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 …

Water distillation tower: Experimental investigation, economic assessment, and performance prediction using optimized machine-learning model

AH Elsheikh, EMS El-Said, M Abd Elaziz, M Fujii… - Journal of Cleaner …, 2023 - Elsevier
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 …

A comprehensive review on residual stresses in turning

AH Elsheikh, S Shanmugan… - Advances in …, 2022 - Springer
Residual stresses induced during turning processes can affect the quality and performance
of machined products, depending on its direction and magnitude. Residual stresses can be …

Utilization of LSTM neural network for water production forecasting of a stepped solar still with a corrugated absorber plate

AH Elsheikh, VP Katekar, OL Muskens… - Process Safety and …, 2021 - Elsevier
This study introduces a long short-term memory (LSTM) neural network model to forecast the
freshwater yield of a stepped solar still and a conventional one. The stepped solar still was …

[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 …

Forecasting the prevalence of COVID-19 outbreak in Egypt using nonlinear autoregressive artificial neural networks

AI Saba, AH Elsheikh - Process safety and environmental protection, 2020 - Elsevier
Abstract SARS-CoV-2 (COVID-19) is a new Coronavirus, with first reported human infections
in late 2019. COVID-19 has been officially declared as a universal pandemic by the World …

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 …

Deep learning-based forecasting model for COVID-19 outbreak in Saudi Arabia

AH Elsheikh, AI Saba, M Abd Elaziz, S Lu… - Process Safety and …, 2021 - Elsevier
COVID-19 outbreak has become a global pandemic that affected more than 200 countries.
Predicting the epidemiological behavior of this outbreak has a vital role to prevent its …

Prediction of laser cutting parameters for polymethylmethacrylate sheets using random vector functional link network integrated with equilibrium optimizer

AH Elsheikh, TA Shehabeldeen, J Zhou… - Journal of Intelligent …, 2021 - Springer
In this paper, an enhanced random vector functional link network (RVFL) algorithm was
employed to predict kerf quality indices during CO 2 laser cutting of polymethylmethacrylate …

Modeling ultrasonic welding of polymers using an optimized artificial intelligence model using a gradient-based optimizer

AH Elsheikh, M Abd Elaziz, A Vendan - Welding in the World, 2022 - Springer
In this study, a new hybrid artificial intelligence approach is proposed to model the ultrasonic
welding of a polymeric material blend. The proposed approach is composed of an ensemble …