TOMOGRAPHIC EIGENSTRAIN RECONSTRUCTION FOR FULL-FIELD RESIDUAL STRESS ANALYSIS IN LARGE SCALE ADDITIVE MANUFACTURING PARTS
Fatih Uzun
1
,
H. C. Basoalto
2
,
Konstantinos Liogas
1
,
Mohamed Fares Slim
3
,
Mohamed Amine Slim
3
,
Tung Lik Lee
4
,
Cyril Besnard
1
,
ZIFAN WANG
5
,
Jingwei Chen
1
,
Igor P. Dolbnya
6
,
3
Arts et Métiers Institute of Technology, MSMP, HESAM Université, F-13617 Aix-en-Provence, France
|
Publication type: Journal Article
Publication date: 2024-02-07
scimago Q1
wos Q1
SJR: 2.877
CiteScore: 20.0
Impact factor: 11.1
ISSN: 22148604, 22147810
General Materials Science
Industrial and Manufacturing Engineering
Biomedical Engineering
Engineering (miscellaneous)
Abstract
Current experimental and numerical quantification methods are limited in their ability to full-field mapping of the unpredictable distribution of all residual stress and permanent plastic strain components in additive manufacturing parts with discontinuous processing properties. To address this limitation, a tomographic eigenstrain (inherent strain) reconstruction method, that merges eigenstrain reconstruction with diffraction strain tomography for mapping volumetric distribution of all components of eigenstrains and corresponding elastic deformations like residual stresses non-destructively using minimum amount of tomographic scans is presented through numerical experiments, and then applied to the analysis of a CM 247 LC superalloy additive manufacturing part using diffraction strain tomography data. The method reconstructs all eigenstrain and corresponding residual stress components, parallel to the build direction, aligned with the experimental data component accurately, demonstrating its potential in optimizing the performance and reliability of parts designed for high-tech industries such as aerospace. Subsequent validations using the X-ray diffraction sin2ψ and neutron diffraction strain scanning techniques confirm the method's reliability in reconstructing residual stress components parallel to the plane of powder bed that are different from the experimental data component. Furthermore, the novel findings of this study reveal a characteristic residual stress distribution pattern within additive manufacturing parts particularly those featuring rectangular shapes. Microstructural analysis also validates eigenstrain distribution in accordance with the findings on the characteristic distribution of residual stresses, highlighting the significance of this method in advancing materials research and development.
Found
Nothing found, try to update filter.
Found
Nothing found, try to update filter.
Top-30
Journals
|
1
|
|
|
Engineering with Computers
1 publication, 7.69%
|
|
|
Optics and Lasers in Engineering
1 publication, 7.69%
|
|
|
Crystals
1 publication, 7.69%
|
|
|
Mechanisms and Machine Science
1 publication, 7.69%
|
|
|
International Journal of Mechanical Sciences
1 publication, 7.69%
|
|
|
Polymer Testing
1 publication, 7.69%
|
|
|
Materials Today Communications
1 publication, 7.69%
|
|
|
Materials Science & Engineering A: Structural Materials: Properties, Microstructure and Processing
1 publication, 7.69%
|
|
|
Materials and Design
1 publication, 7.69%
|
|
|
International Journal of Advanced Manufacturing Technology
1 publication, 7.69%
|
|
|
Progress in Additive Manufacturing
1 publication, 7.69%
|
|
|
Metals and Materials International
1 publication, 7.69%
|
|
|
Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering
1 publication, 7.69%
|
|
|
1
|
Publishers
|
1
2
3
4
5
6
|
|
|
Elsevier
6 publications, 46.15%
|
|
|
Springer Nature
5 publications, 38.46%
|
|
|
MDPI
1 publication, 7.69%
|
|
|
SAGE
1 publication, 7.69%
|
|
|
1
2
3
4
5
6
|
- We do not take into account publications without a DOI.
- Statistics recalculated weekly.
Are you a researcher?
Create a profile to get free access to personal recommendations for colleagues and new articles.
Metrics
13
Total citations:
13
Citations from 2024:
13
(100%)
Cite this
GOST |
RIS |
BibTex
Cite this
GOST
Copy
Uzun F. et al. TOMOGRAPHIC EIGENSTRAIN RECONSTRUCTION FOR FULL-FIELD RESIDUAL STRESS ANALYSIS IN LARGE SCALE ADDITIVE MANUFACTURING PARTS // Additive Manufacturing. 2024. Vol. 81. p. 104027.
GOST all authors (up to 50)
Copy
Uzun F., Basoalto H. C., Liogas K., Slim M. F., Slim M. A., Lee T. L., Besnard C., WANG Z., Chen J., Dolbnya I. P., Korsunsky A. M. TOMOGRAPHIC EIGENSTRAIN RECONSTRUCTION FOR FULL-FIELD RESIDUAL STRESS ANALYSIS IN LARGE SCALE ADDITIVE MANUFACTURING PARTS // Additive Manufacturing. 2024. Vol. 81. p. 104027.
Cite this
RIS
Copy
TY - JOUR
DO - 10.1016/j.addma.2024.104027
UR - https://linkinghub.elsevier.com/retrieve/pii/S2214860424000733
TI - TOMOGRAPHIC EIGENSTRAIN RECONSTRUCTION FOR FULL-FIELD RESIDUAL STRESS ANALYSIS IN LARGE SCALE ADDITIVE MANUFACTURING PARTS
T2 - Additive Manufacturing
AU - Uzun, Fatih
AU - Basoalto, H. C.
AU - Liogas, Konstantinos
AU - Slim, Mohamed Fares
AU - Slim, Mohamed Amine
AU - Lee, Tung Lik
AU - Besnard, Cyril
AU - WANG, ZIFAN
AU - Chen, Jingwei
AU - Dolbnya, Igor P.
AU - Korsunsky, Alexander M.
PY - 2024
DA - 2024/02/07
PB - Elsevier
SP - 104027
VL - 81
SN - 2214-8604
SN - 2214-7810
ER -
Cite this
BibTex (up to 50 authors)
Copy
@article{2024_Uzun,
author = {Fatih Uzun and H. C. Basoalto and Konstantinos Liogas and Mohamed Fares Slim and Mohamed Amine Slim and Tung Lik Lee and Cyril Besnard and ZIFAN WANG and Jingwei Chen and Igor P. Dolbnya and Alexander M. Korsunsky},
title = {TOMOGRAPHIC EIGENSTRAIN RECONSTRUCTION FOR FULL-FIELD RESIDUAL STRESS ANALYSIS IN LARGE SCALE ADDITIVE MANUFACTURING PARTS},
journal = {Additive Manufacturing},
year = {2024},
volume = {81},
publisher = {Elsevier},
month = {feb},
url = {https://linkinghub.elsevier.com/retrieve/pii/S2214860424000733},
pages = {104027},
doi = {10.1016/j.addma.2024.104027}
}
Labs
Profiles