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CONTENTS | |
Volume 15, Number 5, November 2023 |
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- Edge perturbation on electronic properties of boron nitride nanoribbons K.L. Wong, K.W. Lai, M.W. Chuan, Y. Wong, A. Hamzah, S. Rusli, N.E. Alias, S. Mohamed Sultan, C.S. Lim and M.L.P. Tan
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Abstract; Full Text (3258K) . | pages 385-399. | DOI: 10.12989/anr.2023.15.5.385 |
Abstract
Hexagonal boron nitride (h-BN), commonly referred to as Boron Nitride Nanoribbons (BNNRs), is an electrical insulator characterized by high thermal stability and a wide bandgap semiconductor property. This study delves into the electronic properties of two BNNR configurations: Armchair BNNRs (ABNNRs) and Zigzag BNNRs (ZBNNRs). Utilizing the nearest-neighbour tight-binding approach and numerical methods, the electronic properties of BNNRs were simulated. A simplifying assumption, the Hamiltonian matrix is used to compute the electronic properties by considering the self-interaction energy of a unit cell and the interaction energy between the unit cells. The edge perturbation is applied to the selected atoms of ABNNRs and ZBNNRs to simulate the electronic properties changes. This simulation work is done by generating a custom script using numerical computational methods in MATLAB software. When benchmarked against a reference study, our results aligned closely in terms of band structure and bandgap energy for ABNNRs. However, variations were observed in the peak values of the continuous curves for the local density of states. This discrepancy can be attributed to the use of numerical methods in our study, in contrast to the semi-analytical approach adopted in the reference work.
Key Words
BNNRs; edge perturbation; electronic properties; Green
Address
K.L. Wong, K.W. Lai, M.W. Chuan, Y. Wong, A. Hamzah, S. Rusli, N.E. Alias, S. Mohamed Sultan, C.S. Lim and M.L.P. Tan: Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia
- Application of Hamilton variational principle for vibration of fluid filled structure Khaled Mohamed Khedher, Muzamal Hussain, Rizwan Munir, Saleh Alsulamy and Ayed Eid Alluqmani
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Abstract; Full Text (1822K) . | pages 401-410. | DOI: 10.12989/anr.2023.15.5.401 |
Abstract
Vibration investigation of fluid-filled three layered cylindrical shells is studied here. A cylindrical shell is immersed in a fluid which is a non-viscous one. Shell motion equations are framed first order shell theory due to Love. These equations are partial differential equations which are usually solved by approximate technique. Robust and efficient techniques are favored to get precise results. Employment of the wave propagation approach procedure gives birth to the shell frequency equation. Use of acoustic wave equation is done to incorporate the sound pressure produced in a fluid. Hankel's functions of second kind designate the fluid influence. Mathematically the integral form of the Lagrange energy functional is converted into a set of three partial differential equations. It is also exhibited that the effect of frequencies is investigated by varying the different layers with constituent material. The coupled frequencies changes with these layers according to the material formation of fluid-filled FG-CSs. Throughout the computation, it is observed that the frequency behavior for the boundary conditions follow as; clamped-clamped (C-C), simply supported-simply supported (SS-SS) frequency curves are higher than that of clamped-simply (C-S) curves. Expressions for modal displacement functions, the three unknown functions are supposed in such way that the axial, circumferential and time variables are separated by the product method. Computer software MATLAB codes are used to solve the frequency equation for extracting vibrations of fluid-filled.
Key Words
Hankel's functions; fluid-filled; MATLAB; strain energy; three layered
Address
Khaled Mohamed Khedher: Department of Civil Engineering, College of Engineering, King Khalid University, Abha 61421, Saudi Arabia
Muzamal Hussain: Department of Mathematics, University of Sahiwal, Sahiwal, Pakistan/ Department of Mathematics, Govt. College University Faisalabad, 38000, Faisalabad, Pakistan
Rizwan Munir: Department of statistics. jiangxi university of finance and economics. Nanchang city. Jiangxi province. China 330013
Saleh Alsulamy: Department of Architecture & Planning, College of Engineering, King Khalid University, Abha 61421, Saudi Arabia
Ayed Eid Alluqmani: Department of Civil Engineering, Faculty of Engineering, Islamic University of Madinah, Saudi Arabia
- Finite element analysis for longitudinal vibration of nanorods based on doublet mechanics Ufuk Gul and Metin Aydogdu
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Abstract; Full Text (1519K) . | pages 411-422. | DOI: 10.12989/anr.2023.15.5.411 |
Abstract
In the present study, the axial vibration of the nanorods is investigated in the framework of the doublet mechanics theory. The equations of motion and boundary conditions of nanorods are derived by applying the Hamilton principle. A finite element method is developed to obtain the vibration frequencies of nanorods for different boundary conditions. A two-noded higher order rod finite element is used to solve the vibration problem. The natural frequencies of nanorods obtained with the present finite element analysis are validated by comparing the results of classical doublet mechanics and nonlocal strain gradient theories. The effects of rod length, mode number and boundary conditions on the axial vibration frequencies of nanorods are examined in detail. Mode shapes of the nanorods are presented for the different boundary conditions. It is shown that the doublet mechanics model can be used for the dynamic analysis of nanotubes, and the presented finite element formulation can be used for mechanical problems of rods with unavailable analytical solutions. These new results can also be used as references for the future studies.
Key Words
doublet mechanics; finite element method; mode shape; nanorod; vibration
Address
Ufuk Gul and Metin Aydogdu: Department of Mechanical Engineering, Trakya University, 22030, Edirne, Turkey
- An analytical study on free vibration of magneto electro micro sandwich beam with FG porous core on Vlasov foundation Kazem Alambeigi, Mehdi Mohammadimehr and Mostafa Bamdad
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Abstract; Full Text (2799K) . | pages 423-439. | DOI: 10.12989/anr.2023.15.5.423 |
Abstract
The aim of this paper is to investigate the free vibration behavior of the micro sandwich beam composing of five layers such as functionally graded (FG) porous core, nanocomposite reinforced by carbon nanotubes (CNTs) and piezomagnetic/ piezoelectric layers subjected to magneto electrical potential resting on silica aerogel foundation. The effect of foundation has been taken into account using Vlasov model in addition to rigid base assumption. For this purpose, an iterative technique is applied. The material properties of the FG porous core and FG nanocomposite layers are considered to vary throughout the thickness direction of the beams. Based on the Timoshenko beam theory and Hamilton's principle, the governing equations of motion for the micro sandwich beam are obtained. The Navier's type solution is utilized to obtain analytical solutions to simply supported micro sandwich beam. Results are verified with corresponding literatures. In the following, a study is carried out to find the effects of the porosity coefficient, porous distribution, volume fraction of CNT, the thickness of silica aerogel foundation, temperature and moisture, geometric parameters, electric and magnetic potentials on the vibration of the micro sandwich beam. The results are helpful for the design and applications of micro magneto electro mechanical systems.
Key Words
FG porous core; micro sandwich beam; nanocomposite; piezomagnetic/piezoelectric layers; porosity; vibration; Vlasov foundation
Address
Kazem Alambeigi, Mehdi Mohammadimehr and Mostafa Bamdad: Department of Solid Mechanics, Faculty of Mechanical Engineering, University of Kashan, Kashan, Iran
- Purification process and reduction of heavy metals from industrial wastewater via synthesized nanoparticle for water supply in swimming/water sport Leiming Fu, Junlong Li, Jianming Yang, Yutao Liu, Chunxia He and Yifei Chen
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Abstract; Full Text (1538K) . | pages 441-449. | DOI: 10.12989/anr.2023.15.5.441 |
Abstract
Heavy metals, widely present in the environment, have become significant pollutants due to their excessive use in industries and technology. Their non-degradable nature poses a persistent environmental problem, leading to potential acute or chronic poisoning from prolonged exposure. Recent research has focused on separating heavy metals, particularly from industrial and mining sources. Industries such as metal plating, mining operations, tanning, wood and chipboard production, industrial paint and textile manufacturing, as well as oil refining, are major contributors of heavy metals in water sources. Therefore, removing heavy metals from water is crucial, especially for safe water supply in swimming and water sports. Iron oxide nanoparticles have proven to be highly effective adsorbents for water contaminants, and efforts have been made to enhance their efficiency and absorption capabilities through surface modifications. Nanoparticles synthesized using plant extracts can effectively bind with heavy metal ions by modifying the nanoparticle surface with plant components, thereby increasing the efficiency of heavy metal removal. This study focuses on removing lead from industrial wastewater using environmentally friendly, cost-effective iron nanoparticles synthesized with Genovese basil extract. The synthesis of nanoparticles is confirmed through analysis using Transmission Electron Microscope (TEM) and X-ray diffraction, validating their spherical shape and nanometer-scale dimensions. The method used in this study has a low detection limit of 0.031 ppm for measuring lead concentration, making it suitable for ensuring water safety in swimming and water sports.
Key Words
heavy metals; industrial wastewater; nanoparticles; swimming/water sports; water supply
Address
Leiming Fu and Jianming Yang: College of Information Management, Nanjing Agricultural University, Nanjing 210031, Jiangsu, China
Junlong Li: College of Public Administration, Nanjing Agricultural University, Nanjing 210095, Jiangsu, China
Yutao Liu and Chunxia He: College of Engineering, Nanjing Agricultural University, Nanjing 210031, Jiangsu, China
Yifei Chen: Pukou campus management committee, Nanjing Agricultural University, Nanjing 210031, Jiangsu, China/ Faculty of Music, Bangkok Thonburi University, Bangkok, Thailand
- Nanotechnology in early diagnosis of gastro intestinal cancer surgery through CNN and ANN-extreme gradient boosting Y. Wenjing, T. Yuhan, Y. Zhiang, T. Shanhui, L. Shijun, M. Sharaf
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Abstract; Full Text (2354K) . | pages 451-466. | DOI: 10.12989/anr.2023.15.5.451 |
Abstract
Gastrointestinal cancer (GC) is a prevalent malignant tumor of the digestive system that poses a severe health risk to humans. Due to the specific organ structure of the gastrointestinal system, both endoscopic and MRI diagnoses of GIC have limited sensitivity. The primary factors influencing curative efficacy in GIC patients are drug inefficacy and high recurrence rates in surgical and pharmacological therapy. Due to its unique optical features, good biocompatibility, surface effects, and small size effects, nanotechnology is a developing and advanced area of study for the detection and treatment of cancer. Because of its deep location and complex surgery, diagnosing and treating gastrointestinal cancer is very difficult. The early diagnosis and urgent treatment of gastrointestinal illness are enabled by nanotechnology. As diagnostic and therapeutic tools, nanoparticles directly target tumor cells, allowing their detection and removal. XGBoost was used as a classification method known for achieving numerous winning solutions in data analysis competitions, to capture nonlinear relations among many input variables and outcomes using the boosting approach to machine learning. The research sample included 300 GC patients, comprising 190 males (72.2% of the sample) and 110 women (27.8%). Using convolutional neural networks (CNN) and artificial neural networks (ANN)-EXtreme Gradient Boosting (XGBoost), the patients mean ± SD age was 50.42 ± 13.06. High-risk behaviors (P = 0.070), age at diagnosis (P = 0.037), distant metastasis (P = 0.004), and tumor stage (P = 0.015) were shown to have a statistically significant link with GC patient survival. AUC was 0.92, sensitivity was 81.5%, specificity was 90.5%, and accuracy was 84.7 when analyzing stomach picture.
Key Words
artificial neural networks; convolutional neural networks; extreme gradient boosting; gastrointestinal cancer; nanotechnology
Address
Y. Wenjing, T. Yuhan, Y. Zhiang, T. Shanhui, L. Shijun: 1Institute of Life Science, Wenzhou University, Wenzhou, China
M. Sharaf: Industrial Engineering Department, College of Engineering, King Saud University, P.O. Box 800, Riyadh 11421, Saudi Arabia
- Multiple effects of nano-silica on the pseudo-strain-hardening behavior of fiber-reinforced cementitious composites Hossein Karimpour and Moosa Mazloom
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Abstract; Full Text (3122K) . | pages 467-484. | DOI: 10.12989/anr.2023.15.5.467 |
Abstract
Despite the significant features of fiber-reinforced cementitious composites (FRCCs), including better mechanical, fractural, and durability performance, their high content of cement has restricted their use in the construction industry. Although ground granulated blast furnace slag (GGBFS) is considered the main supplementary cementitious material, its slow pozzolanic reaction stands against its application. The addition of nano-sized mineral modifiers, including nano-silica (NS), is an alternative to address the drawbacks of using GGBFS. The main object of this empirical and numerical research is to examine the effect of NS on the strain-hardening behavior of cementitious composites; ten mixes were designed, and five levels of NS were considered. This study proposes a new method, using a four-point bending test to assess the use of nano-silica (NS) on the flexural behavior, first cracking strength, fracture energy, and micromechanical parameters including interfacial friction bond strength and maximum bridging stress. Digital image correlation (DIC) was used for monitoring the initiation and propagation of the cracks. In addition, to attain a deep comprehension of fiber/matrix interaction, scanning electron microscope (SEM) analysis was used. It was discovered that using nano-silica (NS) in cementitious materials results in an enhancement in the matrix toughness, which prevents multiple cracking and, therefore, strain-hardening. In addition, adding NS enhanced the interfacial transition zone between matrix and fiber, leading to a higher interfacial friction bond strength, which helps multiple cracking in the composite due to the hydrophobic nature of polypropylene (PP) fibers. The findings of this research provide insight into finding the optimum percent of NS in which both ductility and high tensile strength of the composites would be satisfied. As a concluding remark, a new criterion is proposed, showing that the optimum value of nano-silica is 2%. The findings and proposed method of this study can facilitate the design and utilization of green cementitious composites in structures.
Key Words
cementitious composites; digital image correlation (DIC); fracture behavior; greenness; ground granulated blast furnace slag (GGBFS); micromechanics; nano-silica; strain hardening
Address
Hossein Karimpour and Moosa Mazloom:Department of Structural and Earthquake Engineering, Faculty of Civil Engineering, Shahid Rajaee Teacher Training University, I. R. Iran
Abstract
Critical multi-field loads and free vibration responses of the sandwich piezoelectric/piezomagnetic microplate subjected to combination of magnetoelectromechanical loads based on a thickness-stretched higher order shear deformable model using Hamilton's principle. The lateral displacement is assumed summation of bending, shearing and stretching functions. The elasti core is sandwiched by a couple of piezoelectric/piezomagnetic face-sheets subjected to electromagnetocmechanical loads. The work of external force is calculated with considering the in-plane mechanical, electrical and magnetic loads based on piezomagnetoelasticity relations. The critical multi field loading and natural frequency analysis are performed to investigate influence of geometric and loading parameters on the responses. A verification is performed for justification of the numerical results.
Key Words
Hamilton's principle; higher-order modelling; multi-field loading; sandwich piezoelectric/piezomagnetic microplate, scale-dependent model
Address
Yi Zhu: Sports Work Department, Guizhou University of Finance and Economics, Guiyang 550000, Guizhou, China