Enhancing Interlaminar Bonding Quality Estimation in Laser-Assisted Fiber Placement of CF/PEKK Composites: A Correction Factor Approach for Improved Prediction of Intimate Contact
Publication type: Journal Article
Publication date: 2024-06-01
scimago Q1
wos Q1
SJR: 1.761
CiteScore: 14.8
Impact factor: 8.9
ISSN: 1359835X, 18785840
Ceramics and Composites
Mechanics of Materials
Abstract
This study introduces an innovative Modified Mantell and Springer (MMS) model to more accurately assess degree of intimate contact with improved accuracy for laser-assisted fiber placement (LAFP), which also significantly enhances the subsequent degree of healing estimation and enables the presentation of an improved degree of bonding. Process parameters such as placement speed and consolidation forces, and fiber orientation are identified as key determinants of bonding quality. Lower placement speeds and higher consolidation forces are linked to increased healing and intimate contact between layers, crucial for achieving desired degree of bonding. The MMS model proves effective in capturing the influence of fiber orientation, revealing that [0°/0°] orientation exhibits superior bonding strength. Validation through T-peel tests provides tangible evidence of the model's precision, aligning fracture surface observations with model predictions. This research contributes to a comprehensive understanding and prediction of composite bonding quality, offering valuable insights for optimizing manufacturing processes and enhancing the mechanical performance of composites manufactured with LAFP.
Found
Nothing found, try to update filter.
Found
Nothing found, try to update filter.
Top-30
Journals
|
1
2
|
|
|
Polymer Composites
2 publications, 28.57%
|
|
|
Composites - Part A: Applied Science and Manufacturing
1 publication, 14.29%
|
|
|
Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications
1 publication, 14.29%
|
|
|
Composites Part B: Engineering
1 publication, 14.29%
|
|
|
Composites Science and Technology
1 publication, 14.29%
|
|
|
Journal of Materials Research and Technology
1 publication, 14.29%
|
|
|
1
2
|
Publishers
|
1
2
3
4
|
|
|
Elsevier
4 publications, 57.14%
|
|
|
Wiley
2 publications, 28.57%
|
|
|
SAGE
1 publication, 14.29%
|
|
|
1
2
3
4
|
- 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
7
Total citations:
7
Citations from 2024:
7
(100%)
Cite this
GOST |
RIS |
BibTex
Cite this
GOST
Copy
Barzegar A. et al. Enhancing Interlaminar Bonding Quality Estimation in Laser-Assisted Fiber Placement of CF/PEKK Composites: A Correction Factor Approach for Improved Prediction of Intimate Contact // Composites - Part A: Applied Science and Manufacturing. 2024. Vol. 181. p. 108095.
GOST all authors (up to 50)
Copy
Barzegar A., Karimi S., Sas H. S., Yildiz M. Enhancing Interlaminar Bonding Quality Estimation in Laser-Assisted Fiber Placement of CF/PEKK Composites: A Correction Factor Approach for Improved Prediction of Intimate Contact // Composites - Part A: Applied Science and Manufacturing. 2024. Vol. 181. p. 108095.
Cite this
RIS
Copy
TY - JOUR
DO - 10.1016/j.compositesa.2024.108095
UR - https://linkinghub.elsevier.com/retrieve/pii/S1359835X24000927
TI - Enhancing Interlaminar Bonding Quality Estimation in Laser-Assisted Fiber Placement of CF/PEKK Composites: A Correction Factor Approach for Improved Prediction of Intimate Contact
T2 - Composites - Part A: Applied Science and Manufacturing
AU - Barzegar, Ali
AU - Karimi, Sasan
AU - Sas, Hatice S
AU - Yildiz, Mehmet
PY - 2024
DA - 2024/06/01
PB - Elsevier
SP - 108095
VL - 181
SN - 1359-835X
SN - 1878-5840
ER -
Cite this
BibTex (up to 50 authors)
Copy
@article{2024_Barzegar,
author = {Ali Barzegar and Sasan Karimi and Hatice S Sas and Mehmet Yildiz},
title = {Enhancing Interlaminar Bonding Quality Estimation in Laser-Assisted Fiber Placement of CF/PEKK Composites: A Correction Factor Approach for Improved Prediction of Intimate Contact},
journal = {Composites - Part A: Applied Science and Manufacturing},
year = {2024},
volume = {181},
publisher = {Elsevier},
month = {jun},
url = {https://linkinghub.elsevier.com/retrieve/pii/S1359835X24000927},
pages = {108095},
doi = {10.1016/j.compositesa.2024.108095}
}