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 …
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
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 …
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
Polymer matrix composites reinforced with fibers/fillers are extensively used in several
tribological components of automotive and boating applications. The mechanical …
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
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 …
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
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 …
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 …
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
Fused deposition modeling (FDM) has been widely promoted as an emerging additive
manufacturing technology. With the growing demand for its commercialization, the …
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
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 …
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 …
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 …
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
This research paper presents a novel approach to predicting the surface roughness of
polylactic acid (PLA) specimens manufactured using the additive manufacturing process …
polylactic acid (PLA) specimens manufactured using the additive manufacturing process …