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  • Open Access

    ARTICLE

    A Mathematical Model of Heat Transfer in Problems of Pipeline Plugging Agent Freezing Induced by Liquid Nitrogen

    Yafei Li, Yanjun Liu*

    FDMP-Fluid Dynamics & Materials Processing, Vol.18, No.3, pp. 775-788, 2022, DOI:10.32604/fdmp.2022.019810

    Abstract A mathematical model for one-dimensional heat transfer in pipelines undergoing freezing induced by liquid nitrogen is elaborated. The basic premise of this technology is that the content within a pipeline is frozen to form a plug or two plugs at a position upstream and downstream from a location where work a modification or a repair must be executed. Based on the variable separation method, the present model aims to solve the related coupled heat conduction and moving-boundary phase change problem. An experiment with a 219 mm long pipe, where water was taken as the plugging agent, is presented to demonstrate… More >

  • Open Access

    ARTICLE

    On the Selection of a Composite Material for Two-Wheeler Foot Bracket Failure Prevention through Simulation and Mathematical Modeling

    S. M. Sivagami1, A. Bovas Herbert Bejaxhin2,*, R. Gayathri1, T. Raja Vijay1, K. Punitharani3, P. Keerthi Vasan1, M. Meignanamoorthy4

    FDMP-Fluid Dynamics & Materials Processing, Vol.18, No.3, pp. 521-536, 2022, DOI:10.32604/fdmp.2022.018752

    Abstract A foot bracket is a metal panel bracket used to mount and support the footrest in two-wheeler systems. It holds the footrest in place while rigidly supporting it. In working conditions, this element has often been observed to fail when specific load-fluctuation conditions are established at its rear end. Appropriate materials therefore need to be identified to overcome such a recurring failure. To address these issues, the present study has been implemented with the specific objective to determine the response of selected Al6061-T6 and Al7075-T6 Hybrid Metal Matrix Composites (HMMC). The results, obtained using the ANSYS Software, show that the… More >

  • Open Access

    ARTICLE

    Mathematical Modelling of Quantum Kernel Method for Biomedical Data Analysis

    Mahmoud Ragab1,2,3, Ehab Bahauden Ashary4, Maha Farouk S. Sabir5, Adel A. Bahaddad5, Romany F. Mansour6,*

    CMC-Computers, Materials & Continua, Vol.71, No.3, pp. 5441-5457, 2022, DOI:10.32604/cmc.2022.024545

    Abstract This study presents a novel method to detect the medical application based on Quantum Computing (QC) and a few Machine Learning (ML) systems. QC has a primary advantage i.e., it uses the impact of quantum parallelism to provide the consequences of prime factorization issue in a matter of seconds. So, this model is suggested for medical application only by recent researchers. A novel strategy i.e., Quantum Kernel Method (QKM) is proposed in this paper for data prediction. In this QKM process, Linear Tunicate Swarm Algorithm (LTSA), the optimization technique is used to calculate the loss function initially and is aimed… More >

  • Open Access

    ARTICLE

    A Mathematical Model and Simulations of Low Temperature Nitriding

    Bogusław Bożek1, Lucjan Sapa1,*, Katarzyna Tkacz-Śmiech2, Marek Danielewski2, Janusz Rybak2

    CMES-Computer Modeling in Engineering & Sciences, Vol.130, No.2, pp. 777-803, 2022, DOI:10.32604/cmes.2022.017729

    Abstract Low-temperature nitriding of steel or iron can produce an expanded austenite phase, which is a solid solution of a large amount of nitrogen dissolved interstitially in fcc lattice. It is characteristic that the nitogen depth profiles in expanded austenite exhibit plateau-type shapes. Such behavior cannot be considered with a standard analytic solution for diffusion in a semi-infinite solid and a new approach is necessary. We formulate a model of interdiffusion in viscoelastic solid (Maxwell model) during the nitriding process. It combines the mass conservation and Vegard’s rule with the Darken bi-velocity method. The model is formulated in any dimension, i.e.,… More >

  • Open Access

    ARTICLE

    Radio Optical Network Simulation Tool (RONST)

    Yasmine I. Abdelhak1,2, Fady Kamel3, Moustafa Hafez2, Hussein E. Kotb4,5, Haitham A. Omran5, Tawfik Ismail6,7,*, Hassan Mostafa2,3

    CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 3685-3702, 2022, DOI:10.32604/cmc.2022.022470

    Abstract This paper presents a radio optical network simulation tool (RONST) for modeling optical-wireless systems. For a typical optical and electrical chain environment, performance should be optimized concurrently before system implementation. As a result, simulating such systems turns out to be a multidisciplinary problem. The governing equations are incompatible with co-simulation in the traditional environments of existing software (SW) packages. The ultra-wideband (UWB) technology is an ideal candidate for providing high-speed short-range access for wireless services. The limited wireless reach of this technology is a significant limitation. A feasible solution to the problem of extending UWB signals is to transmit these… More >

  • Open Access

    ARTICLE

    The Mathematical Model for Streptococcus suis Infection in Pig-Human Population with Humidity Effect

    Inthira Chaiya1, Kamonchat Trachoo1, Kamsing Nonlaopon2, Din Prathumwan2,*

    CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 2981-2998, 2022, DOI:10.32604/cmc.2022.021856

    Abstract In this paper, we developed a mathematical model for Streptococcus suis, which is an epidemic by considering the moisture that affects the infection. The disease is caused by Streptococcus suis infection found in pigs which can be transmitted to humans. The patients of Streptococcus suis were generally found in adults males and the elderly who contacted pigs or who ate uncooked pork. In human cases, the infection can cause a severe illness and death. This disease has an impact to the financial losses in the swine industry. In the development of models for this disease, we have divided the population… More >

  • Open Access

    ARTICLE

    Structure Preserving Algorithm for Fractional Order Mathematical Model of COVID-19

    Zafar Iqbal1,2, Muhammad Aziz-ur Rehman1, Nauman Ahmed1,2, Ali Raza3,4, Muhammad Rafiq5, Ilyas Khan6,*, Kottakkaran Sooppy Nisar7

    CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 2141-2157, 2022, DOI:10.32604/cmc.2022.013906

    Abstract In this article, a brief biological structure and some basic properties of COVID-19 are described. A classical integer order model is modified and converted into a fractional order model with as order of the fractional derivative. Moreover, a valued structure preserving the numerical design, coined as Grunwald–Letnikov non-standard finite difference scheme, is developed for the fractional COVID-19 model. Taking into account the importance of the positivity and boundedness of the state variables, some productive results have been proved to ensure these essential features. Stability of the model at a corona free and a corona existing equilibrium points is investigated on… More >

  • Open Access

    ARTICLE

    Sensitivity Analysis of COVID-19 in Mediterranean Island

    Ahmet Savasan1, Bilgen Kaymakamzade1,2, Nezihal Gokbulut1,2,*, Evren Hincal1,2, Elcin Yoldascan3

    CMES-Computer Modeling in Engineering & Sciences, Vol.130, No.1, pp. 133-148, 2022, DOI:10.32604/cmes.2022.017815

    Abstract The aim of this study is to examine the progress of the worldwide pandemic Covid-19. As authors, we have decided to analyze the situation of COVID-19 on Mediterranean island with accurate data. For this purpose, a mathematical model is constructed and proposed by dividing the whole population into sensible and suitable compartments. The study captures the dates February 01 till May 15, 2021. For the control of the spread of disease, vaccination and infection rates are compared and calculated. During calculations and comparison, MatLab software is used. All of the data that are used are taken from the Ministry of… More >

  • Open Access

    ARTICLE

    Near Future Perspective of ESBL-Producing Klebsiella pneumoniae Strains Using Mathematical Modeling

    Cemile Bagkur1,*, Emrah Guler2,3, Bilgen Kaymakamzade4,5, Evren Hincal4,5, Kaya Suer6

    CMES-Computer Modeling in Engineering & Sciences, Vol.130, No.1, pp. 111-132, 2022, DOI:10.32604/cmes.2022.016957

    Abstract While antibiotic resistance is becoming increasingly serious today, there is almost no doubt that more challenging times await us in the future. Resistant microorganisms have increased in the past decades leading to limited treatment options, along with higher morbidity and mortality. Klebsiella pneumoniae is one of the significant microorganisms causing major public health problems by acquiring resistance to antibiotics and acting as an opportunistic pathogen of healthcare-associated infections. The production of extended spectrum beta-lactamases (ESBL) is one of the resistance mechanisms of K. pneumoniae against antibiotics. In this study, the future clinical situation of ESBL-producing K. pneumoniae was investigated in… More >

  • Open Access

    ARTICLE

    Decoding of Factorial Experimental Design Models Implemented in Production Process

    Borislav Savkovic1, Pavel Kovac1, Branislav Dudic2,3,*, Michal Gregus2

    CMC-Computers, Materials & Continua, Vol.71, No.1, pp. 1661-1675, 2022, DOI:10.32604/cmc.2022.021642

    Abstract The paper deals with factorial experimental design models decoding. For the ease of calculation of the experimental mathematical models, it is convenient first to code the independent variables. When selecting independent variables, it is necessary to take into account the range covered by each. A wide range of choices of different variables is presented in this paper. After calculating the regression model, its variables must be returned to their original values for the model to be easy recognized and represented. In the paper, the procedures of simple first order models, with interactions and with second order models, are presented, which… More >

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