Research data supporting "Seven principles of toolpath design in conventional metal spinning"

Russo, I., Allwood, J. M., & Cleaver, C. (2020). Research data supporting "Seven principles of toolpath design in conventional metal spinning" [Dataset]. https://doi.org/10.17863/CAM.54230

Description

The dataset contains data collected during a study conducted by the authors in the Department of Engineering at the University of Cambridge in February-March 2019. The goal of the study was to capture the skill of experienced craftsmen in a metal forming technique known as metal spinning. The dataset is composed of 72 experimental trials performed by 6 different participants. Each participant visited the Department of Engineering for 1 full day of trials. The data collected is made up of: - 1 Word document explaining the sources of data - 1 Excel spreadsheet named “Trials data.xlsx” - 8 folders with data: video recordings, audio recordings, photographs of physical parts, graphics, text files with information about the roller trajectory and workpiece shape, MATLAB scripts.

Format

Software used: LabVIEW 2009 SP1, MATLAB R2020, Microsoft Office, in-house developed C++ software.

Keywords

metal spinning, metal forming, manufacturing, craft, efficiency

Relationships

Publication Reference: https://doi.org/10.1016/j.jmatprotec.2021.117131 https://www.repository.cam.ac.uk/handle/1810/318586

Sponsorship

EPSRC (1775345)

Engineering and Physical Sciences Research Council (EP/S019111/1)

Identifiers

This record's DOI: https://doi.org/10.17863/CAM.54230

Rights

Attribution 4.0 International (CC BY 4.0)

Licence URL: https://creativecommons.org/licenses/by/4.0/

Statistics

Total file downloads (since January 2020). For more information on metrics see the IRUS guide.

Except where otherwise noted, this item's licence is described as Attribution 4.0 International (CC BY 4.0)