Application of machine learning in polymer additive manufacturing: A review

T Nasrin, F Pourkamali‐Anaraki… - Journal of Polymer …, 2024 - Wiley Online Library
Additive manufacturing (AM) is a revolutionary technology that enables production of
intricate structures while minimizing material waste. However, its full potential has yet to be …

Metal–Organic Frameworks through the Lens of Artificial Intelligence: A Comprehensive Review

K Neikha, A Puzari - Langmuir, 2024 - ACS Publications
Metal–organic frameworks (MOFs) are a class of hybrid porous materials that have gained
prominence as a noteworthy material with varied applications. Currently, MOFs are in …

[HTML][HTML] Tribological properties of CNT-filled epoxy-carbon fabric composites: optimization and modelling by machine learning

MD Kiran, LY BR, A Babbar, R Kumar, SC HS… - Journal of Materials …, 2024 - Elsevier
Polymer matrix composites reinforced with fibers/fillers are extensively used in several
tribological components of automotive and boating applications. The mechanical …

[HTML][HTML] Characteristics of pulsating heat pipe with variation of tube diameter, filling ratio, and SiO2 nanoparticles: Biomedical and engineering implications

ER Babu, NC Reddy, A Babbar… - Case Studies in Thermal …, 2024 - Elsevier
Pulsating heat pipe (PHP) is an implicit technique through a passive two-stage heat transfer
system. This paper presents the experimentations on PHP contrived using copper with …

Hybrid additive manufacturing of highly sustainable polylactic acid-carbon fiber-polylactic acid sandwiched composite structures: optimization and machine learning

V Thakur, R Kumar, R Kumar… - Journal of …, 2024 - journals.sagepub.com
Carbon fibre (CF) based polymeric composites are being used in automobile and aviation
applications due to their lightweight, excellent mechanical and physical properties. In this …

Plain-Woven Areca Sheath Fiber-Reinforced Epoxy Composites: The Influence of the Fiber Fraction on Physical and Mechanical Features and Responses of the Tribo …

SP Subramanyam, DK Kotikula, B Bennehalli… - ACS …, 2024 - ACS Publications
Recent studies focus on enhancing the mechanical features of natural fiber composites to
replace synthetic fibers that are highly useful in the building, automotive, and packing …

Deep adversarial learning system for fault diagnosis in fused deposition modeling with imbalanced data

L Tan, T Huang, J Liu, Q Li, X Wu - Computers & Industrial Engineering, 2023 - Elsevier
Fused deposition modeling (FDM) has been widely promoted as an emerging additive
manufacturing technology. With the growing demand for its commercialization, the …

Predictive modeling of compressive strength for additively manufactured PEEK spinal fusion cages using machine learning techniques

NK Sivakumar, S Palaniyappan, M Bodaghi… - Materials Today …, 2024 - Elsevier
The current study delves into the utilization of Machine Learning (ML) algorithms to evaluate
the mechanical properties of additively manufactured PEEK spinal fusion cages. In this …

Acrylonitrile Butadiene Styrene-ZrO2 Composites for Roller Burnishing as Post-processing of 3D Printed Parts: Machine Learning Modeling Using Classification and …

K Badogu, V Thakur, R Kumar, R Kumar… - Journal of Materials …, 2023 - Springer
Parts manufactured by additive manufacturing (AM) are criticized due to the high surface
roughness. Roller burnishing is one of the post-processing processes which may be applied …

Novel coupled genetic algorithm–machine learning approach for predicting surface roughness in fused deposition modeling of polylactic acid specimens

A Mishra, VS Jatti - Journal of Materials Engineering and Performance, 2024 - Springer
This research paper presents a novel approach to predicting the surface roughness of
polylactic acid (PLA) specimens manufactured using the additive manufacturing process …