Article
Automation & Control Systems
Wenbin Xu, Jiaheng Zhang, Qiu Pang, Zhi-li Hu
Summary: Aluminum alloy tailor-welded blank (TWB) forming is a promising technique for lightweight and structurally efficient components in aerospace and automotive industries. This study focuses on dissimilar friction stir welding (FSW) of 2024-O and 7075-O aluminum alloys to investigate the formability and deformation behavior under different strength-mismatched conditions. The results show that the heterogeneous microstructure of the dissimilar FSW joint leads to inhomogeneous deformation and reduced elongation. However, annealing heat treatment at 350 degrees Celsius effectively improves the uniformity of deformation and increases the elongation from 8.5% to 12.8%.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2023)
Article
Engineering, Civil
Youngje Choi, Jungwon Ji, Eunkyung Lee, Sunmi Lee, Sooyeon Yi, Jaeeung Yi
Summary: Climate change affects water demand and supply, leading to more severe droughts and floods. To address this, the South Korean government added a water supply function to the Hwacheon reservoir that was originally built for hydropower. However, a water supply rule curve is missing. In this study, we develop a rule curve using optimization techniques and evaluate its performance compared to the firm supply method. The results show that the developed rule curve performs better and the Improved Grey Wolf Optimizer algorithm is the most effective.
WATER RESOURCES MANAGEMENT
(2023)
Article
Metallurgy & Metallurgical Engineering
Han Wei-hao, Li Pei, Liu Nan, Chen Cun-guang, Dong Shi-peng, Guo Zhi-meng, Yang Fang, Sui Yan-li, Alex A. Volinsky
Summary: The extruded plate of powder metallurgy AA2024 aluminum alloy was solid-state joined by friction stir welding (FSW), demonstrating its potential applications in aerospace and automotive industries. Optimized processing parameters resulted in high quality welds with good mechanical properties and microstructure.
JOURNAL OF CENTRAL SOUTH UNIVERSITY
(2022)
Article
Materials Science, Multidisciplinary
Abdollah Lalpour, Masoud Mosallaee, Ali Ashra Fi, Alireza Zargaran
Summary: Friction stir processing (FSP) was performed on 2024 aluminum alloy sheets using two different cooling rates. The effects of these cooling rates on microstructures and precipitates were investigated. It was found that the cooling rate significantly affected the grain size and grain boundary structure, and resulted in the dissolution or formation of different precipitates.
MATERIALS TRANSACTIONS
(2023)
Article
Computer Science, Information Systems
Xiaoqing Zhang, Yuye Zhang, Zhengfeng Ming
Summary: The dynamic grey wolf optimizers improve the iterative convergence rate by eliminating the waiting period for updating the search wolf's position. Research shows that, for the same improved algorithm, the performance of the dynamic GWO-based algorithm is generally better than that of the static GWO-based algorithm.
FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING
(2021)
Article
Computer Science, Artificial Intelligence
Mohammad H. Nadimi-Shahraki, Shokooh Taghian, Seyedali Mirjalili
Summary: An Improved Grey Wolf Optimizer (I-GWO) is proposed in this article to tackle global optimization and engineering design problems by introducing a dimension learning-based hunting (DLH) search strategy. The IGWO algorithm addresses the lack of population diversity, imbalance between exploitation and exploration, and premature convergence seen in the GWO algorithm. Experimental results show that I-GWO is competitive against six other state-of-the-art metaheuristics, demonstrating its efficiency and applicability in engineering design problems.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Computer Science, Artificial Intelligence
Xiaobing Yu, Xuejing Wu
Summary: The Wolf Optimizer (GWO) is a novel optimization algorithm that mimics the hierarchy of wolves and has potential optimization ability. However, its performance may be limited by relying on a single optimization strategy. To improve its performance, an Ensemble GWO (EGWO) algorithm is developed using two strategies to enhance both exploitation and exploration. Experimental results demonstrate that the proposed EGWO algorithm is reliable and effective for benchmark functions and real-world applications.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Computer Science, Artificial Intelligence
Chi Ma, Haisong Huang, Qingsong Fan, Jianan Wei, Yiming Du, Weisen Gao
Summary: This paper proposes an improved grey wolf optimizer algorithm based on the Aquila Optimizer, which can enhance the global search ability and balance the exploration and exploitation stages.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Engineering, Civil
Moslem Paidar, Amirreza Kazemi, Sadok Mehrez, Olatunji Oladimeji Ojo, Mahyuddin Khairuddin Matyuso Nasution, Sergei Nikolaevich Mironov
Summary: The weldability of AA2024-T3 and AZ31 Mg alloys was investigated using two processes, MFSC-B and PFSSB. The MFSC-B process showed better material flow and higher dislocation density, leading to improved tensile/shear failure load. Therefore, it is recommended for dissimilar joining of Mg and Al alloys.
ARCHIVES OF CIVIL AND MECHANICAL ENGINEERING
(2021)
Article
Metallurgy & Metallurgical Engineering
Na Li, Yaxin Xu, Wenya Li, Pengliang Niu, Achilles Vairis
Summary: The joining of AA2024-T3 with friction stir welding results in heterogenous microstructural changes, leading to reduced mechanical properties and lower hardness in the stir zone. Additionally, the stir zone exhibits lower pitting corrosion resistance compared to other areas on the top surface.
WELDING IN THE WORLD
(2022)
Article
Materials Science, Multidisciplinary
Mohamed M. Z. Ahmed, Nabil Jouini, Bandar Alzahrani, Mohamed M. El-Sayed Seleman, Mohammad Jhaheen
Summary: This study investigated the effect of friction stir welding rotation rate and welding speed on the quality and properties of dissimilar joints between aluminum and carbon steel. It was found that a rotation rate of 250 rpm resulted in defect-free joints, while the formation of intermetallic compounds (IMCs) was significantly affected by the heat input. The maximum tensile strength of about 230 MPa was achieved with a low rotation speed of 200 rpm, while the formation of IMCs reduced the tensile strength to about 98 MPa.
Article
Optics
Reza Masoudi Nejad, Danial Ghahremani Moghadam, Khalil Farhangdoost, Filippo Berto
Summary: The purpose of this study is to use digital shearography method to calculate the stress intensity factor and fatigue life estimation in AA2024-T351 aluminum alloy welded specimens under uniaxial load with low-cycle fatigue. The study proves the effectiveness of the digital shearography method through experimental and numerical simulations.
OPTICS AND LASER TECHNOLOGY
(2022)
Article
Computer Science, Artificial Intelligence
Xiaobing Yu, WangYing Xu, ChenLiang Li
Summary: Grey wolf optimizer is a novel swarm intelligent algorithm with superior optimization capacity. However, it is easy to trap into local optimum when solving complex and multimodal functions. The proposed opposition-based learning grey wolf optimizer incorporates a jumping rate to help the algorithm jump out of local optimum, and dynamically adjusts the coefficient to balance exploration and exploitation.
KNOWLEDGE-BASED SYSTEMS
(2021)
Article
Computer Science, Information Systems
Sharif Naser Makhadmeh, Ammar Kamal Abasi, Mohammed Azmi Al-Betar, Mohammed A. Awadallah, Iyad Abu Doush, Zaid Abdi Alkareem Alyasseri, Osama Ahmad Alomari
Summary: This paper proposes a modified version of the Multi-objective Grey Wolf Optimizer for the Appliances Energy Scheduling Problem. The modified version combines the original searching mechanism with a novel neighbourhood selection strategy to improve local exploitation capabilities. Evaluation results show that the proposed method outperforms other comparison methods in almost all cases.
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS
(2022)
Article
Engineering, Multidisciplinary
Lin Shi, Lei Zheng
Summary: This study used big data mining and deep learning to analyze the shortcomings in teaching schemes, and optimized convolutional neural networks with improved grey wolf optimization to enhance the quality estimating ability in medical education.
MATHEMATICAL PROBLEMS IN ENGINEERING
(2022)
Article
Engineering, Multidisciplinary
Ahmed B. Khoshaim, T. Muthuramalingam, Essam B. Moustafa, Ammar Elsheikh
Summary: This study analyzed the influence of tool electrodes on the machining performance of titanium alloy in electrical discharge machining. It was found that using a copper electrode enhanced the material removal mechanism, while a tungsten carbide electrode resulted in a better surface topography. However, using a brass electrode led to higher surface roughness and electrode wear.
ALEXANDRIA ENGINEERING JOURNAL
(2023)
Article
Environmental Sciences
Arulraj Simon Prabu, Venkatesan Chithambaram, Sengottaiyan Shanmugan, Pasquale Cavaliere, Shiva Gorjian, Abderrahmane Aissa, Abed Mourad, Pokkunuri Pardhasaradhi, Rajamanickam Muthucumaraswamy, Fadl Abdelmonem Elsayed Essa, Ammar Hamed Elsheikh
Summary: In this study, the effect of employing ZnO/Acalypha Indica leaf extract (ZAE) on the energy absorption of a coated portable solar cooker has been examined. The results showed that using ZAE as a coating material can significantly improve the thermal efficiency of the solar cooker, reducing the boiling time for water by about 47 minutes.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Environmental Sciences
S. S. Sharshir, M. Abd Elaziz, A. Elsheikh
Summary: This study introduces a modified artificial neural network (ANN) model based on the tree-seed algorithm (ANN-TSA) to predict the freshwater yield of conventional and developed wick solar stills. The proposed method improves the ANN performance by optimizing the weights of the neurons using the TSA. The use of developed wick solar still with copper basin increases the freshwater productivity by about 50%.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY
(2023)
Article
Computer Science, Interdisciplinary Applications
Abdulmohsen O. Alsaiari, Essam B. Moustafa, Hesham Alhumade, Hani Abulkhair, Ammar Elsheikh
Summary: 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 stills (SSs). The MLP-ARO model outperformed the other three models in terms of accuracy, as evaluated using various statistical measures for the investigated cases.
ADVANCES IN ENGINEERING SOFTWARE
(2023)
Article
Polymer Science
Essam B. Moustafa, Ammar Elsheikh
Summary: This study applied a coupled MLP model with AO to predict the characteristics of dissimilar lap joints made of PMMA and PC. The AO-MLP model outperformed the other two models, with significantly lower root mean square errors for shear strength and seam width.
Article
Chemistry, Physical
Ghazi Alsoruji, Essam B. Moustafa, Mahmoud A. Alzahrani, Mohammed A. Taha
Summary: The main objective of this research is to improve the mechanical and wear characteristics of a silicon bronze alloy without affecting its electrical properties. Through the addition of Ti3AlC2 MAX phase and granite powders, hybrid nanocomposites were prepared using the powder metallurgy technique. The experimental results showed that the addition of hybrid ceramics effectively reduced particle sizes and significantly improved the mechanical properties of the nanocomposites without sacrificing their electrical properties.
Article
Materials Science, Multidisciplinary
Ahmed B. Khoshaim, Essam B. Moustafa, Mashhour A. Alazwari, Mohammed A. Taha
Summary: This study fabricated hybrid nanocomposite matrices using aluminum AA7075, graphene nanoplates (GNP), boron nitride (BN), and vanadium carbide (VC). BN and VC acted as secondary reinforcement particles, while graphene (GNP) played a key role in the hybridization process. Friction stir processing (FSP) was utilized for manufacturing the composite matrix, which improved the microstructure's grain refinement and reinforcement, limiting grain growth during dynamic recrystallization. The addition of BN and VC decreased the grain sizes of the nanocomposites significantly. The mechanical characteristics of the hybrid composites were also enhanced due to the uniform dispersion of the reinforcement particles and the homogeneity of the hybridization process.
Article
Materials Science, Multidisciplinary
Ahmed O. Mosleh, Olga A. Yakovtseva, Anna A. Kishchik, Anton D. Kotov, Essam B. Moustafa, Anastasia V. Mikhaylovskaya
Summary: Friction stir processing (FSP) is a promising technique for refining grains and improving mechanical properties. This study compared an FSP-ed Al-Mg-Sc-Zr alloy with fine nanoscale Al-3(Sc,Zr) precipitates and an alloy modified with both Al-3(Sc,Zr) and coarse Al9FeNi-phase particles. The results showed that both secondary-phase particles and FSP parameters influenced the microstructure, mechanical properties, and superplasticity of the alloys. The modified alloy exhibited an improvement in ultimate tensile strength and elongation-to-fracture compared to the reference alloy, thanks to the effective grain refinement provided by the fine Al-3(Sc,Zr) and coarse Al9FeNi particles.
Article
Materials Science, Multidisciplinary
Essam B. Moustafa, Salem S. Abdel S. Aziz, Mohammed A. Taha, Abdel-Halim Saber
Summary: This study aimed to improve the thermal conductivity and mechanical properties of aluminum by using mono and hybrid reinforcements of silver and graphene for heat dissipation. The results showed that adding silver and graphene reinforcements significantly improved the thermal conductivity and mechanical properties of aluminum, with a slight decrease in electrical conductivity.
Article
Engineering, Electrical & Electronic
Salem S. Abdel Aziz, Essam B. Moustafa, Abdel-Halim Saber Salem Said
Summary: This article investigates the effects of flow, noise, and vibration on constructing a low-speed wind tunnel structure. The experiment shows good flow uniformity, but vibrations and noise levels affect the measurement process.
Article
Chemistry, Multidisciplinary
Essam B. Moustafa, Mohammed A. Taha
Summary: Friction stir processing (FSP) is an effective method to incorporate ceramic nanoparticles into metal matrix composites. This study examined the effects of single and multiple additions of BN, VC, and SiC nanoparticles on the microstructure refinement and tribological behavior of an AA2024 alloy-based nanocomposite matrix fabricated by FSP. The results showed that adding ceramic nanoparticles, whether alone or in combination, significantly refined the grain structure and improved the wear resistance of the nanocomposite matrix. Additionally, combining BN, SiC, and VC nanoparticles was the most effective in refining and reducing grain size. The composite surface with hybrid particles exhibited a significant improvement in microhardness behavior, reaching 94% higher than the base alloy. Overall, these findings suggest that multiple additions of ceramic nanoparticles through FSP are a promising approach to enhance the tribological behavior and mechanical properties of aluminum alloys.
Review
Engineering, Mechanical
Walaa Abd-Elaziem, Mahmoud Khedr, Ammar. H. Elsheikh, Jingku Liu, Yuxin Zeng, Tamer A. Sebae, Marwa A. Abd El-Baky, Moustafa A. Darwish, Walid M. Daoush, Xiaochun Li
Summary: Light-weight, high-strength metal matrix nanocomposites (MMNCs) have gained popularity in various industrial applications. However, micron-sized composites face challenges such as particle breakage and debonding, limiting their practical use. In contrast, MMNCs have been shown to improve strength, ductility, and fracture toughness, making them suitable for a wide range of industrial applications.
ENGINEERING FAILURE ANALYSIS
(2024)
Article
Environmental Sciences
M. Noman, I. Ullah, M. A. Khan, A. Qazi, W. Farooq, A. Saqr, A. Elsheikh
Summary: This research analyzes the adoption of minimum fault protection and its coordination between local utility networks and embedded generation systems. Using ETAP software, load flow studies and short circuit analysis were performed to determine appropriate time and current gradients. Protective device coordination analysis was used to ensure precise tripping of relays in the intended sequential manner. The proposed minimum fault protection scheme increases system reliability and cost-efficiency for fault clearing in small hydro-based distributed generation systems.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY
(2023)
