Machine learning for property prediction and optimization of polymeric nanocomposites: a state-of-the-art
E Champa-Bujaico, P García-Díaz… - International Journal of …, 2022 - mdpi.com
Recently, the field of polymer nanocomposites has been an area of high scientific and
industrial attention due to noteworthy improvements attained in these materials, arising from …
industrial attention due to noteworthy improvements attained in these materials, arising from …
[PDF][PDF] Experimental and statistical study of surface roughness in CNC slot milling of AL 7075 alloy using full and fractional factorial design
This work deals with comparing the fractional and full factorial design of experiments on
evaluating surface roughness characteristics during slot milling of Al 7075 alloy. Mean …
evaluating surface roughness characteristics during slot milling of Al 7075 alloy. Mean …
A static load position identification method for optical fiber-composite structures based on particle swarm optimization-back Propagation neural network algorithm
LB Shen, LP Tian - Measurement and Control, 2023 - journals.sagepub.com
Aiming at researching on health monitoring of composite materials, a static load position
identification method for optical-fiber composite structures based on the Particle Swarm …
identification method for optical-fiber composite structures based on the Particle Swarm …
[PDF][PDF] Predicting Automotive Air Conditioning System Performance through Deep Learning.
PM Gavali, SD Yadav - FME Transactions, 2024 - mas.bg.ac.rs
Automotive Air Conditioning System (AACS) involves phase change of the refrigerant, to
provide a comfortable environment in the vehicle cabin. The phase change is governed by …
provide a comfortable environment in the vehicle cabin. The phase change is governed by …
A systematic approach of surface texture prediction during high-speed CNC turning of ARNE® (AISI O1) alloyed steel using response surface analysis and artificial …
NA Fountas, A Vencl… - International …, 2024 - inderscienceonline.com
The present research reports on the application of the artificial neural networks (ANNs) for
the modelling of processed surface texture parameters in turning of a high-strength, high …
the modelling of processed surface texture parameters in turning of a high-strength, high …
Tribological Behavior of Ultra-High Molecular Weight Polyethylene Polymer with Artificial Neural Network Modeling
This study presents the tribological properties, wear and friction, of ultra-high molecular
weight polyethylene under conditions of dry sliding and Hank's balanced salt solution …
weight polyethylene under conditions of dry sliding and Hank's balanced salt solution …