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 …
Computational study of heat transfer enhancement using porous foams with phase change materials: A comparative review
Phase change materials (PCMs) in thermal energy storage can improve energy efficiency
and sustainability, which notably makes them a potential solution to the problems of energy …
and sustainability, which notably makes them a potential solution to the problems of energy …
Water distillation tower: Experimental investigation, economic assessment, and performance prediction using optimized machine-learning model
Here we present a new compact design of a vertical water distillation tower based on solar
stills. The experimental setup consisted of a vertical tower with five water trays, supported by …
stills. The experimental setup consisted of a vertical tower with five water trays, supported by …
[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 …
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] 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 …
[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 …
[HTML][HTML] Enhancement and prediction of a stepped solar still productivity integrated with paraffin wax enriched with nano-additives
The present study deals with the emhancement of thermophysical properties of paraffin wax
using Silver nanoparticles and to study the feasibility of its application in a stepped solar still …
using Silver nanoparticles and to study the feasibility of its application in a stepped solar still …
Machine learning-based prediction and augmentation of dish solar distiller performance using an innovative convex stepped absorber and phase change material …
As well known, the solar distiller is one of the introduced solutions to the freshwater shortage
problem, but it is demerited by the low freshwater output. In this paper, a design modification …
problem, but it is demerited by the low freshwater output. In this paper, a design modification …
Performance prediction of a reverse osmosis unit using an optimized Long Short-term Memory model by hummingbird optimizer
The accessibility to freshwater suitable for human use is a modern problem in many
countries of the world. One of the well-known methods to overcome this problem is the …
countries of the world. One of the well-known methods to overcome this problem is the …