Pub Date : 2023-11-26DOI: 10.1080/02286203.2023.2286395
Bappa Ghosh, J. Mohapatra
{"title":"Numerical simulation for two species time fractional weakly singular model arising in population dynamics","authors":"Bappa Ghosh, J. Mohapatra","doi":"10.1080/02286203.2023.2286395","DOIUrl":"https://doi.org/10.1080/02286203.2023.2286395","url":null,"abstract":"","PeriodicalId":36017,"journal":{"name":"INTERNATIONAL JOURNAL OF MODELLING AND SIMULATION","volume":"2 1","pages":""},"PeriodicalIF":3.1,"publicationDate":"2023-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139236297","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-18DOI: 10.1080/02286203.2023.2281181
Somnath Ganguly, Joyti Mudi, Tapas Si, V. Mukherjee
{"title":"A novel framework for interconnected hybrid power system design using hybridization of metaheuristic algorithms and fuzzy inference","authors":"Somnath Ganguly, Joyti Mudi, Tapas Si, V. Mukherjee","doi":"10.1080/02286203.2023.2281181","DOIUrl":"https://doi.org/10.1080/02286203.2023.2281181","url":null,"abstract":"","PeriodicalId":36017,"journal":{"name":"INTERNATIONAL JOURNAL OF MODELLING AND SIMULATION","volume":"28 1","pages":""},"PeriodicalIF":3.1,"publicationDate":"2023-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139261777","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-16DOI: 10.1080/02286203.2023.2281009
M. Ram, M. Shamshuddin, Ch. Satyanarayana, S. O. Salawu
{"title":"Stagnation point flow of magnetized convective nanofluid via porous stretchy surface subjected to ohmic heating and heat generation","authors":"M. Ram, M. Shamshuddin, Ch. Satyanarayana, S. O. Salawu","doi":"10.1080/02286203.2023.2281009","DOIUrl":"https://doi.org/10.1080/02286203.2023.2281009","url":null,"abstract":"","PeriodicalId":36017,"journal":{"name":"INTERNATIONAL JOURNAL OF MODELLING AND SIMULATION","volume":"34 4","pages":""},"PeriodicalIF":3.1,"publicationDate":"2023-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139267202","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-02DOI: 10.1080/02286203.2023.2273620
J. Alidousti, K. Salehi, Z. Eskandari, E. Rafiean Borujeni
ABSTRACTThis paper aims to investigate and analyze the dynamic behavior of a Duffing equation with a non-linear factor of the fifth-order, which is similar to the one developed by Zhao and Zhang but with a more general bifurcation analysis. While Zhao and Zhang use numerical methods to explore the behavior of the model, this paper employs both analytical and numerical approaches to analyze the bifurcation behavior. The paper determines normal form coefficients of codim-1 bifurcation points, including fold, pitchfork, and Hopf, as well as codim-2 bifurcation points such as Bogdanov-Takens and cusp. The sub-criticality or super-criticality of these bifurcation points is also calculated analytically. The analytical results are then confirmed through numerical simulation and continuations, which reveal more dynamic behaviors of the system. Furthermore, the paper investigates the external forcing effect on the model and extracts its dynamic behaviors.KEYWORDS: Duffing oscillatorbifurcationHopfBogdanov-takenscuspChenciner Disclosure statementNo potential conflict of interest was reported by the author(s).AcknowledgmentsCompliance with ethical standards, the authors declare that they have no conflict of interest concerning the publication of this manuscript.Additional informationNotes on contributorsJ. AlidoustiJ. Alidousti received his M.Sc. and Ph.D. degrees in applied mathematics from Amirkabir University of Technology and Shahrekord University in 2009 and 2016, respectively. Now, he is an assistant professor of mathematical department at Shahrekord University, Shahrekord, Iran. He has published about several scientific papers in international journals. His research interests include dynamical systems and bifurcation analysis.K. SalehiK. Salehi received his Ph.D. in computer science from University of Tabriz in 2019, M.Sc. and B.Sc. in computer science from Sharif University of Technology and Yazd University in 2010 and 2007, respectively. He is currently an assistant professor of computer science in Shahrekord University, Iran. His main research involves the challenges and solutions of the interaction of machine learning and formal methods as well as scientific computation.Z. EskandariZ. Eskandari received her M.Sc. and Ph.D. degrees in applied mathematics from Isfahan University of Technology, in 2006 and 2019. She worked for two years in the Shahrekord University as a postdoctoral researcher. During her research, she was a scholar visitor with applied mathematics Group, University of Twente, Enchede, the Netherlands for 6 months. Now, she is an assistant professor of mathematical department at the Fasa University, Iran. Her research interests include dynamical systems and bifurcation analysis.E. Rafiean BorujeniE. Rafiean Borujeni received her B.Sc. and M.Sc. degrees in applied mathematics from Shiraz University and Shahrekord University in 2009 and 2023, respectively. She is currently is pursuing Ph.D. degree in dynamical system at Shahrekord Uni
摘要本文研究一类五阶非线性因子Duffing方程的动力学行为,该方程与Zhao和Zhang提出的Duffing方程相似,但具有更一般的分岔分析。Zhao和Zhang使用数值方法来探索模型的行为,而本文使用解析和数值方法来分析分岔行为。本文确定了codim-1分岔点(fold、pitchfork、Hopf)和codim-2分岔点(Bogdanov-Takens、cusp)的范式系数。并对这些分岔点的亚临界和超临界进行了分析计算。通过数值模拟和延拓验证了分析结果,揭示了系统更多的动力学行为。进一步研究了外力对模型的影响,提取了模型的动力特性。关键词:Duffing振荡分岔hopfbogdanov - takenscuspchenciner披露声明作者未报告潜在的利益冲突。根据伦理标准,作者声明他们在发表这篇文章时没有利益冲突。其他信息关于贡献者的说明。AlidoustiJ。Alidousti分别于2009年和2016年获得Amirkabir University of Technology和Shahrekord University的应用数学硕士和博士学位。现在,他是伊朗Shahrekord大学数学系的助理教授。他在国际期刊上发表了几篇科学论文。主要研究方向为动力系统和分岔分析。SalehiK。Salehi于2019年获得大不里士大学计算机科学博士学位,2010年和2007年分别获得谢里夫理工大学和亚兹德大学计算机科学硕士和学士学位。他目前是伊朗Shahrekord大学计算机科学助理教授。他的主要研究涉及机器学习与形式化方法以及科学计算相互作用的挑战和解决方案。EskandariZ。Eskandari于2006年和2019年分别获得伊斯法罕理工大学应用数学硕士和博士学位。她在Shahrekord大学做了两年的博士后研究员。研究期间,赴荷兰恩切德特文特大学应用数学组访问学者6个月。现在,她是伊朗法萨大学数学系的助理教授。主要研究方向为动力系统和分岔分析。Rafiean BorujeniE。Rafiean Borujeni于2009年和2023年分别获得设拉子大学(Shiraz University)和Shahrekord大学(Shahrekord University)应用数学学士和硕士学位。她目前在Shahrekord大学攻读动力系统博士学位,导师是Javad Alidousti博士。主要研究方向为分岔分析。
{"title":"Bifurcation analysis of Duffing oscillator with a fifth-order nonlinear factor","authors":"J. Alidousti, K. Salehi, Z. Eskandari, E. Rafiean Borujeni","doi":"10.1080/02286203.2023.2273620","DOIUrl":"https://doi.org/10.1080/02286203.2023.2273620","url":null,"abstract":"ABSTRACTThis paper aims to investigate and analyze the dynamic behavior of a Duffing equation with a non-linear factor of the fifth-order, which is similar to the one developed by Zhao and Zhang but with a more general bifurcation analysis. While Zhao and Zhang use numerical methods to explore the behavior of the model, this paper employs both analytical and numerical approaches to analyze the bifurcation behavior. The paper determines normal form coefficients of codim-1 bifurcation points, including fold, pitchfork, and Hopf, as well as codim-2 bifurcation points such as Bogdanov-Takens and cusp. The sub-criticality or super-criticality of these bifurcation points is also calculated analytically. The analytical results are then confirmed through numerical simulation and continuations, which reveal more dynamic behaviors of the system. Furthermore, the paper investigates the external forcing effect on the model and extracts its dynamic behaviors.KEYWORDS: Duffing oscillatorbifurcationHopfBogdanov-takenscuspChenciner Disclosure statementNo potential conflict of interest was reported by the author(s).AcknowledgmentsCompliance with ethical standards, the authors declare that they have no conflict of interest concerning the publication of this manuscript.Additional informationNotes on contributorsJ. AlidoustiJ. Alidousti received his M.Sc. and Ph.D. degrees in applied mathematics from Amirkabir University of Technology and Shahrekord University in 2009 and 2016, respectively. Now, he is an assistant professor of mathematical department at Shahrekord University, Shahrekord, Iran. He has published about several scientific papers in international journals. His research interests include dynamical systems and bifurcation analysis.K. SalehiK. Salehi received his Ph.D. in computer science from University of Tabriz in 2019, M.Sc. and B.Sc. in computer science from Sharif University of Technology and Yazd University in 2010 and 2007, respectively. He is currently an assistant professor of computer science in Shahrekord University, Iran. His main research involves the challenges and solutions of the interaction of machine learning and formal methods as well as scientific computation.Z. EskandariZ. Eskandari received her M.Sc. and Ph.D. degrees in applied mathematics from Isfahan University of Technology, in 2006 and 2019. She worked for two years in the Shahrekord University as a postdoctoral researcher. During her research, she was a scholar visitor with applied mathematics Group, University of Twente, Enchede, the Netherlands for 6 months. Now, she is an assistant professor of mathematical department at the Fasa University, Iran. Her research interests include dynamical systems and bifurcation analysis.E. Rafiean BorujeniE. Rafiean Borujeni received her B.Sc. and M.Sc. degrees in applied mathematics from Shiraz University and Shahrekord University in 2009 and 2023, respectively. She is currently is pursuing Ph.D. degree in dynamical system at Shahrekord Uni","PeriodicalId":36017,"journal":{"name":"INTERNATIONAL JOURNAL OF MODELLING AND SIMULATION","volume":"17 18","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135973576","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-31DOI: 10.1080/02286203.2023.2270881
Gopinath Mandal, Dulal Pal
{"title":"Numerical studies on the effects of melting heat transfer over quadratic radiative-magnetic hybrid nanofluid flow toward a porous shrinkable surface influenced by second-order slip velocity: Stability analysis and entropy generation","authors":"Gopinath Mandal, Dulal Pal","doi":"10.1080/02286203.2023.2270881","DOIUrl":"https://doi.org/10.1080/02286203.2023.2270881","url":null,"abstract":"","PeriodicalId":36017,"journal":{"name":"INTERNATIONAL JOURNAL OF MODELLING AND SIMULATION","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135870646","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-30DOI: 10.1080/02286203.2023.2254192
Mohan M, None M. Akila, Prasath B
{"title":"A review of plant disease detection and classification methods","authors":"Mohan M, None M. Akila, Prasath B","doi":"10.1080/02286203.2023.2254192","DOIUrl":"https://doi.org/10.1080/02286203.2023.2254192","url":null,"abstract":"","PeriodicalId":36017,"journal":{"name":"INTERNATIONAL JOURNAL OF MODELLING AND SIMULATION","volume":"30 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136104299","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-30DOI: 10.1080/02286203.2023.2274062
Ahmed Elnozahy, Moayed Mohamed, Khairy Sayed, Mohamed Bahyeldin, Shazly A. Mohamed
ABSTRACTTraditional techniques are used for fault location detection in high-voltage transmission lines that mostly depend on traveling waves and impedance-based techniques suffer from large errors owing to the intricacy of fault modeling for various types of faults. Although single-line to ground faults are dominant in high-voltage transmission lines, fault resistance as well as fault inception angle might distort the current fault detection techniques. In addition, other types of faults exist and that raises the need to develop an accurate fault detection technique to minimize the recovery time. The current paper introduces a fuzzy and neuro-fuzzy algorithm to detect, analyze, and locate different faults taking place in high-voltage transmission lines. A MATLAB Simulink Model is used for analyzing different fault cases; fault detection and classification are done by the Fuzzy Interface System (FIS), while fault location detection is done using the Adaptive Neuro-Fuzzy Interface System (ANFIS). The introduced algorithm is evaluated via the Mean Square Error (MSE) technique. The results showed full success in detecting and identifying different fault types, with a 0.0042 validity performance factor for fault location detection using ANFIS.KEYWORDS: Fuzzy-neuro-fuzzyfault locationhigh voltage transmission linesfuzzy interface systemadaptive neuro-fuzzy interface system AbbreviationsThe following abbreviations are applied in this manuscript:FIS Fuzzy Interface SystemANFIS Adaptive Neuro-Fuzzy Interface SystemANN Artificial Neural NetworkMSE Mean Square ErrorFL Fuzzy LogicMF Membership FunctionFFT Fast Fourier TransformDFT Discrete Fourier TransformTS Takagi – Sugeno methodTL transmission lineDisclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThis research received no external funding.
{"title":"Fault identification and classification algorithm for high voltage transmission lines based on a fuzzy-neuro-fuzzy approach","authors":"Ahmed Elnozahy, Moayed Mohamed, Khairy Sayed, Mohamed Bahyeldin, Shazly A. Mohamed","doi":"10.1080/02286203.2023.2274062","DOIUrl":"https://doi.org/10.1080/02286203.2023.2274062","url":null,"abstract":"ABSTRACTTraditional techniques are used for fault location detection in high-voltage transmission lines that mostly depend on traveling waves and impedance-based techniques suffer from large errors owing to the intricacy of fault modeling for various types of faults. Although single-line to ground faults are dominant in high-voltage transmission lines, fault resistance as well as fault inception angle might distort the current fault detection techniques. In addition, other types of faults exist and that raises the need to develop an accurate fault detection technique to minimize the recovery time. The current paper introduces a fuzzy and neuro-fuzzy algorithm to detect, analyze, and locate different faults taking place in high-voltage transmission lines. A MATLAB Simulink Model is used for analyzing different fault cases; fault detection and classification are done by the Fuzzy Interface System (FIS), while fault location detection is done using the Adaptive Neuro-Fuzzy Interface System (ANFIS). The introduced algorithm is evaluated via the Mean Square Error (MSE) technique. The results showed full success in detecting and identifying different fault types, with a 0.0042 validity performance factor for fault location detection using ANFIS.KEYWORDS: Fuzzy-neuro-fuzzyfault locationhigh voltage transmission linesfuzzy interface systemadaptive neuro-fuzzy interface system AbbreviationsThe following abbreviations are applied in this manuscript:FIS Fuzzy Interface SystemANFIS Adaptive Neuro-Fuzzy Interface SystemANN Artificial Neural NetworkMSE Mean Square ErrorFL Fuzzy LogicMF Membership FunctionFFT Fast Fourier TransformDFT Discrete Fourier TransformTS Takagi – Sugeno methodTL transmission lineDisclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThis research received no external funding.","PeriodicalId":36017,"journal":{"name":"INTERNATIONAL JOURNAL OF MODELLING AND SIMULATION","volume":"20 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136068198","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-27DOI: 10.1080/02286203.2023.2274254
Serdar Ekinci, Özay Can, Davut Izci
ABSTRACTThis paper proposes a modified optimization technique to determine the parameters of a real proportional-integral-derivative plus second-order derivative (real PIDD2) controller adopted in an automatic voltage regulator (AVR). In this regard, a modified opposition learning (mOBL) based weighted mean of vectors (INFO) algorithm (mOBL-INFO) is proposed for the first time. The performance of the proposed algorithm was initially tested on several benchmark functions with unimodal, multimodal, and low-dimensional properties. The obtained results against test functions were compared with the original INFO algorithm as the latter has already been shown to present superior results against several recent and effective metaheuristic algorithms. The developed mOBL-INFO algorithm was then used to adjust a real PIDD2 controller for the AVR system. The performance of the proposed method was tested using several analyses such as transient response, stability, and robustness. The related analyses demonstrated good promise of the proposed method for AVR system control. Furthermore, previously reported 26 effective methods were also employed to assess the performance of the mOBL-INFO-based real PIDD2 controller for the AVR system. The obtained results demonstrated that the proposed method in this study has an excellent transient response performance for AVR system control.KEYWORDS: Automatic voltage regulatorreal PID plus second-order derivative controllerweighted mean of vectors algorithmopposition-based learning mechanismMetaheuristics Disclosure statementThe authors have no affiliation with any organization with a direct or indirect financial interest in the subject matter discussed in the manuscript. This manuscript has not been submitted to, nor is under review at, another journal or other publishing venue.Data availability statementData sharing is not applicable to this article as no datasets were generated or analyzed during the current study.Compliance with ethical standardsThis article does not contain any studies with human participants and/or animals performed by any authors.Additional informationFundingNo funding has been received for this work.Notes on contributorsSerdar EkinciSerdar Ekinci received his BSc degree in Control Engineering, and his MSc and PhD degrees in Electrical Engineering all from Istanbul Technical University (ITU), in 2007, 2010 and 2015, respectively. He is currently an Associate Professor working in Department of Computer Engineering at Batman University, Turkey. His areas of interest are electrical power systems, stability, control technology and the applications of metaheuristic optimization algorithms to various control systems.Özay CanÖzay Can received his BSc, MSc, and PhD degrees in Electrical Electronics Engineering all from Duzce University, in 2011, 2016, and 2022, respectively. He is currently an Assistant Professor working in Department of Electronics and Automation at Recep Tayyip Erdogan University, Turkey.
{"title":"Controller design for automatic voltage regulator system using modified opposition-based weighted mean of vectors algorithm","authors":"Serdar Ekinci, Özay Can, Davut Izci","doi":"10.1080/02286203.2023.2274254","DOIUrl":"https://doi.org/10.1080/02286203.2023.2274254","url":null,"abstract":"ABSTRACTThis paper proposes a modified optimization technique to determine the parameters of a real proportional-integral-derivative plus second-order derivative (real PIDD2) controller adopted in an automatic voltage regulator (AVR). In this regard, a modified opposition learning (mOBL) based weighted mean of vectors (INFO) algorithm (mOBL-INFO) is proposed for the first time. The performance of the proposed algorithm was initially tested on several benchmark functions with unimodal, multimodal, and low-dimensional properties. The obtained results against test functions were compared with the original INFO algorithm as the latter has already been shown to present superior results against several recent and effective metaheuristic algorithms. The developed mOBL-INFO algorithm was then used to adjust a real PIDD2 controller for the AVR system. The performance of the proposed method was tested using several analyses such as transient response, stability, and robustness. The related analyses demonstrated good promise of the proposed method for AVR system control. Furthermore, previously reported 26 effective methods were also employed to assess the performance of the mOBL-INFO-based real PIDD2 controller for the AVR system. The obtained results demonstrated that the proposed method in this study has an excellent transient response performance for AVR system control.KEYWORDS: Automatic voltage regulatorreal PID plus second-order derivative controllerweighted mean of vectors algorithmopposition-based learning mechanismMetaheuristics Disclosure statementThe authors have no affiliation with any organization with a direct or indirect financial interest in the subject matter discussed in the manuscript. This manuscript has not been submitted to, nor is under review at, another journal or other publishing venue.Data availability statementData sharing is not applicable to this article as no datasets were generated or analyzed during the current study.Compliance with ethical standardsThis article does not contain any studies with human participants and/or animals performed by any authors.Additional informationFundingNo funding has been received for this work.Notes on contributorsSerdar EkinciSerdar Ekinci received his BSc degree in Control Engineering, and his MSc and PhD degrees in Electrical Engineering all from Istanbul Technical University (ITU), in 2007, 2010 and 2015, respectively. He is currently an Associate Professor working in Department of Computer Engineering at Batman University, Turkey. His areas of interest are electrical power systems, stability, control technology and the applications of metaheuristic optimization algorithms to various control systems.Özay CanÖzay Can received his BSc, MSc, and PhD degrees in Electrical Electronics Engineering all from Duzce University, in 2011, 2016, and 2022, respectively. He is currently an Assistant Professor working in Department of Electronics and Automation at Recep Tayyip Erdogan University, Turkey. ","PeriodicalId":36017,"journal":{"name":"INTERNATIONAL JOURNAL OF MODELLING AND SIMULATION","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136263231","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-26DOI: 10.1080/02286203.2023.2270880
Zahra S. Hafed, Sameh A. Hussein, Abdulaziz Alenazi, Anas A. M. Arafa, Sameh E. Ahmed
ABSTRACTIn this article, the viscoelastic nanofluid external flow using the model that considers the Brownian motion and thermophores is examined. A non-Newtonian liquid has variable properties, namely dynamic viscosity and thermal conductivity, and these depended on temperature distributions. Third order mathematical formulations include some important impacts such as Lorentz force, non-linear radiation, exponential heat generation, viscous dissipation, and Arrhenius activation energy. Also, the flow on the outer edge has slip conditions, variable nanoparticle distributions, and convective boundary conditions. The solution technique is based on reducing the fourth order derivatives of ODEs (Ordinary Differential Equations) and shooting method. From the major results, it is noted that the variable property case gives a higher rate of heat transfer compared to the constant case. The slip-velocity condition in the case of the viscoelastic nanofluids causes higher velocity features for the non-Newtonian suspension compared to the case of Newtonian nanofluids. Minimization of the viscoelastic parameter, viscosity parameter, and mixed convection parameter is the best to obtain the higher values of skin friction coefficient.KEYWORDS: Nanofluidsthermal energyvariable propertiesviscoelasticslip velocitydissipative flownumerical results TableDisplay TableAcknowledgmentsThe authors extend their appreciation to the Deanship of Scientific Research at King Khalid University for funding this work through a large group Research Project under grant number RGP2/330/44.Disclosure statementThe authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.Availability of data and materialsThe data and materials that support the findings of this study are available from the corresponding author upon reasonable request.Additional informationFundingThe work was supported by the King Khalid University.Notes on contributorsZahra S. HafedZahra S. Hafed obtained her doctorate degree in Applied Mathematics from King Abdul Aziz University, Department of Mathematics, Faculty of Science, KSA. She is currently an assistant professor in the Department of Mathematics, Faculty of Science, King Khalid University. Currently, her research interest is in computational sciences, applied mathematics, fluid mechanics, mathematical modelling, magnetohydrodynamic, boundary layer flows, and heat and mass transfer with its application to hydro magnetic. She has several international publications in reputable journals to her credits.Sameh A. HusseinSameh A. Hussein obtained his doctorate degree in Applied Mathematics from Zagazig University, Department of Mathematics, Faculty of Science, Egypt. He is currently a lecturer in the Department of Mathematics, Faculty of Science, Zagazig University. Currently, his research interest is in computational sciences, applied mathematics, fluid mechanic
摘要本文用考虑布朗运动和热团的模型研究了粘弹性纳米流体的外部流动。非牛顿液体具有可变的性质,即动态粘度和热导率,而这些取决于温度分布。三阶数学公式包括一些重要的影响,如洛伦兹力、非线性辐射、指数生热、粘性耗散和阿伦尼乌斯活化能。此外,外缘流动具有滑移条件、可变纳米颗粒分布和对流边界条件。求解技术是基于常微分方程的四阶导数化简和射击法。从主要结果来看,可以注意到,与恒定情况相比,可变性质情况下的传热率更高。粘弹性纳米流体的滑移速度条件导致非牛顿悬浮液比牛顿纳米流体具有更高的速度特征。粘弹性参数、黏度参数和混合对流参数的最小化是获得较高表面摩擦系数的最佳方法。关键词:纳米流体,热能,可变特性,粘弹性,滑移速度,耗散流,数值结果表格显示表格致谢作者感谢国王哈立德大学的科学研究主任通过一个大型小组研究项目资助了这项工作,资助项目编号为RGP2/330/44。披露声明作者声明,他们没有已知的竞争经济利益或个人关系,可能会影响本文所报道的工作。数据和材料的可获得性支持本研究结果的数据和材料可根据通讯作者的合理要求提供。这项工作得到了哈立德国王大学的支持。szahra S. Hafed zahra S. Hafed获得沙特阿拉伯阿卜杜勒阿齐兹国王大学理学院数学系应用数学博士学位。她目前是哈立德国王大学理学院数学系的助理教授。主要研究方向为计算科学、应用数学、流体力学、数学建模、磁流体力学、边界层流动、传热传质及其在磁流体中的应用。她在国际知名期刊上发表过几篇文章。Sameh A. Hussein获得埃及Zagazig大学理学院数学系应用数学博士学位。他目前是扎加齐格大学理学院数学系讲师。目前主要研究方向为计算科学、应用数学、流体力学、数学建模、磁流体力学、边界层流动、传热传质及其在磁流体中的应用。他在国际知名期刊上发表过几篇文章。Abdulaziz Alenazi毕业于英国谢菲尔德大学,获得统计学博士学位。他目前是沙特阿拉伯阿拉尔北部边境大学理学院数学系统计学助理教授。主要研究方向为统计与数学方法、成分数据分析、统计与数学建模、贝叶斯统计分析和计算统计。他在国际知名期刊上发表过几篇文章。Anas A. M. ArafaAnas A. M. Arafa获得埃及南谷大学理学院数学系纯数学博士学位。他目前是卡西姆大学文理学院数学系副教授。主要研究方向为数学方法、流体力学和数学建模。他在国际知名期刊上发表过几篇文章。Sameh E. Ahmed获得埃及南谷大学理学院数学系应用数学博士学位。现任哈立德国王大学理学院数学系教授。主要研究方向为数学方法、流体力学和数学建模。他在国际知名期刊上发表过几篇文章。
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