Advances in computational intelligence of polymer composite materials: machine learning assisted modeling, analysis and design

A Sharma, T Mukhopadhyay, SM Rangappa… - … Methods in Engineering, 2022 - Springer
The superior multi-functional properties of polymer composites have made them an ideal
choice for aerospace, automobile, marine, civil, and many other technologically demanding …

The role of artificial neural networks in prediction of mechanical and tribological properties of composites—a comprehensive review

UMR Paturi, S Cheruku, NS Reddy - Archives of Computational Methods …, 2022 - Springer
The artificial neural network (ANN) approach motivated by the biological nervous system is
an inspiring mathematical tool that simulates many complicated engineering applications …

Development of machine learning methods for mechanical problems associated with fibre composite materials: A review

M Liu, H Li, H Zhou, H Zhang, G Huang - Composites Communications, 2024 - Elsevier
Fibre composite materials (FCMs) are widely used in the aerospace, military defence, and
engineering manufacturing industries due to their high strength and high modulus …

Textile-based natural fibre-reinforced polymeric composites in automotive lightweighting

S Olhan, V Khatkar, BK Behera - Journal of Materials Science, 2021 - Springer
Environmental stringent norms, weight reduction, and the ever-depleting mode of petroleum
resources have stimulated the use of textile-based natural fibres as reinforcement in …

Techniques for modelling and optimizing the mechanical properties of natural fiber composites: A review

TK Mulenga, AU Ude, C Vivekanandhan - Fibers, 2021 - mdpi.com
The study of natural fiber-based composites through the use of computational techniques for
modelling and optimizing their properties has emerged as a fast-growing approach in recent …

[HTML][HTML] Machine learning prediction of mechanical properties of braided-textile reinforced tubular structures

W Wang, H Wang, J Zhou, H Fan, X Liu - Materials & Design, 2021 - Elsevier
Braided-textile composites have been applied in various engineering fields and used for
high-efficiency energy absorbers to meet different loading requirements. However, it's …

Properties prediction of composites based on machine learning models: A focus on statistical index approaches

B Dev, MA Rahman, MJ Islam, MZ Rahman… - Materials Today …, 2024 - Elsevier
Composites have a wide range of applications across various industries due to their high
strength-to-weight ratio, corrosion resistance, durability, versatility, and lightweight …

Investigation of energy absorption in hybridized fiber-reinforced polymer composites under high-velocity impact loading

MV Mousavi, H Khoramishad - International Journal of Impact Engineering, 2020 - Elsevier
In this paper, the energy absorption capability of hybridized carbon fiber-reinforced polymer
(CFRP) composites with Kevlar and glass layers subjected to high-velocity impact loading …

Classification of textile polymer composites: Recent trends and challenges

N Amor, MT Noman, M Petru - Polymers, 2021 - mdpi.com
Polymer based textile composites have gained much attention in recent years and gradually
transformed the growth of industries especially automobiles, construction, aerospace and …

Synthesis and characterization of polyhydroxyalkanoate/graphene oxide/nanoclay bionanocomposites: Experimental results and theoretical predictions via machine …

E Champa-Bujaico, AM Díez-Pascual, P García-Díaz - Biomolecules, 2023 - mdpi.com
Predicting the mechanical properties of multiscale nanocomposites requires simulations that
are costly from a practical viewpoint and time consuming. The use of algorithms for property …