Three-Dimensional Printing Limitations of Polymers Reinforced with Continuous Stainless Steel Fibres and Curvature Stiffness DOI Open Access
Alison J. Clarke, Andrew Dickson, V. Milosavljević

et al.

Journal of Composites Science, Journal Year: 2024, Volume and Issue: 8(10), P. 410 - 410

Published: Oct. 6, 2024

This study investigates the printability limitations of 3D-printed continuous 316L stainless steel fibre-reinforced polymer composites obtained using Materials Extrusion (MEX) technique. The objective was to better understand geometric printing fabricated fibres, based on a combination bending stiffness testing and piezoresistive property studies. 0.5 mm composite filaments used in this were by co-extruding polylactic acid (PLA), with 316 L fibre (SSF) bundle. evaluated series ’teardrop’ shaped geometries angles range from 5° 90° radii between 2 20 mm. morphology dimensional measurements resulting PLA-SSF prints μCT scanning, optical microscopy, calliper measurements. Sample sets compared statistically examined evaluate repeatability, turning ability, geometrical print limitations, along fluctuations designed as-printed structures. Comparisons curvature made PLA-only nylon-reinforced short long carbon composites. It demonstrated that exhibited an increase at smaller radii. change piezoresistance response load applied during may have potential for use as structural health monitoring sensors.

Language: Английский

Smart self-healing and self-reporting coatings – an overview DOI
Viswanathan S. Saji

Progress in Organic Coatings, Journal Year: 2025, Volume and Issue: 205, P. 109318 - 109318

Published: April 14, 2025

Language: Английский

Citations

0
Multifunctional nanocomposite assessment using carbon nanotube fiber sensors DOI
Hassaan Ahmad Butt, Dmitry V. Krasnikov, Vladislav A. Kondrashov

et al.

Carbon, Journal Year: 2025, Volume and Issue: unknown, P. 120368 - 120368

Published: April 1, 2025

Language: Английский

Citations

0
A Machine Learning-Driven Wireless System for Structural Health Monitoring DOI Creative Commons

Marius Pop,

Mihai Tudose,

Daniel Alexandru Visan

et al.

INCAS BULLETIN, Journal Year: 2024, Volume and Issue: 16(3), P. 77 - 93

Published: Sept. 11, 2024

The paper presents a wireless system integrated with machine learning (ML) model for structural health monitoring (SHM) of carbon fiber reinforced polymer (CFRP) structures, primarily targeting aerospace applications. collects data via nanotube (CNT) piezoresistive sensors embedded within CFRP coupons, wirelessly transmitting these to central server processing. A deep neural network (DNN) predicts mechanical properties and can be extended forecast failures, facilitating proactive maintenance enhancing safety. modular design supports scalability digital twin frameworks, offering significant benefits aircraft operators manufacturers. utilizes an ML mean absolute error (MAE) 0.14 on test forecasting properties. Data transmission latency throughout the entire is less than one second in LAN setup, highlighting its potential real-time applications other industries. However, while shows promise, challenges such as sensor reliability under extreme environmental conditions need advanced models handle diverse streams have been identified areas future research.

Language: Английский

Citations

1
Three-Dimensional Printing Limitations of Polymers Reinforced with Continuous Stainless Steel Fibres and Curvature Stiffness DOI Open Access
Alison J. Clarke, Andrew Dickson, V. Milosavljević

et al.

Journal of Composites Science, Journal Year: 2024, Volume and Issue: 8(10), P. 410 - 410

Published: Oct. 6, 2024

This study investigates the printability limitations of 3D-printed continuous 316L stainless steel fibre-reinforced polymer composites obtained using Materials Extrusion (MEX) technique. The objective was to better understand geometric printing fabricated fibres, based on a combination bending stiffness testing and piezoresistive property studies. 0.5 mm composite filaments used in this were by co-extruding polylactic acid (PLA), with 316 L fibre (SSF) bundle. evaluated series ’teardrop’ shaped geometries angles range from 5° 90° radii between 2 20 mm. morphology dimensional measurements resulting PLA-SSF prints μCT scanning, optical microscopy, calliper measurements. Sample sets compared statistically examined evaluate repeatability, turning ability, geometrical print limitations, along fluctuations designed as-printed structures. Comparisons curvature made PLA-only nylon-reinforced short long carbon composites. It demonstrated that exhibited an increase at smaller radii. change piezoresistance response load applied during may have potential for use as structural health monitoring sensors.

Language: Английский

Citations

1