2017
DOI: 10.1016/j.jmatprotec.2017.01.029
|View full text |Cite
|
Sign up to set email alerts
|

Numerical prediction of failure in single point incremental forming using a phenomenological ductile fracture criterion

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
2

Citation Types

3
37
0

Year Published

2017
2017
2023
2023

Publication Types

Select...
5
1
1

Relationship

0
7

Authors

Journals

citations
Cited by 93 publications
(40 citation statements)
references
References 41 publications
3
37
0
Order By: Relevance
“…However, it is worth mentioning that there are very recent numerical works in ISF making use of more sophisticated modelling (considering material anisotropy, non-quadratic yield criteria, dynamic adaptive meshing, mixed hardening models, etc.) with the aim of reproducing more specific characteristic of the experimental procedure [24,27] or providing more accurate predictions for the onset of failure [28]. Analyzing the accumulated damage in the case of a tool of Φ10 mm diameter and a step down of 0.5 mm/pass, the case in which a direct transition from stable plastic deformation towards ductile fracture in the absence of necking was attained, the capacity of the numerical model for predicting failure by fracture in SPIF can be evaluated.…”
Section: Numerical Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…However, it is worth mentioning that there are very recent numerical works in ISF making use of more sophisticated modelling (considering material anisotropy, non-quadratic yield criteria, dynamic adaptive meshing, mixed hardening models, etc.) with the aim of reproducing more specific characteristic of the experimental procedure [24,27] or providing more accurate predictions for the onset of failure [28]. Analyzing the accumulated damage in the case of a tool of Φ10 mm diameter and a step down of 0.5 mm/pass, the case in which a direct transition from stable plastic deformation towards ductile fracture in the absence of necking was attained, the capacity of the numerical model for predicting failure by fracture in SPIF can be evaluated.…”
Section: Numerical Resultsmentioning
confidence: 99%
“…However, it is worth mentioning that there are very recent numerical works in ISF making use of more sophisticated modelling (considering material anisotropy, non-quadratic yield criteria, dynamic adaptive meshing, mixed hardening models, etc.) with the aim of reproducing more specific characteristic of the experimental procedure [24,27] or providing more accurate predictions for the onset of failure [28].…”
Section: Numerical Resultsmentioning
confidence: 99%
“…The FLCF was constructed under proportional loading (tensile test) and non-proportional loading (SPIF test). It was found the shape and value of FLCF in SPIF differ from the one of tensile test [14].…”
Section: Introductionmentioning
confidence: 87%
“…Modified MohrCoulomb (MMC) damage model was implemented in Abaqus/Explicit via user subroutine (VUMAT) to predict the ductile fracture in SPIF. According to the Lode angle parameter and stress triaxiality, it was found the loading path of SPIF is non-linear as well, the MMC model with non-linear damage accumulation can predict the SPIF fracture location accurately while there was 10% error in fracture depth prediction [14]. An analytical model has been developed with the consideration of strain hardening and bending to study the deformation stability and fracture in ISF process of aluminium grads, AA1100 and AA5052.…”
Section: Introductionmentioning
confidence: 99%
“…Currently employed tests are based on compression, tension and torsion, and they involve the use of specimens with shapes amplifying fracture propagation. In sheet forming, calibration tests are predominantly performed by tensile testing of sheet specimens such as dog-bone specimens, notched specimens, flat-grooved specimens and shear specimens [13][14][15][16]. The critical damage values are then validated with experimental tests using e.g.…”
Section: Introductionmentioning
confidence: 99%