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On static bending of multilayered carbon nanotube-reinforced composite plates
Ahmed Amine Daikh,Ismail Bensaid,Attia Bachiri,Mohamed Sid Ahmed Houari,Abdelouahed Tounsi,Tarek Merzouki 사단법인 한국계산역학회 2020 Computers and Concrete, An International Journal Vol.26 No.2
In this paper, the bending behavior of single-walled carbon nanotube-reinforced composite (CNTRC) laminated plates is studied using various shear deformation plate theories. Several types of reinforcement material distributions, a uniform distribution (UD) and three functionally graded distributions (FG), are inspected. A generalized higher-order deformation plate theory is utilized to derive the field equations of the CNTRC laminated plates where an analytical technique based on Navier’s series is utilized to solve the static problem for simply-supported boundary conditions. A detailed numerical analysis is carried out to examine the influence of carbon nanotube volume fraction, laminated composite structure, side-to-thickness, and aspect ratios on stresses and deflection of the CNTRC laminated plates.
Ahmed Al Amin,Soo Young Shin 한국통신학회 2021 한국통신학회 학술대회논문집 Vol.2021 No.2
The channel capacity improvement and uninterrupted communication are vital factor for sixth generation (6G) wireless communication system. NOMA-OAM-MIMO can provide improved channel capacities and sum capacity (SC) as well. But due to obstacle, NOMA-OAM-MIMO is not possible to maintain the communication towards the users. Hence, large intelligent surface is integrated with NOMA-OAM-MIMO which is termed as NOML scheme to maintain uninterrupted communication and enhance the user channel capacities and SC as well. Moreover, the superiority of the proposed NOML scheme over the conventional schemes are evaluated by simulation results.
Automated recognition of white blood cells using deep learning
Amin Khouani,Mostafa El Habib Daho,Sidi Ahmed Mahmoudi,Mohammed Amine Chikh,Brahim Benzineb 대한의용생체공학회 2020 Biomedical Engineering Letters (BMEL) Vol.10 No.3
The detection, counting, and precise segmentation of white blood cells in cytological images are vital steps in the eff ectivediagnosis of several cancers. This paper introduces an effi cient method for automatic recognition of white blood cells inperipheral blood and bone marrow images based on deep learning to alleviate tedious tasks for hematologists in clinicalpractice. First, input image pre-processing was proposed before applying a deep neural network model adapted to cellslocalization and segmentation. Then, model outputs were improved by using combined predictions and corrections. Finally,a new algorithm that uses the cooperation between model results and spatial information was implemented to improve thesegmentation quality. To implement our model, python language, Tensorfl ow, and Keras libraries were used. The calculationswere executed using NVIDIA GPU 1080, while the datasets used in our experiments came from patients in the Hemobiologyservice of Tlemcen Hospital (Algeria). The results were promising and showed the effi ciency, power, and speed of theproposed method compared to the state-of-the-art methods. In addition to its accuracy of 95.73%, the proposed approachprovided fast predictions (less than 1 s).
Static analysis of multilayer nonlocal strain gradient nanobeam reinforced by carbon nanotubes
Ahmed Amine Daikh,Ahmed Drai,Mohamed Sid Ahmed Houari,Mohamed A. Eltaher 국제구조공학회 2020 Steel and Composite Structures, An International J Vol.36 No.6
This article presents a comprehensive static analysis of simply supported cross-ply carbon nanotubes reinforced composite (CNTRC) laminated nanobeams under various loading profiles. The nonlocal strain gradient constitutive relation is exploited to present the size-dependence of nano-scale. New higher shear deformation beam theory with hyperbolic function is proposed to satisfy the zero-shear effect at boundaries and parabolic variation through the thickness. Carbon nanotubes (CNTs), as the reinforced elements, are distributed through the beam thickness with different distribution functions, which are, uniform distribution (UD-CNTRC), V- distribution (FG-V CNTRC), O- distribution (FG-O CNTRC) and X- distribution (FG-X CNTRC). The equilibrium equations are derived, and Fourier series function are used to solve the obtained differential equation and get the response of nanobeam under uniform, linear or sinusoidal mechanical loadings. Numerical results are obtained to present influences of CNTs reinforcement patterns, composite laminate structure, nonlocal parameter, length scale parameter, geometric parameters on center deflection ad stresses of CNTRC laminated nanobeams. The proposed model is effective in analysis and design of composite structure ranging from macro-scale to nano-scale.
Bending of axially functionally graded carbon nanotubes reinforced composite nanobeams
Ahmed Drai,Ahmed Amine Daikh,Mohamed Oujedi Belarbi,Mohammed Sid Ahmed Houari,Benoumer Aour,Amin Hamdi,Mohamed A. Eltaher Techno-Press 2023 Advances in nano research Vol.14 No.3
This work presents a modified analytical model for the bending behavior of axially functionally graded (AFG) carbon nanotubes reinforced composite (CNTRC) nanobeams. New higher order shear deformation beam theory is exploited to satisfy parabolic variation of shear through thickness direction and zero shears at the bottom and top surfaces.A Modified continuum nonlocal strain gradient theoryis employed to include the microstructure and the geometrical nano-size length scales. The extended rule of the mixture and the molecular dynamics simulations are exploited to evaluate the equivalent mechanical properties of FG-CNTRC beams. Carbon nanotubes reinforcements are distributed axially through the beam length direction with a new power graded function with two parameters. The equilibrium equations are derived with associated nonclassical boundary conditions, and Navier's procedure are used to solve the obtained differential equation and get the response of nanobeam under uniform, linear, or sinusoidal mechanical loadings. Numerical results are carried out to investigate the impact of inhomogeneity parameters, geometrical parameters, loadings type, nonlocal and length scale parameters on deflections and stresses of the AFG CNTRC nanobeams. The proposed model can be used in the design and analysis of MEMS and NEMS systems fabricated from carbon nanotubes reinforced composite nanobeam.
Buckling and bending of coated FG graphene-reinforced composite plates and shells
Ahmed Amine Daikh,Amin Hamdi,Hani M. Ahmed,Mohamed S. Abdelwahed,Alaa A. Abdelrahman,Mohamed A. Eltaher Techno-Press 2023 Advances in nano research Vol.15 No.2
The advancement of theoretical research has numerous challenges, particularly with regard to the modeling of structures, in contrast to experimental investigation of the mechanical behavior of complex systems. The main objective of this investigation is to provide an analytical analysis of the static problem of a new generation of composite structure, namely, functionally graded FG graphene reinforced composite GRC coated plates/shells. A complex power law function is used to define the material's graduation. Investigations are conducted on Hardcore and Softcore coated FG plates/shells. The virtual work approach is used to perform the equilibrium equations, which are then solved using the Galerkin technique to account for various boundary conditions. With reliable published articles, the presented solution is validated. The effects of hardcore and softcore distributions, gradation indexes, and boundary conditions on the buckling, bending deflection and stresses of FG GRC-coated shells are presented in detail. Obtained results and the developed procedure are supportive for design and manufacturing of FG-GRC coated plates/shells in several fields and industries e.g., aerospace, automotive, marine, and biomedical implants.
Amin Arslan Ahmed,Mahmood-ul-Hasan Khalid 대한전기학회 2022 Journal of Electrical Engineering & Technology Vol.17 No.3
This paper proposes a Unifi ed Fault-Tolerant Control System (UFTCS) based on advanced analytical and hardware redundancies for Air-Fuel Ratio (AFR) control of Spark Ignition (SI) Internal Combustion (IC) engines. The advanced analytical redundancy part is termed the Hybrid Fault-Tolerant Control System (HFTCS) which consists of both active and passive types. The Lookup Tables (LTs) have been utilized in the active part and a robust proportional feedback controller of high gain with fuel throttle actuator has been implemented in the passive part. Since the failure of any two sensors at the same time or failure of a single actuator causes engine shutdown, an advanced hardware redundancy protocol Modifi ed Triple Modular Redundancy (MTMR) has been suggested for the sensors, and Dual Redundancy (DR) has been proposed for the actuators to prevent the tripping of the engine. MATLAB/Simulink simulation results indicate that the suggested UFTCS is highly robust to the sensor faults in both normal and noisy conditions. The probabilistic reliability analysis for various hardware redundancy schemes also proves the greater overall reliability of UFTCS. Finally, a comparison with the existing AFR control systems is carried out to demonstrate its superior performance
Ahmed Amine Daikh,Ahmed Drai,Mohamed Ouejdi Belarbi,Mohammed Sid Ahmed Houari,Benoumer Aour,Mohamed A. Eltaher,Norhan A. Mohamed Techno-Press 2024 Advances in nano research Vol.16 No.3
In this work, an analytical model employing a new higher-order shear deformation beam theory is utilized to investigate the bending behavior of axially randomly oriented functionally graded carbon nanotubes reinforced composite nanobeams. A modified continuum nonlocal strain gradient theory is employed to incorporate both microstructural effects and geometric nano-scale length scales. The extended rule of mixture, along with molecular dynamics simulations, is used to assess the equivalent mechanical properties of functionally graded carbon nanotubes reinforced composite (FG-CNTRC) beams. Carbon nanotube reinforcements are randomly distributed axially along the length of the beam. The equilibrium equations, accompanied by nonclassical boundary conditions, are formulated, and Navier's procedure is used to solve the resulting differential equation, yielding the response of the nanobeam under various mechanical loadings, including uniform, linear, and sinusoidal loads. Numerical analysis is conducted to examine the influence of inhomogeneity parameters, geometric parameters, types of loading, as well as nonlocal and length scale parameters on the deflections and stresses of axially functionally graded carbon nanotubes reinforced composite (AFG CNTRC) nanobeams. The results indicate that, in contrast to the nonlocal parameter, the beam stiffness is increased by both the CNTs volume fraction and the length-scale parameter. The presented model is applicable for designing and analyzing microelectromechanical systems (MEMS) and nanoelectromechanical systems (NEMS) constructed from carbon nanotubes reinforced composite nanobeams.