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 …

Effect of sensible heat storage materials on the thermal performance of solar air heaters: State-of-the-art review

PR Olivkar, VP Katekar, SS Deshmukh… - … and Sustainable Energy …, 2022 - Elsevier
Solar air heaters are the most cost-effective method of converting solar energy into heat and
are used for room heating, crop drying, and other industrial uses. However, they suffer from …

[HTML][HTML] A new optimized artificial neural network model to predict thermal efficiency and water yield of tubular solar still

EB Moustafa, AH Hammad, AH Elsheikh - Case Studies in Thermal …, 2022 - Elsevier
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 …

A coupled artificial neural network with artificial rabbits optimizer for predicting water productivity of different designs of solar stills

AO Alsaiari, EB Moustafa, H Alhumade… - … in Engineering Software, 2023 - Elsevier
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 …

Low-cost bilayered structure for improving the performance of solar stills: Performance/cost analysis and water yield prediction using machine learning

AH Elsheikh, S Shanmugan, R Sathyamurthy… - Sustainable Energy …, 2022 - Elsevier
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 …

[HTML][HTML] Productivity forecasting of solar distiller integrated with evacuated tubes and external condenser using artificial intelligence model and moth-flame optimizer

AH Elsheikh, H Panchal, M Ahmadein… - Case Studies in Thermal …, 2021 - Elsevier
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 …

[HTML][HTML] Predicting kerf quality characteristics in laser cutting of basalt fibers reinforced polymer composites using neural network and chimp optimization

IMR Najjar, AM Sadoun, M Abd Elaziz… - Alexandria Engineering …, 2022 - Elsevier
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 …

[HTML][HTML] Performance assessment of a novel solar distiller with a double slope basin covered by coated wick with lanthanum cobalt oxide nanoparticles

EI Ghandourah, A Sangeetha, S Shanmugan… - Case Studies in Thermal …, 2022 - Elsevier
Solar distillers are simple desalination systems used to produce freshwater from saline
water by utilizing solar energy. The low water yield is the key drawback of solar distillers. In …

Enhancement and prediction of a stepped solar still productivity integrated with paraffin wax enriched with nano-additives

E Banoqitah, R Sathyamurthy, EB Moustafa… - Case Studies in Thermal …, 2023 - Elsevier
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 …

A new optimized predictive model based on political optimizer for eco-friendly MQL-turning of AISI 4340 alloy with nano-lubricants

AH Elsheikh, M Abd Elaziz, SR Das… - Journal of Manufacturing …, 2021 - Elsevier
Metal cutting using flood cooling has serious impacts on the environment and operator
health. Therefore, the minimum quantity lubricant (MQL) technique has been proposed as a …