Recent developments in the application of machine-learning towards accelerated predictive multiscale design and additive manufacturing

SS Babu, AHI Mourad, KH Harib… - Virtual and Physical …, 2023 - Taylor & Francis
The application of three-dimensional (3D) printing/Additive Manufacturing (AM) for
develo** multi-functional smart/intelligent composite materials is a highly promising area …

Fundamental and estimation of thermal contact resistance between polymer matrix composites: A review

T Zhou, Y Zhao, Z Rao - International journal of heat and mass transfer, 2022 - Elsevier
The thermal contact resistance (TCR) between polymer matrix composites (PMCs) imposes
the significant impacts on the design, processing and application of these materials. This …

Machine learning for harnessing thermal energy: From materials discovery to system optimization

M Li, L Dai, Y Hu - ACS energy letters, 2022 - ACS Publications
Recent advances in machine learning (ML) have impacted research communities based on
statistical perspectives and uncovered invisibles from conventional standpoints. Though the …

A reinforcement learning approach to find optimal propulsion strategy for microrobots swimming at low reynolds number

I Jebellat, E Jebellat, A Amiri-Margavi… - Robotics and …, 2024 - Elsevier
The development of artificial microscopic robots, like synthetic microswimmers, is one of the
state-of-the-art research topics due to their promising biomedical applications. The …

[HTML][HTML] Evaluation of computational homogenization methods for the prediction of mechanical properties of additively manufactured metal parts

NG March, DR Gunasegaram, AB Murphy - Additive Manufacturing, 2023 - Elsevier
It is well known that the strongly location-dependent microstructures observed in metal parts
made using additive manufacturing (AM) processes differ from those found in components …

From processing to properties: Enhancing machine learning models with microstructural information in polymer nanocomposites

Z Wan, S Chen, X Feng, ZY Sun - Composites Communications, 2024 - Elsevier
For polymers and their composites, processing conditions and the resultant microstructures
are crucial in determining their properties. Traditional machine learning (ML) methods …

High thermal conductivity composite h-BN/EP obtained by pulsed square-wave electric field induction

L Liang, Y Feng, K Yang, Z Wang, Z Zhang, X Chen… - Polymer, 2024 - Elsevier
Electric fields are effective in inducing the orientation of highly thermally conductive fillers in
polymers to improve the thermal conductivity of composites. However, the study of the effect …

Micromechanics of thermal conductive composites: review, developments and applications

G Wang, Y Huang, M Gao, Q Chen - Acta Mechanica Solida Sinica, 2024 - Springer
Micromechanics investigations of composites with fiber-shaped reinforcement are
extensively applied in the engineering design and theoretical analysis of thermal …

Areca fiber reinforced bio-materials: a review on processing, properties and advanced optimization technique

S Thirupathi, E Mallichetty, V Gopalan… - Journal of Natural …, 2024 - Taylor & Francis
In this millennium, non-wood plants have emerged as a substitute for fibrous substantial
attributing to growth in population, industrialization and education. Natural fiber composites …

Recent Advancements in Material Waste Recycling: Conventional, Direct Conversion, and Additive Manufacturing Techniques

M Golvaskar, SA Ojo, M Kannan - Recycling, 2024 - mdpi.com
To improve the microstructure and mechanical properties of fundamental materials including
aluminum, stainless steel, superalloys, and titanium alloys, traditional manufacturing …