Self‐powered wearable piezoelectric monitoring of human motion and physiological signals for the postpandemic era: a review
Y Wang, Y Yu, X Wei, F Narita - Advanced Materials …, 2022 - Wiley Online Library
As society advances, the shift from passive medical care to health management and
preventive medical care has become an important issue, with the realization of wearable …
preventive medical care has become an important issue, with the realization of wearable …
Recent developments and future trends in fatigue life assessment of additively manufactured metals with particular emphasis on machine learning modeling
Z Zhan, X He, D Tang, L Dang, A Li… - Fatigue & Fracture of …, 2023 - Wiley Online Library
Additive manufacturing (AM) has emerged as a very promising technology for producing
complex metallic components with enhanced design flexibility. However, the mechanical …
complex metallic components with enhanced design flexibility. However, the mechanical …
Enhanced Network QoS in Large Scale and High Sensor Node Density Wireless Sensor Networks Using (IR-DV-Hop) localization algorithm and mobile data collector …
This paper poses new challenges, especially when designing routing protocols to improve
the quality of service (QoS) criteria and the lifetime of large-scale wireless sensor networks …
the quality of service (QoS) criteria and the lifetime of large-scale wireless sensor networks …
Multi-scale correlation of impact-induced defects in carbon fiber composites using X-ray scattering and machine learning
AH Sexton, H Suhonen, MK Huss-Hansen… - Scientific Reports, 2024 - nature.com
Impact-induced defects in carbon fiber-reinforced polymers (CFRPs)-spanning from
nanometer to macroscopic length scales-can be monitored using an aggregate of X-ray …
nanometer to macroscopic length scales-can be monitored using an aggregate of X-ray …
Novel process for monitoring stress in carbon fiber reinforced polymer composites using magnetostrictive wires from cryogenic to high temperatures
K Katabira, R Komagome, F Narita - Mechanics of Advanced …, 2024 - Taylor & Francis
Carbon-fiber-reinforced polymer (CFRP) is widely used in aerospace owing to its high
strength, high elasticity, and low density. Recently, CFRP has been used at different …
strength, high elasticity, and low density. Recently, CFRP has been used at different …
Experimental investigations ANN and GEP modeling of failure load for AA7075-T6/CFRP adhesive bond
B Hamamci - Neural Computing and Applications, 2023 - Springer
It is known that bond strength is affected by the application conditions and methods of
adhesive connections. Knowing which method can increase the joint strength more and …
adhesive connections. Knowing which method can increase the joint strength more and …
Classifying Tensile Loading History of Continuous Carbon Fiber Composites Using X‐Ray Scattering and Machine Learning
A Sexton, M Kanters, H Demchenko… - Advanced …, 2024 - Wiley Online Library
The tensile loading history of continuous carbon fiber composites is classified using
machine learning (ML) and crystallographic data from the polymer matrix. Composites with …
machine learning (ML) and crystallographic data from the polymer matrix. Composites with …
The influence of several carbon fiber architecture on the drapability effect
YP Chuves, M Pitanga, I Grether, MO Cioffi, F Monticeli - Textiles, 2022 - mdpi.com
The growth of the aeronautical sector leads to the growth of polymer composites application,
creating new demand for components applications in complex dimensions and shapes …
creating new demand for components applications in complex dimensions and shapes …
Predicting the mechanical behavior of carbon fiber-reinforced polymer using machine learning methods: a systematic review
FM Monticeli, FC Alves, LF de Paula Santos… - Machine Intelligence in …, 2024 - Elsevier
Considering the complexity of the mechanic analysis in advanced composite materials,
studies in the literature have demonstrated the use of machine learning (ML) methods …
studies in the literature have demonstrated the use of machine learning (ML) methods …
Análise estrutural de compósitos auto-regeneráveis via RTM: delaminação no modo II de abertura da trinca
MY Pitanga - 2024 - repositorio.unesp.br
O uso de compósitos tem tido um destaque crescente na indústria, principalmente nas
áreas aeronáutica e aeroespacial. Esses materiais possuem diversas vantagens, dentre as …
áreas aeronáutica e aeroespacial. Esses materiais possuem diversas vantagens, dentre as …