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Effect of Rotation on the Propagation of Waves in Hollow Poroelastic Circular Cylinder with magnetic Field

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Computers, materials & Continua 2017年第2期53卷 129-156页

作者： a.m.farhan physics department faculty of science jazan university-K.S.A physics department faculty of sciencezagazig universityzagazig

Employing Biot’s theory of wave propagation in liquid saturated porous media,the effect of rotation and magnetic field on wave propagation in a hollow poroelastic circular of infinite extent is *** exact closed form solution is *** frequency equations for propagation of poroelastic cylinder are obtained when the boundaries are stress *** frequencies are calculated for poroelastic cylinder for different values of magnetic field and *** results are given and illustrated *** results indicate that the effect of rotation,and magnetic field are very *** a model would be useful in large-scale parametric studies of mechanical response.

关键词： Wave propagation rotation magnetic field poroelastic medium natural frequency.

Effect of rotation on the surface wave propagation in magneto-thermoelastic materials with voids

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Journal of Ocean Engineering and Science 2018年第4期3卷 334-342页

作者： a.m.farhan A.m.Abd-Alla Physics Department Faculty of ScienceJazan UniversitySaudi Arabia Physics Department Faculty of ScienceZagzig UniversityEgypt mathematics Department Faculty of ScienceSohag UniversityEgypt

The present investigation is focused on studying the surface wave propagation in a generalized magneto-thermoelastic materials taking(Green Lindsay)model with *** general surface wave speed is derived to study the effects of magnetic field and rotation on surface wave in the presence of *** addition the present study can be comprehensively applied to the magneto-thermoelastic medium with *** possible non-dimensional frequency of surface wave propagation has been obtained as the solution of an algebraic equation involving a determinant whose elements contain the material parameters,the direction of applied magnetic field and rotation of surface wave *** comparisons for the physical quantities are established numerically and represented graphically in different cases with respect to the used effects.

关键词： Green Lindsay theory Thermoelasticity Surface waves.

Numerical Solution of a Problem of Thermal Stresses of a magnetothermoelastic Cylinder with Rotation by Finite-Difference method

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Computers, materials & Continua 2021年第9期68卷 3339-3352页

作者： F.S.Bayones A.m.Abd-Alla a.m.farhan Department of mathematics and Statistics College of ScienceTaif UniversityTaif21944Saudi Arabia Department of mathematics Faculty of ScienceSohag UniversityEgypt Physics Department Faculty of ScienceJazan UniversityJazanSaudi Arabia Physics Department Faculty of ScienceZagazig UniversityZagazigEgypt

The present article deals with the investigation thermal stress of a magnetothermoelastic cylinder subjected to rotation,open or closed circuit,thermal and mechanical boundary *** outer and inner surfaces of the cylinder are subjected to both mechanical and thermal boundary conditions.A The transient coupled thermoelasticity in an infinite cylinder with its base abruptly exposed to a heat flux of a decaying exponential function of time is devised solve by the finite-difference *** fundamental equations’system is solved by utilizing an implicit finite-difference *** current method is a second-order accurate in time and space;it is also unconditionally *** illustrate the present model’s efficiency,we consider a suitable material and acquire the numerical solution of temperature,displacement components,and the components of stresses with time t and through the radial of an infinite *** results indicate that the effect of coupled thermoelasticity,magnetic field,and rotation on the temperature,stresses,and displacement is quite *** order to illustrate and verify the analytical developments,the numerical solution of partial differential equations,stress components,displacement components and temperature is carried out and computer simulated results are presented *** study is helpful in the development of piezoelectric devices.

关键词： Thermoelasticity thermal stress finite-difference method non-homogeneous material rotation magnetic field

Solution of a problem of thermal stresses in a non-homogeneous thermoelastic infinite medium of isotropic material by finite difference method

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Journal of Ocean Engineering and Science 2019年第3期4卷 256-262页

作者： a.m.farhan A.m.Abd-Alla moaiad A.Khder Physics Department Faculty of ScienceJazan UniversitySaudi Arabia Physics Department Faculty of ScienceZagzig UniversityEgypt mathematics Department Faculty of ScienceSohag UniversityEgypt Department of Computer Science Applied Science UniversityBahrain

The present work deals with a new problem of thermoelasticity for an infinitely long and isotropic circular cylinder of temperature dependent physical *** inner and outer curved surfaces of the cylinder are subjected to both the mechanical and thermal boundary conditions.A finite difference model is developed to derive the solution of the problem in which the governing equations are uncoupled linear partial differential *** transient solution at any time can be evaluated directly from the *** order to demonstrate the efficiency of the present model we consider a suitable material and obtain the numerical solution of displacement,temperature,and stresses inside the cylinder for the homogeneous-dependent material properties of the *** results are analyzed with the help of different graphical plots.

关键词： Thermal stress Thermoelasticity Wave propagation Finite difference method Non-homogeneous medium

Rotational Effect on the Propagation of Waves in a magneto-micropolar Thermoelastic medium

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Computers, materials & Continua 2021年第10期69卷 205-220页

作者： A.m.Abd-Alla S.m.Abo-Dahab m.A.Abdelhafez a.m.farhan Department of mathematics Faculty of ScienceSohag UniversitySohagEgypt Department of mathematics Faculty of ScienceSouth Valley University83523Egypt Department of Physics Faculty of ScienceJazan UniversityJazanSaudi Arabia Department of Physics Faculty of ScienceZagazig UniversityZagazigEgypt

The present paper aims to explore how the magnetic field,ramp parameter,and rotation affect a generalized micropolar thermoelastic medium that is standardized isotropic within the *** employing normal mode analysis and Lame’s potential theory,the authors could express analytically the components of displacement,stress,couple stress,and temperature field in the physical *** calculated such manners of expression numerically and plotted the matching graphs to highlight and make comparisons with theoretical *** highlights of the paper cover the impacts of various parameters on the rotating micropolar thermoelastic ***,the non-dimensional temperature is not affected by the rotation and the magnetic *** attention is paid to studying the impact of the magnetic field,rotation,and ramp parameter of the distribution of temperature,displacement,stress,and couple *** study highlighted the significant impact of the rotation,magnetic field,and ramp parameter on the micropolar thermoelastic *** conclusion,graphical presentations were provided to evaluate the impacts of different parameters on the propagation of plane waves in thermoelastic media of different *** study may help the designers and engineers develop a structural control system in several applied fields.

关键词： magnetic field micropolar thermoelastic rotation ramp parameter normal mode analysis

Steel Surface Defect Detection Using Learnable memory Vision Transformer

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Computers, materials & Continua 2025年第1期82卷 499-520页

作者： Syed Tasnimul Karim Ayon farhan md.Siraj Jia Uddin Department of Computer Science and Engineering BRAC UniversityDhaka1212Bangladesh Department of AI and Big Data Endicott CollegeWoosong UniversityDaejeon34606Republic of Korea

This study investigates the application of Learnable memory Vision Transformers(LmViT)for detecting metal surface flaws,comparing their performance with traditional CNNs,specifically ResNet18 and ResNet50,as well as other transformer-based models including Token to Token ViT,ViT withoutmemory,and Parallel *** awidely-used steel surface defect dataset,the research applies data augmentation and t-distributed stochastic neighbor embedding(t-SNE)to enhance feature extraction and *** techniques mitigated overfitting,stabilized training,and improved generalization *** LmViT model achieved a test accuracy of 97.22%,significantly outperforming ResNet18(88.89%)and ResNet50(88.90%),aswell as the Token to TokenViT(88.46%),ViT without memory(87.18),and Parallel ViT(91.03%).Furthermore,LmViT exhibited superior training and validation performance,attaining a validation accuracy of 98.2%compared to 91.0%for ResNet 18,96.0%for ResNet50,and 89.12%,87.51%,and 91.21%for Token to Token ViT,ViT without memory,and Parallel ViT,*** findings highlight the LmViT’s ability to capture long-range dependencies in images,an areawhere CNNs struggle due to their reliance on local receptive fields and hierarchical feature *** additional transformer-based models also demonstrate improved performance in capturing complex features over CNNs,with LmViT excelling particularly at detecting subtle and complex defects,which is critical for maintaining product quality and operational efficiency in industrial *** instance,the LmViT model successfully identified fine scratches and minor surface irregularities that CNNs often *** study not only demonstrates LmViT’s potential for real-world defect detection but also underscores the promise of other transformer-based architectures like Token to Token ViT,ViT without memory,and Parallel ViT in industrial scenarios where complex spatial relationships are *** research m

关键词： Learnable memory Vision Transformer(LmViT) Convolutional Neural Networks(CNN) metal surface defect detection deep learning,computer vision image classification learnable memory gradient clipping label smoothing t-SNE visualization

Optimal Simultaneous Allocation of Electric Vehicle Charging Stations and Capacitors in Radial Distribution Network Considering Reliability

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Journal of modern Power Systems and Clean Energy 2024年第5期12卷 1584-1595页

作者： B.Vinod Kumar Aneesa farhan m A the Department of Electrical and Electronic Engineering National Institute of Technology TiruchirappalliTamilnaduIndia

The popularity of electric vehicles(EVs)has sparked a greater awareness of carbon emissions and climate *** mobility expansion and EV adoption have led to an increased infrastructure for electric vehicle charging stations(EVCSs),impacting radial distribution networks(RDNs).To reduce the impact of voltage drop,the increased power loss(PL),lower system interruption costs,and proper allocation and positioning of the EVCSs and capacitors are *** paper focuses on the allocation of EVCS and capacitor installations in RDN by maximizing net present value(NPV),considering the reduction in energy losses and interruption *** a part of the analysis considering reliability,several compensation coefficients are used to evaluate failure rates and pinpoint those that will improve *** locate the best nodes for EVCSs and capacitors,the hybrid of grey wolf optimization(GWO)and particle swarm optimization(PSO)(HGWO_PSO)and the hybrid of PSO and Cuckoo search(CS)(HPSO_CS)algorithms are proposed,forming a combination of GWO,PSO,and CS *** impact of EVCSs on NPV is also investigated in this *** effectiveness of the proposed optimization algorithms is validated on an IEEE 33-bus RDN.

关键词： Electric vehicle charging station optimization radial distribution network vehicle-to-grid loss reduction reliability

Big Data Analytics Using Graph Signal Processing

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Computers, materials & Continua 2023年第1期74卷 489-502页

作者： farhan Amin Omar m.Barukab Gyu Sang Choi Department of Information and Communication Engineering Yeungnam UniversityGyeongsan38541Korea Faculty of Computing and Information Technology-Rabigh King Abdulaziz UniversityJeddahSaudi Arabia

The networks are fundamental to our modern world and they appear throughout science and *** to a massive amount of data presents a unique opportunity to the researcher’s *** networks grow in size the complexity increases and our ability to analyze them using the current state of the art is at severe risk of failing to keep ***,this paper initiates a discussion on graph signal processing for large-scale data *** first provide a comprehensive overview of core ideas in Graph signal processing(GSP)and their connection to conventional digital signal processing(DSP).We then summarize recent developments in developing basic GSP tools,including methods for graph filtering or graph learning,graph signal,graph Fourier transform(GFT),spectrum,graph frequency,*** filtering is a basic task that allows for isolating the contribution of individual frequencies and therefore enables the removal of *** then consider a graph filter as a model that helps to extend the application of GSP methods to large *** show the suitability and the effeteness,we first created a noisy graph signal and then applied it to the *** several rounds of simulation *** see that the filtered signal appears to be smoother and is closer to the original noise-free distance-based *** using this example application,we thoroughly demonstrated that graph filtration is efficient for big data analytics.

关键词： Big data data science big data processing graph signal processing social networks

mixed Convective Viscoelastic Nanofluid Flow Past a Porous media with Soret–Dufour Effects

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Communications in Theoretical Physics 2016年第7期65卷 133-142页

作者： m.Ramzan farhan Yousaf m.Farooq Jae Dong Chung Department of Computer Science Bahria University Department of mathematics Faculty of Computing Capital University of Science and Technology Department of mathematics Riphah International University Department of mechanical Engineering Sejong University

The present study is carried out to see the thermal-diffusion(Dufour) and diffusion-thermo(Soret) effects on the mixed convection boundary layer flow of viscoelastic nanofluid flow over a vertical stretching surface in a porous medium. Optimal homotopy analysis method(OHAm) is best candidate to handle highly nonlinear system of differential equations obtained from boundary layer partial differential equations via appropriate transformations. Graphical illustrations depicting different physical arising parameters against velocity, temperature and concentration distributions with required discussion have also been added. Numerically calculated values of skin friction coefficient, local Nusselt and Sherwood numbers are given in the form of table and well argued. It is found that nanofluid velocity increases with increase in mixed convective and viscoelastic parameters but it decreases with the increasing values of porosity parameter. Also, it is observed that Dufour number has opposite behavior on temperature and concentration profiles.

关键词： mixed convection porous media nanofluid flow soret-dufour effects