2016
DOI: 10.1016/j.addma.2016.05.010
|View full text |Cite
|
Sign up to set email alerts
|

Controlling of residual stress in additive manufacturing of Ti6Al4V by finite element modeling

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

3
89
0

Year Published

2017
2017
2024
2024

Publication Types

Select...
4
4
2

Relationship

0
10

Authors

Journals

citations
Cited by 147 publications
(92 citation statements)
references
References 21 publications
3
89
0
Order By: Relevance
“…Many authors in the research are focused on the effects of Ti6Al4V processing technology on its mechanical, fatigue properties, surface quality after machining, and so on [20][21][22][23][24][25][26]. In particular, the influence of the building direction in additive technologies is observed.…”
Section: Research Activities Related To Dmls/slm Of Ti6al4vmentioning
confidence: 99%
“…Many authors in the research are focused on the effects of Ti6Al4V processing technology on its mechanical, fatigue properties, surface quality after machining, and so on [20][21][22][23][24][25][26]. In particular, the influence of the building direction in additive technologies is observed.…”
Section: Research Activities Related To Dmls/slm Of Ti6al4vmentioning
confidence: 99%
“…Heigel et al (2015) and Yang et al (2016) both used a perfect plasticity model for DED, and Heigel et al also incorporated effects from annealing due to reaching the annealing temperature for Ti6Al4V [64,70]. Vastola et al (2016) used an isotropic hardening model related to the absolute stress in the material developed during the EBM process [81]. Parry et al (2016) and Li et al (2018) additionally included effects of plastic-regime work-hardening to model SLM-based processing [73,82].…”
Section: Modeling and Simulation Of Metal-based Additive Manufacturinmentioning
confidence: 99%
“…First principles models, both simple and complex, were proposed by Patterson et al [35][36] and Fergani et al [61], all of which were demonstrated and verified using various numerical experiments and comparisons to published experimental data. Examples of computational studies that were verified using various simple part deformation experiments were those performed by Vrancken et al [62] [71] were multiscale finite element models for fast and efficient prediction of part distortion, primarily intended to inform part designers and engineers.…”
Section: Stress and Distortion Modelsmentioning
confidence: 99%