles/dataset/Dataset_used_in_the_paper_3D_printing_for_Repair_An_Approach_for_Enhancing_Repair_/22226677/1 DO - 10.4121/22226677.v1 KW - 3D printing KW - repair KW - spare parts KW - framework KW - sustainability KW - data coding KW - students N2 -
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.
ER -