Carbon fiber reinforced polymer in drilling: From damage mechanisms to suppression
T Gao, C Li, Y Wang, X Liu, Q An, HN Li, Y Zhang… - Composite …, 2022 - Elsevier
Realizing the integrated manufacturing of components with high specific strength and
stiffness is easy using carbon fiber reinforced polymer (CFRP), which has become the …
stiffness is easy using carbon fiber reinforced polymer (CFRP), which has become the …
A critical review addressing drilling-induced damage of CFRP composites
Carbon fiber reinforced polymers (CFRPs) have been extensively used in diverse industrial
fields owing to their superior properties and excellent functions. Mechanical drilling has …
fields owing to their superior properties and excellent functions. Mechanical drilling has …
Advances, limitations and prospects of nondestructive testing and evaluation of thick composites and sandwich structures: A state-of-the-art review
W Nsengiyumva, S Zhong, J Lin, Q Zhang, J Zhong… - Composite …, 2021 - Elsevier
In recent years, composite materials have gained popularity in numerous high-tech and
engineering applications, owing to their outstanding physico-mechanical properties. They …
engineering applications, owing to their outstanding physico-mechanical properties. They …
[HTML][HTML] A review on CFRP drilling: fundamental mechanisms, damage issues, and approaches toward high-quality drilling
Carbon fiber reinforced polymer (CFRP) composites have become increasingly attractive in
modern industrial fields in view of their unique properties and superior functionalities. CFRP …
modern industrial fields in view of their unique properties and superior functionalities. CFRP …
Study of drilling-induced defects for CFRP composites using new criteria
J Xu, C Li, S Mi, Q An, M Chen - Composite Structures, 2018 - Elsevier
Drilling carbon fiber reinforced polymer (CFRP) composites is liable to generate serious
defects including burrs, tearing, delamination, fiber pullouts and matrix degradation because …
defects including burrs, tearing, delamination, fiber pullouts and matrix degradation because …
A comparative study on tool wear and laminate damage in drilling of carbon-fiber reinforced polymers (CFRP)
S Gaugel, P Sripathy, A Haeger, D Meinhard… - Composite …, 2016 - Elsevier
Preliminary to successful assembling, drilling of composites like carbon-fiber reinforced
polymers (CFRP) is an important but difficult process. The anisotropic and heterogeneous …
polymers (CFRP) is an important but difficult process. The anisotropic and heterogeneous …
Machinability of natural fiber reinforced composites: a review
In the recent years with greater emphasis on the environmental and sustainability aspects of
engineering materials, natural fiber reinforced composites (NFRCs) are gaining more …
engineering materials, natural fiber reinforced composites (NFRCs) are gaining more …
A review on the drilling of CFRP/Ti stacks: Machining characteristics, damage mechanisms and suppression strategies at stack interface
F Jiao, Y Li, Y Niu, Z Zhang, W Bie - Composite Structures, 2023 - Elsevier
Carbon fiber reinforced polymer (CFRP)/titanium alloy (Ti) stacks have promising application
in aerospace field due to their excellent mechanical properties. During integrated drilling of …
in aerospace field due to their excellent mechanical properties. During integrated drilling of …
[HTML][HTML] Multi-objective optimization of thermoplastic CF/PEKK drilling through a hybrid method: An approach towards sustainable manufacturing
Abstract Carbon-fibre-reinforced-polyetherketonketone (CF/PEKK) has attracted increasing
interest in the aviation industry due to its self-healing properties and ease of recycle and …
interest in the aviation industry due to its self-healing properties and ease of recycle and …
Autonomous assessment of delamination in laminated composites using deep learning and data augmentation
Deep learning models can autonomously learn discriminative features from the data;
however, insufficient training data often limit their use. This paper proposes a synthetic data …
however, insufficient training data often limit their use. This paper proposes a synthetic data …