Applications of machine learning in friction stir welding: Prediction of joint properties, real-time control and tool failure diagnosis
AH Elsheikh - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
Abstract Machine learning (ML) methods have received immense attention as potential
models for modeling different manufacturing systems. This paper presents a comprehensive …
models for modeling different manufacturing systems. This paper presents a comprehensive …
Bistable morphing composites for energy-harvesting applications
A Elsheikh - Polymers, 2022 - mdpi.com
Bistable morphing composites have shown promising applications in energy harvesting due
to their capabilities to change their shape and maintain two different states without any …
to their capabilities to change their shape and maintain two different states without any …
Predicting characteristics of dissimilar laser welded polymeric joints using a multi-layer perceptrons model coupled with archimedes optimizer
EB Moustafa, A Elsheikh - Polymers, 2023 - mdpi.com
This study investigates the application of a coupled multi-layer perceptrons (MLP) model
with Archimedes optimizer (AO) to predict characteristics of dissimilar lap joints made of …
with Archimedes optimizer (AO) to predict characteristics of dissimilar lap joints made of …
A coupled artificial neural network with artificial rabbits optimizer for predicting water productivity of different designs of solar stills
In this study, a coupled multi-layer perceptrons (MLP) model with an artificial rabbits
optimizer (ARO) is developed to predict the water productivity of different designs of solar …
optimizer (ARO) is developed to predict the water productivity of different designs of solar …
[HTML][HTML] A new optimized artificial neural network model to predict thermal efficiency and water yield of tubular solar still
Tubular solar still is a simple light-weight desalination unit with a large condensing surface
compared with other types of solar stills. Regrettably, it suffers from the low water yield like …
compared with other types of solar stills. Regrettably, it suffers from the low water yield like …
Ensemble deep learning-based models to predict the resilient modulus of modified base materials subjected to wet-dry cycles
M Esmaeili-Falak, RS Benemaran - Geomechanics and …, 2023 - koreascience.kr
The resilient modulus (MR) of various pavement materials plays a significant role in the
pavement design by a mechanistic-empirical method. The MR determination is done by …
pavement design by a mechanistic-empirical method. The MR determination is done by …
[HTML][HTML] Recent progresses in wood-plastic composites: Pre-processing treatments, manufacturing techniques, recyclability and eco-friendly assessment
Wood-plastic composites (WPCs) have shown promising domestic and industrial
applications. Both virgin and waste materials have been used as matrix and reinforcement …
applications. Both virgin and waste materials have been used as matrix and reinforcement …
Low-cost bilayered structure for improving the performance of solar stills: Performance/cost analysis and water yield prediction using machine learning
This paper aims to enhance the performance of conventional solar still (CSS) using a low
cost heat localization bilayered structure (HLBS). The HLBS consists of a bottom supporting …
cost heat localization bilayered structure (HLBS). The HLBS consists of a bottom supporting …
[HTML][HTML] Productivity forecasting of solar distiller integrated with evacuated tubes and external condenser using artificial intelligence model and moth-flame optimizer
This paper aims at developing an artificial intelligence model to forecast the water yield of a
modified solar distiller integrated with evacuated tubes and an external condenser. The …
modified solar distiller integrated with evacuated tubes and an external condenser. The …
[HTML][HTML] Predicting kerf quality characteristics in laser cutting of basalt fibers reinforced polymer composites using neural network and chimp optimization
In this study, an optimized artificial intelligence model is developed to predict the kerf quality
characteristics in laser cutting of basalt fibers reinforced polymer composites. The model is …
characteristics in laser cutting of basalt fibers reinforced polymer composites. The model is …