Additively manufactured composite lattices: A state-of-the-art review on fabrications, architectures, constituent materials, mechanical properties, and future directions

S Aghajani, C Wu, Q Li, J Fang - Thin-Walled Structures, 2024 - Elsevier
Finding ideal materials remains a crucial challenge in the aerospace, automotive,
construction, and biomedical industries. Moreover, a growing concern about environmental …

[HTML][HTML] Additive manufacturing in polymer research: Advances, synthesis, and applications

MA Islam, MH Mobarak, MIH Rimon, MZ Al Mahmud… - Polymer Testing, 2024 - Elsevier
This study delves into how additive manufacturing has revolutionized the production of
polymers over the last three decades. Traditional polymer production finds it difficult to fulfill …

Artificial-intelligence-led revolution of construction materials: From molecules to Industry 4.0

XQ Wang, P Chen, CL Chow, D Lau - Matter, 2023 - cell.com
Industry 4.0 promotes the transformation of manufacturing industry to intelligence, which
demands advances in materials, devices, and systems of the construction industry …

[HTML][HTML] Influence of printing conditions on the extrudate shape and fiber orientation in extrusion deposition additive manufacturing

P Pibulchinda, E Barocio, AJ Favaloro… - Composites Part B …, 2023 - Elsevier
A numerical framework was developed in this study to investigate the influence of relevant
Extrusion Deposition Additive Manufacturing (EDAM) processing conditions on the final fiber …

Machine learning-based multi-objective optimization and physical-geometrical competitive mechanisms for 3D woven thermal protection composites

H Liang, W Li, Y Li, Y Li - International Journal of Heat and Mass Transfer, 2024 - Elsevier
Abstract 3D woven composite materials are prime candidates for thermal protection due to
their significant thermophysical properties, which necessitates accurate prediction of these …

[HTML][HTML] Manufacturing Technology of Lightweight Fiber-Reinforced Composite Structures in aerospace: current situation and toward intellectualization

Y Chen, J Zhang, Z Li, H Zhang, J Chen, W Yang, T Yu… - Aerospace, 2023 - mdpi.com
Lightweight fiber-reinforced composite structures have been applied in aerospace for
decades. Their mechanical properties are crucial for the safety of aircraft and mainly depend …

Machine learning-assisted investigation of anisotropic elasticity in metallic alloys

W Zhang, HA Alkhazaleh, M Samavatian… - Materials Today …, 2024 - Elsevier
This study aims to develop a machine learning (ML)-based method for predicting the
elasticity tensor of anisotropic metallic alloys with 21 independent constants. In this respect …

Machine learning applications in optical fiber sensing: A research agenda

E Reyes-Vera, A Valencia-Arias, V García-Pineda… - Sensors, 2024 - mdpi.com
The constant monitoring and control of various health, infrastructure, and natural factors
have led to the design and development of technological devices in a wide range of fields …

Natural rubber blend optimization via data-driven modeling: The implementation for reverse engineering

AJ Román, S Qin, JC Rodríguez, LD González… - Polymers, 2022 - mdpi.com
Natural rubber formulation methodologies implemented within industry primarily implicate a
high dependence on the formulator's experience as it involves an educated guess-and …

Vibration optimization of cantilevered bistable composite shells based on machine learning

C Wu, R Zhang, F Tang, M Fan - Engineering Applications of Artificial …, 2023 - Elsevier
Bistable composite shells with high storage efficiency have great potential applications in
deployable space structures. This paper proposes a constrained vibration optimization …
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