Research data supporting "Seven principles of toolpath design in conventional metal spinning"
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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
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.
Software used: LabVIEW 2009 SP1, MATLAB R2020, Microsoft Office, in-house developed C++ software.
metal spinning, metal forming, manufacturing, craft, efficiency
Engineering and Physical Sciences Research Council (EP/S019111/1)
This record's DOI: https://doi.org/10.17863/CAM.54230
Attribution 4.0 International (CC BY 4.0)
Licence URL: https://creativecommons.org/licenses/by/4.0/