Dataset for Efficient determination and evaluation of steady-state thermal-mechanical variables generated by wire arc additive manufacturing and high pressure rolling
Date
2021-11-04 09:14
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 Efficient determination and evaluation of steady-state thermal-mechanical variables generated by wire arc additive manufacturing and high pressure rolling. Cranfield Online Research Data (CORD). Dataset. https://doi.org/10.17862/cranfield.rd.14832180
Abstract
- Dataset for Figure 5: Temperature histories predicted by the short thermal WAAM model at the thermocouple locations: (a) TP1, (b) TP2, (c) TP3 and (d) TP4. The experimental measurements by Ding [34] are also included for comparison.2. Dataset for Figure 11: Longitudinal RS distributions along the Z-direction (through wall height, see Figure 10b for the path of the line plots) in the mapped long mechanical model before and after clamps removal for the WAAM component. The experimental measurements by Ding et al. [34] and Colegrove et al. [5] are also included, which were conducted using neutron diffraction after clamps removal.3. Dataset for Figure 12: Verification of out-of-plane distortion predicted by the mapped long mechanical model after clamps removal. Note that the experimental measurement by Ding [34] using a 3D laser scanner was based on a four-layer deposited wall, and the WAAM model was adapted accordingly.
Description
Software Description
Software Language
Github
Keywords
'Large-scale additive manufacturing', 'Rolling', 'Residual stress', 'Distortion', 'Plastic strain', 'Simulation', 'Manufacturing Processes and Technologies (excl. Textiles)'
DOI
10.17862/cranfield.rd.14832180
Rights
CC BY 4.0
Relationships
Relationships
Supplements
Funder/s
EPSRC grant EP/R027218/1 for the programme of New Wire Additive Manufacturing (NEWAM).