Advances in computational intelligence of polymer composite materials: machine learning assisted modeling, analysis and design
The superior multi-functional properties of polymer composites have made them an ideal
choice for aerospace, automobile, marine, civil, and many other technologically demanding …
choice for aerospace, automobile, marine, civil, and many other technologically demanding …
Machine learning‐driven biomaterials evolution
Biomaterials is an exciting and dynamic field, which uses a collection of diverse materials to
achieve desired biological responses. While there is constant evolution and innovation in …
achieve desired biological responses. While there is constant evolution and innovation in …
Review of advanced techniques for manufacturing biocomposites: Non-destructive evaluation and artificial intelligence-assisted modeling
J Preethikaharshini, K Naresh, G Rajeshkumar… - Journal of Materials …, 2022 - Springer
Natural fiber-reinforced polymer composites (NFRPCs) are being widely used in aerospace,
marine, automotive and healthcare applications due to their sustainability, low cost and …
marine, automotive and healthcare applications due to their sustainability, low cost and …
[HTML][HTML] Advances in machine learning-aided design of reinforced polymer composite and hybrid material systems
Reinforced composite is a preferred choice of material for the design of industrial lightweight
structures. As of late, composite materials analysis and development utilizing machine …
structures. As of late, composite materials analysis and development utilizing machine …
Properties prediction of composites based on machine learning models: A focus on statistical index approaches
Composites have a wide range of applications across various industries due to their high
strength-to-weight ratio, corrosion resistance, durability, versatility, and lightweight …
strength-to-weight ratio, corrosion resistance, durability, versatility, and lightweight …
[HTML][HTML] Using machine learning to predict the long-term performance of fibre-reinforced polymer structures: A state-of-the-art review
When exposed to environmental conditions, fibre-reinforced polymer (FRP) composites are
prone to material degradation. The environmental reduction factor in different structural …
prone to material degradation. The environmental reduction factor in different structural …
A review on computational intelligence methods for modelling of light weight composite materials
Light weight composite materials (LWCM) have gained tremendous attention, thanks to their
low cost, eco-friendly nature, biodegradability, life-cycle superiority, noble mechanical …
low cost, eco-friendly nature, biodegradability, life-cycle superiority, noble mechanical …
Structure genome based machine learning method for woven lattice structures
C Zhang, B Wang, H Zhu, H Fan - International Journal of Mechanical …, 2023 - Elsevier
As a type of lightweight composite material, three-dimensional (3D) woven lattice structure
(WLS) has been extensively applied in various fields. It is extremely significant to investigate …
(WLS) has been extensively applied in various fields. It is extremely significant to investigate …
A review of machine learning for progressive damage modelling of fiber-reinforced composites
The accurate prediction of failure of load-bearing fiber-reinforced structures remains a
challenge due to the complex interacting failure modes at multiple length scales. In recent …
challenge due to the complex interacting failure modes at multiple length scales. In recent …
[HTML][HTML] Harvesting tacit knowledge for composites workforce development
J Summerscales - Composites Part A: Applied Science and …, 2024 - Elsevier
Explicit knowledge can often be shared through textbooks, technical papers, instruction
manuals, guides, and videos. It is normally objective, logical and technical. However, tacit …
manuals, guides, and videos. It is normally objective, logical and technical. However, tacit …