Dataset for Computationally Efficient Models of High Pressure Rolling for Wire Arc Additively Manufactured Components
Date
2021-01-04 13:51
Supervisor/s
Journal Title
Journal ISSN
Volume Title
Publisher
Cranfield University
Department
Type
Dataset
ISSN
Format
Free to read from
Citation
Gornyakov, Valeriy; Sun, Yongle; Ding, Jialuo; Williams, Stewart (2021). Dataset for Computationally Efficient Models of High Pressure Rolling for Wire Arc Additively Manufactured Components. Cranfield Online Research Data (CORD). Dataset. https://doi.org/10.17862/cranfield.rd.13514419
Abstract
- Dataset for Figure 5: Equivalent plastic strain obtained along centreline on the top of the WAAM wall.2. Dataset for Figure 6: Reaction forces obtained at the rotation point of the rollers (note that only half of the WAAM component was considered in the models).3. Dataset for Figure 13: Longitudinal PS distributions on inspection planes.4. Dataset for Figure 14: Longitudinal RS distributions on inspection planes.
Description
Software Description
Software Language
Github
Keywords
'Wire + arc additive manufacturing', 'Computationally efficient rolling model', 'Implicit analysis', 'Explicit analysis', 'Eulerian analysis', '2D plane stress model', 'Additive Manufacturing'
DOI
10.17862/cranfield.rd.13514419
Rights
CC BY 4.0
Relationships
Relationships
Supplements
Funder/s
EPSRC grant EP/R027218/1 for the programme of New Wire Additive Manufacturing (NEWAM).