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 …

A review of machine learning for progressive damage modelling of fiber-reinforced composites

JYY Loh, KM Yeoh, K Raju, VNH Pham… - Applied Composite …, 2024 - Springer
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 …

[HTML][HTML] Material selection of natural fibre using a stepwise regression model with error analysis

M Noryani, SM Sapuan, MT Mastura, MYM Zuhri… - Journal of Materials …, 2019 - Elsevier
The nature of natural fibre such as it is lightweight, recyclable, biodegradable and gives a
high performance in relation to its mechanical properties makes this material an excellent …

Comparison of ML algorithms for prediction of tensile strength of polymer matrix composites

A Mahajan, S Bajoliya, S Khandelwal… - Materials Today …, 2022 - Elsevier
Abstract Machine learning (ML) algorithms based on mathematical and statistical methods
are being extensively used for mimicking human decisions in the industry. The current …

Refining of banana fiber for load bearing application through emulsion treatment and its comparison with other traditional methods

M Bar, H Belay, R Alagirusamy, A Das… - Journal of Natural …, 2022 - Taylor & Francis
Following their mechanical extraction, the fibers coming from the banana pseudo-stem are
coarse and the inter fiber cohesive substances need to be removed before their …

Physico-mechanical properties investigation of sponge-gourd and betel nut reinforced hybrid polyester composites

MM Haque, M Rejaul Haque, MR Munshi… - Advances in Materials …, 2021 - Taylor & Francis
Researches have already been focused on renewable fibre as one of the reinforcements in
composite materials during past few years. In this research, locally available inexpensive …

Machine learning techniques for the design and optimization of polymer composites: a review

J Maniraj, FS Arockiasamy, CR Kumar… - E3S Web of …, 2023 - e3s-conferences.org
Polymer composites are employed in a variety of applications due to their distinctive
characteristics. Nevertheless, designing and optimizing these materials can be a lengthy …

[HTML][HTML] Statistical analysis, regression, and neural network modeling of the tensile strength of thermoplastic unidirectional carbon fiber-polysulfone composites

AA Stepashkin, NY Nikitin - Carbon Trends, 2024 - Elsevier
Annotation High-strength and high-modulus carbon fibers are the basis of many composite
materials used in power and automotive engineering as well as other mechanical …

Sustainable materials selection: principles and applications

MA Shaharuzaman, SM Sapuan, MR Mansor - Design for Sustainability, 2021 - Elsevier
The use of sustainable materials is one of the most important principles in the design for
sustainability (DfS) approach, especially during the early stages of product and process …

Correlation study on physical properties and mechanical properties of kenaf fibre composites

M Noryani, HJ Aida, R Nadlene, MT Mastura… - Materials Today …, 2022 - Elsevier
Identifying the correlation between the physical and mechanical properties of the natural
plant is important in material characterization by performing the statistical approach. The …