Abstract
A parametric study on the impact of graphene origami content on the deformation and strain results of a double curved shell is presented. The formulation is extended using the shear deformability property of the kinematic model and the constitutive relations are extended using the overall material properties for the nanofolded composite structures in the thermal environment. The analytical-based method is developed using the energy-based framework for derivation of the governing equations of a nanocomposite double curved shell. The analytical results are extracted using the trigonometric functions in order to satisfy the required boundary conditions.
Key Words
deformation and strain analysis; double curved; nanocomposites; nanofolded structures; novel foldable model; 3D metamaterial nanofillers
Address
Ruoxin Lin and Linyuan Fan: School of Computer and Big Data, Minjiang University, Fuzhou 350108, Fujian, China
Lixi Liu: Fujian Lead Automatic Equipment Co ltd, Fuzhou 350199, Fujian, China
Mostafa Habibi: Universidad UTE, Facultad de Arquitectura y Urbanismo, Calle Rumipamba S/N y Bourgeois, Quito, 170147, Ecuador/ Department of Biomaterials, Saveetha Dental College and Hospital, Saveetha Institute of Medical and Technical Sciences, Chennai, 600 077, India/ Institute of Research and Development, Duy Tan University, Da Nang, 550000, Viet Nam
Ibrahim Albaijan: Mechanical Engineering Department, College of Engineering at Al Kharj, Prince Sattam Bin Abdulaziz University, Al Kharj 16273, Saudi Arabia
Abstract
The advancement of theoretical research faces numerous challenges, particularly when it comes to modeling structures, in contrast to the experimental investigation of the mechanical behavior of complex systems. Metal foams represent a groundbreaking generation of composite materials, distinguished by their high surface area-to-volume ratio and exceptional properties including porosity, lightweight construction, and heightened thermal conductivity, making them indispensable across industries such as thermal management, filtration, catalysis, and energy storage due to their remarkable versatility and performance capabilities. The study addresses the challenges in theoretical research related to modeling complex structures, presenting a more accurate approach by incorporating nonclassical mechanics. It introduces a novel method for modeling tri-directionally coated porous structures with varying microstructures, accounting for intrinsic characteristic lengths and spatial variations in material properties. The study focuses on the static behavior of multidirectionally functionally graded porous metal foam shells, utilizing higher-order shear deformation theory ansd the principle of virtual work. To tackle various boundary conditions, the investigation employs the Galerkin method, providing a comprehensive and refined analysis of the system's behavior. Two types of porous shells, categorized as Softcore (SC) and Hardcore (HC), are analyzed, with five distribution patterns: tri-directional (Type-A), two bidirectional (Type-B and Type-C), transverse unidirectional (Type-D), and axial unidirectional (Type-E).
Key Words
deflection; higher-order shear deformation theory; Galerkin approach; metal foams; multidirectional material distribution; stresses
Address
Ali Alnujaie and Mofareh H. Ghazwani: Department of Mechanical Engineering, College of Engineering and Copmuter Sciences, Jazan University, P.O Box 45124, Jazan, Saudi Arabia/ Engineering and Technology Research Center, P.O. Box 114, Jazan 82817, Saudi Arabia
Ahmed A. Daikh: Artificial Intelligence Laboratory for Mechanical and Civil Structures, and Soil, University Centre of Naama, P.O. Box 66, Naama 45000, Algeria/ Laboratoire d'Etude des Structures et de Mécanique des Matériaux, Département de Génie Civil, Faculté des Sciences
et de la Technologie, Université Mustapha Stambouli B.P. 305, R.P.29000 Mascara, Algérie
Amr E. Assie: Department of Mechanical Engineering, College of Engineering and Copmuter Sciences, Jazan University, P.O Box 45124, Jazan, Saudi Arabia/ Mechanical Design & Production Department, Faculty of Engineering, Zagazig University, Zagazig 44519, Egypt
Mohamed A Eltaher: Mechanical Design & Production Department, Faculty of Engineering, Zagazig University, Zagazig 44519, Egypt/ Mechanical Engineering Department, Faculty of Engineering, King Abdulaziz University, P.O. Box 80204, Jeddah 21589, Saudi Arabia
Abstract
This study focuses on the precise modeling and frequency analysis of a mass-sensing nanobeam, utilizing the nonlocal elasticity theory while accounting for longitudinal discontinuities. It is posited that the beam can absorb both lumped and distributed masses, leading to the establishment of an innovative general formulation for the system. The energy Eqs. for the beam are formulated with the consideration of the longitudinal discontinuities and the arbitrary absorbed masses, leading to the derivation of vibration Eqs. and boundary conditions for the non-uniform nanobeam through Hamilton's principle. An analytical solution is employed, assuming the number of shape functions matches the longitudinal discontinuities present. By defining the compatibility and boundary conditions, we derive and resolve the frequency Eq. pertinent to the discontinuous nanobeam. The investigation explores the effects of various parameters, including the sensed mass and size effects, on the frequency characteristics of the nanobeam across different vibrational modes. The results highlight the importance of accurately modeling the discontinuous nanobeam. Notably, relocating the sensed mass towards the free end of the cantilever beam enhances the sensing performance, whereas size effects generally reduce it. Furthermore, the findings reveal that the mass-sensing capabilities of the nanobeam are more pronounced at higher vibrational modes, suggesting a preference for deploying the nanobeam mass sensor in these modes.
Key Words
absorbed masses; distributed and lumped; general formulation; mass sensor; nanobeam; nonuniform; size effects
Address
Mostafa Nazemizadeh, Behrooz Shahriari and Waseem Dalla: 1Faculty of Mechanics, Malek Ashtar University of Technology, Iran
Moein Taheri: Department of Mechanical Engineering, Faculty of Engineering, Arak University, Arak, Iran
Abstract
This paper introduces a highly accurate and computationally efficient shear deformable finite element model for the static analysis of bi-directional functionally graded beams (BD-FGBs) with various boundary conditions grounded in the first-order shear deformation theory (FSDT). The model, featuring ten degrees of freedom across five nodes, excels in capturing both axial and shear deformations with remarkable precision while maintaining a streamlined formulation. In a novel approach, Artificial Neural Network (ANN) methods are also employed alongside the finite element analysis, offering a dual-method investigation into the static behavior of BD-FGBs. This paper aims to further advance the understanding of BD-FGM beams by exploring their static behavior under diverse loading conditions and boundary constraints, employing advanced finite element methods and artificial neural network techniques. The material properties are modeled through power-law distributions, and the governing equations are derived from Lagrange's principle. Displacements and stresses were computed under different boundary conditions (BCs), slenderness ratios (L/h), and power-law indices (px, pz). Comparative analysis with existing literature reveals the superior suitability of the proposed finite element model for static analysis, while the ANN approach further reinforces its potential as a robust, complementary tool. The innovative combination of these methods promises to offer significant contributions to the field and provides new insights into the behavior of BD-FGBs under static loads.
Abstract
Smart nanoparticles integrated with music composition technology serve as a modern method to improve both acoustic performances and structural quality independently from conventional media. Research investigates the theoretical findings about how smart nanoparticles affect musical structures regarding their strength properties and vibration responses. The intelligent system functions with smart nanoparticles to handle piezoelectric properties which let us control sound waves and resonance behavior. A micro-electro-mechanical model allows us to determine the system's equivalent properties and develop motion equations by applying nonlinear stress-strain relations together with energy methods. There has been a study of vibrational modes and frequency responses using numerical method on smart nanoparticles effects. The incorporation of smart nanoparticles results in better structural stiffness alongside enhanced refinement of sound quality and improved resonance frequencies which enhance musical composition precision. Advanced nanomaterials can now use this study as a basic foundation to create innovative musical instruments and performance venues which enable novel acoustic engineering possibilities.
Key Words
acoustic behaviour; music composition; smart nanoparticles; theoretical
Address
Defang Kong: Music of Department, Normal Education College, LongYan University, LongYan City, 364000, China
Faiza Benabdallah: Department of Industrial and Systems Engineering, College of engineering, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia
Abhinav Kumar: Refrigeration & Air-condition Department, Technical Engineering College, The Islamic University, Najaf, Iraq/ Department of Mechanical Engineering, Karpagam Academy of Higher Education, Coimbatore, 641021, India
Abstract
By making the structures smaller and more sensitive, currents medical diagnostics is set to benefit from the technology with such inventions as nano contrast agents (NCAs). This study proposes a diagnostic approach that applies ultrasound NCAs in conjunction with machine learning (ML) to enhance the diagnosis of endometriosis, which, although is a common disease, is frequently misidentified. Because these contrast agents are at the nano-scale, the visualisation of the endometriotic lesions is improved and the distinction between them and other tissues with normal ultrasound technology is challenging. In addition, the deep learning algorithms utilized by the ML model for image and feature evaluation are more effective in identifying endometriotic tissue based on patterns generated by NCAs. Data shown prove that the performance of this approach enhances sensitivity and specificity and is far better than conventional ultrasound techniques. This new ML-derived approach which utilizes nano contrast agents in targeting the disease brings hope towards early detection of endometriosis thus assisting the clinicians in managing endometriosis afflicted patients adequately.
Key Words
endometriosis; machine learning approach; nano contract agents; ultrasound
Address
Hui Deng: The People's Hospital of Yubei District of Chongqing City/ The Second Affiliated Hospital of Chongqing Medical University
Na Wang: Department of Infection Controlling Section, Women and Children's Hospital of Chongqing Medical University (Chongqing Health Center for Women and Children), Chongqing, China
Da-Yong Jiang: Department of Laboratory Medicine, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, Chengdu, China
Pan Li: Department of Ultrasound, The Second Affiliated Hospital of Chongqing Medical University
Abstract
The tumor-immune interaction plays a key role in tumor growth and its progression. Tumor is a group of diseases in which some of the human body cells start unchecked, uncontrolled and abnormal proliferation or division. Now a days, tumor-immune interaction is a great topic of interest from last few decades because immune cells interact in different ways, such as by releasing cytokines that activate other immune cells, directly killing the tumor cells, absorbing and presenting tumor antigen. The antitumor activity of helper T lymphocytes in providing help in generation and maintenance of CD8+ cytotoixc T cells and memory T cells are necessary for tumor control. So, in this work, we explore dynamics and bifurcation analysis of the discrete-time tumor-immune system in the interior of R_+^3. More precisely, it is proved that the discrete tumor-immune system has tumor-free equilibrium solution, tumor-dominant equilibrium solution and immune-control equilibrium solution under certain restrictions to the involved parameters. Then by linear stability theory, local dynamics with different topological classifications are investigated about tumor-free equilibrium solution, tumor-dominant equilibrium solution and immune-control equilibrium solution of the discrete tumor-immune system. Further, for the discrete tumor-immune system, existence of periodic points and convergence rate are also investigated. It is also investigated that the existence of possible bifurcations about tumor-free equilibrium solution and immune-control equilibrium solution, and proved that there exists no flip bifurcation about tumor-free equilibrium solution. Moreover, it is proved that about immune-control equilibrium solution there exist hopf and flip bifurcations, and we have studied these bifurcations by utilizing explicit criterion. Finally, numerically verified theoretical results.
Key Words
bifurcation; discrete tumor-immune system; explicit criterion; numerical simulation
Address
Abdul Qadeer Khan: Department of Mathematics, University of Azad Jammu and Kashmir, Muzaffarabad 13100, Pakistan
Abstract
In this study, vibrations of armchair (5, 5) single walled carbon nanotubes (SNTs) have been investigated based on orthotropic model. The influence of the tube diameter is investigated for four different boundary conditions. The frequencies are higher for higher tube diameter. Effect of two different wave number varying the tube diameter values is presented. As the tube diameter increases, the frequency first rises and reaches its maximum value. These kinds of frequencies are crucial to the stability of carbon nanotubes. It has been observed that frequencies rise as wave numbers decrease. Compared to simply supported and simply supported frequency boundary conditions, the clamped-clamped curves are larger. The CNTs are more stable the more the tube foundation can withstand a load from physical circumstances.
