麦克斯韦流体中的传热传质与纳米颗粒在经过拉伸薄片时存在热辐射和化学反应

IF 3.1 Q1 ENGINEERING, MULTIDISCIPLINARY INTERNATIONAL JOURNAL OF MODELLING AND SIMULATION Pub Date : 2023-10-15 DOI:10.1080/02286203.2023.2266798
N. Venkatesh, R. Srinivasa Raju, M. Anil Kumar, Ch. Vijayabhaskar
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The partial differential equations (PDEs) that govern the flow and the boundary conditions that correspond with them may be non-dimensionalized by using the appropriate similarity variables. The resulting transformed ordinary differential equations (ODEs) are solved using the Runge-Kutta-Fehlberg scheme of the fourth and fifth order. By assuming a value for the boundary condition, the shooting approach transforms the boundary value problem (BVP) into an initial value problem (IVP), which is subsequently solved using the RKF45 algorithm. Graphical representations of how such embedded thermo-physical parameters significantly impact the velocity, temperature, and concentration are assessed and shown. A comparison case study is made with previously published literature, and a great correlation between the results exists. The primary results of the research are that raising estimates of the chemical reaction parameter minimises the concentration distribution while increasing the thermal radiation parameter raises the temperature. As the quantity of thermophoresis rises, the thickness of the boundary layer increases, causing the surface temperature to rise, resulting in a temperature rise.KEYWORDS: Stretching sheetnanoparticlesthermal radiationMaxwell fluid Nomenclature Bi=Biot numberc=positive constantC=Concentration of the fluid molm−3Cw=Fluid concentration at the wall molm−3C∞=Fluid Concentration at infinity molm−3Cs=Concentration susceptibilityCp=Specific heat at constant pressure J.Kg−1.KCf=Skin frictionDB=Brownian diffusionDT=Coefficient of thermophoretic diffusionDM=Mass diffusivity m2.s−1f=Dimensionless velocity stream functionhf=Heat transfer coefficientk=Thermal conductivity ω.m−1.K−1k0=Maxwell fluid relaxation timeKT=Thermal-diffusion ratio parameterKr=Chemical reaction parameterLe=Lewis NumberNb=Brownian Motion ParameterNt=Thermophoresis parameterNr=Radiation ParameterNux=local Nusselt numberPr=Prandtl numberShx=local Sherwood numberT=Temperature of fluid near the plate KTw=Fluid temperature closer to the wallKT∞=fluid Temperature at infinity KTf=The temperature of hot fluidu=Dimensionless velocity along x-axism.s−1v=Dimensionless velocity along of y- axism.s−1x,y=Cartesian coordinatesGreek letters=α=Thermal diffusivityβ=Maxwell parameterσ=Electrical conductivity Ω−1m−1ρ=Fluid density (kg/m3)ρp=Density of the particlesρf=Density of the base fluidμ=Dynamic viscosityη=Dimensionless similarity variableν=Kinematic viscosity (m2s−1)θ=Dimensionless temperature of the fluidφ=Dimensionless fluid concentrationψ=Stream functionSubscripts=w=condition at the stretching sheet∞=conditions at infinitySuperscript=′=differentiation with respect to ηDisclosure statementNo potential conflict of interest was reported by the authors.Additional informationFundingThe authors received no financial support for the research, authorship, and publication of this article.Notes on contributorsN. VenkateshMr. N. Venkatesh working as an Assistant professor in the Department of Mathematics, at Anurag University. He received his Master of Science (Mathematics) from National Institute of Technology Warangal, in 2011 and is Pursuing Ph.D. in Mathematics from GITAM University Hyderabad. He has over 12 years of teaching and research experience. He has 5 publications to his credit in reputed international journals. He also presented papers at various National and International conferences. He received the patent right in Micropolar fluids from Intellectual Property of India in 2022 He is a member of the Indian Science Congress and Telangana State Mathematical Society. His research areas include Fluid mechanics, Heat, and Mass transfer.R. Srinivasa RajuDr. R. Srinivasa Raju is presently working as an Associate Professor at GITAM School of Science, GITAM (Deemed to be University), Hyderabad Campus, Rudraram, Hyderabad, Telangana state, India. He acquired his Doctorate in Applied Mathematics from Osmania University in 2012, and he also received his Master of Science in Applied Mathematics from Osmania University in 2005. He has over 115 publications in International and National reputed Journals. He also attended and paper presented in various National and International Conferences. He has published a book entitled Finite Element Technique on MHD Fluid Flow Problems by RIGI Publications. He serves as an editorial member for four international journals. He is a member of several National and International Mathematical Societies. He received the Srinivasa Ramanujan Life Time Achievement National Award in the year 2018. He has also received the Prestigious Award for Young Educator and Scholar Award from the National Foundation for Entrepreneurship Development (NFED) in the year 2018. He has produced 4 doctoral candidates. He is currently supervising 10 research scholars.M. Anil KumarDr. M. Anil kumar working as an Associate professor in the Department of Mathematics, at Anurag University. In the year 2020, he obtained his Doctorate from GITAM (Deemed to be University), Visakhapatnam, India, and in 2005, he received his Master of Science in Applied Mathematics from the National Institute of Technology Warangal. Dr. Anil kumar has over 18 years of teaching experience and over 8 years of research experience. He received the Best Teacher award from Anurag University for the academic year 2022-2023. He has 23 publications to his credit in reputed national and international journals. He received a SEED money project from Anurag University of Rs 2 lakhs for the Academic year 2021-22. He received the patent right in Micropolar fluids from Intellectual Property of India in 2022. He also presented papers at various National and International conferences. He is a member of several National and International Mathematical Societies. His research areas include Fluid mechanics, Heat, and Mass transfer. He is currently supervising one research scholar.Ch. VijayabhaskarDr. Ch. Vijayabhaskar is an Assistant Professor in the Department of Mathematics, Anurag University, and Hyderabad, India. He received his M.Sc. in Mathematics from Osmania University, Hyderabad, India. He received his Ph.D. degree in Applied Mathematics from GITAM University, Andra Pradesh, India. He qualified in Telangana State Eligibility Test (TS-SET). He is a Life member of APTSMS. He has more than eighteen years of experience in teaching and research. His current area of research studies includes Fluid dynamics, Magneto hydrodynamics, Heat and mass transfer. 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He acquired his Doctorate in Applied Mathematics from Osmania University in 2012, and he also received his Master of Science in Applied Mathematics from Osmania University in 2005. He has over 115 publications in International and National reputed Journals. He also attended and paper presented in various National and International Conferences. He has published a book entitled Finite Element Technique on MHD Fluid Flow Problems by RIGI Publications. He serves as an editorial member for four international journals. He is a member of several National and International Mathematical Societies. He received the Srinivasa Ramanujan Life Time Achievement National Award in the year 2018. He has also received the Prestigious Award for Young Educator and Scholar Award from the National Foundation for Entrepreneurship Development (NFED) in the year 2018. He has produced 4 doctoral candidates. He is currently supervising 10 research scholars.M. Anil KumarDr. M. 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引用次数: 0

摘要

摘要本文的目的是研究不可压缩的二维麦克斯韦流体中含有导电纳米粒子的传热传质特性。它们通过使用具有对流边界条件的拉伸片和热辐射和化学相互作用下的热源/汇来说明。由于其在工业上的广泛应用和对各种制造工艺的巨大影响,对拉伸板的磁流和传热的研究最近引起了人们的极大关注。电厂、热交换器、MHD发电机、空气动力学、塑料片挤压、冷凝过程和金属纺丝都是这些过程的例子。控制流动和与之相对应的边界条件的偏微分方程(PDEs)可以通过使用适当的相似变量进行无量纲化。利用四阶和五阶Runge-Kutta-Fehlberg格式求解变换后的常微分方程。该方法通过假设边界条件的一个值,将边界值问题(BVP)转化为初值问题(IVP),然后使用RKF45算法求解。评估和显示了这些嵌入的热物理参数如何显著影响速度、温度和浓度的图形表示。并与以往发表的文献进行了对比案例研究,结果之间存在较大的相关性。研究的主要结果是,提高化学反应参数的估计使浓度分布最小化,而增加热辐射参数则使温度升高。随着热泳量的增加,边界层厚度增加,引起表面温度升高,从而产生温升。关键词:拉伸纳米薄片;热辐射;麦克斯韦流体命名法;Bi=Biot数;c=正常数;tc =流体浓度;molm−3Cw=壁面流体浓度;molm−3C∞;KCf=皮肤摩擦db =布朗扩散dt =热泳扩散系数dm =质量扩散系数m2。s−1f=无量纲流速函数hf=传热系数entk=导热系数ω。K−1k0=麦克斯韦流体弛豫时间kt =热扩散比参数kr =化学反应参数le =路易斯数bernb =布朗运动参数nt =热疏入参数nr =辐射参数nux =局部努瑟尔数pr =普朗特尔数shx =局部舍伍德数bert =靠近平板的流体温度KTw=靠近壁面的流体温度kt∞=无限远处的流体温度KTf=热流体温度u=沿x轴的无因次速度。s - 1v=沿y轴的无因次速度。s−1x,y=笛卡尔坐标希腊字母=α=热扩散系数β=麦克斯韦参数σ=电导率Ω−1m−1ρ=流体密度(kg/m3)ρp=粒子密度ρf=基流体密度μ=动力粘度η=无量纲相似度变量ν=运动粘度(m2s−1)θ=流体的无量纲温度φ=无量纲流体浓度ψ=流函数下标=w=拉伸片处的条件∞=无限处的条件上标= ' =对η的微分作者未发现潜在的利益冲突。作者在研究、撰写和发表这篇文章时没有得到任何经济支持。关于贡献者的说明VenkateshMr。N. Venkatesh是阿努拉格大学数学系的助理教授。他于2011年获得瓦朗加尔国家理工学院数学硕士学位,目前正在海德拉巴GITAM大学攻读数学博士学位。他有超过12年的教学和研究经验。他在国际知名期刊上发表了5篇文章。他还在各种国内和国际会议上发表论文。他于2022年从印度知识产权局获得了微极流体的专利权,他是印度科学大会和特伦加纳邦数学学会的成员。主要研究方向为流体力学、热学、传质。Srinivasa RajuDr。R. Srinivasa Raju目前在印度特伦甘纳邦海得拉巴Rudraram海得拉巴校区GITAM科学学院(被视为大学)担任副教授。他于2012年获得Osmania大学应用数学博士学位,并于2005年获得Osmania大学应用数学硕士学位。他在国际和国内知名期刊上发表了115篇以上的文章。 他还参加了各种国内和国际会议并发表论文。他出版了一本名为《MHD流体流动问题的有限元技术》的书,由RIGI出版。他是四家国际期刊的编辑。他是几个国家和国际数学学会的成员。2018年,他获得了斯里尼瓦萨·拉马努金终身成就奖。他还获得了2018年国家创业发展基金会(NFED)颁发的青年教育家和学者奖。他培养了4名博士研究生。他目前指导着10名研究学者。Anil KumarDr。M. Anil kumar是阿努拉格大学数学系的副教授。在2020年,他获得了印度维萨卡帕特南GITAM(被认为是大学)的博士学位,并于2005年获得了瓦朗加尔国家技术学院应用数学硕士学位。Anil kumar博士拥有超过18年的教学经验和超过8年的研究经验。他获得了阿努拉格大学2022-2023学年最佳教师奖。他在国内和国际知名期刊上发表了23篇文章。他在2021-22学年获得了阿努拉格大学20万卢比的种子资金项目。他于2022年从印度知识产权局获得了微极流体的专利权。他还在各种国内和国际会议上发表论文。他是几个国家和国际数学学会的成员。他的研究领域包括流体力学、热学和传质。他目前指导一名研究学者。VijayabhaskarDr。Ch. Vijayabhaskar是印度海德拉巴阿努拉格大学数学系的助理教授。他在印度海得拉巴的Osmania大学获得数学硕士学位。他获得印度安德拉邦GITAM大学应用数学博士学位。他通过了特伦甘纳邦资格考试(TS-SET)。他是APTSMS的终身会员。他有超过18年的教学和研究经验。他目前的研究领域包括流体动力学,磁流体动力学,传热和传质。他在知名期刊上发表了许多研究论文,并参加了许多国内和国际会议。
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Heat and mass transfer in Maxwell fluid with nanoparticles past a stretching sheet in the existence of thermal radiation and chemical reaction
ABSTRACTThe objective of this work is to examine the distinctive features of heat and mass transfer in a 2-dimensional Maxwell fluid that is incompressible and contains electrically conducting nanoparticles. They are illustrated by using a stretched sheet with convective boundary conditions and a heat source/sink in the presence of thermal radiation and chemical interaction. Studies of hydromagnetic flow and heat transfer across a stretched sheet have lately attracted a great deal of attention as a result of its numerous industrial applications and a huge impact on a broad variety of manufacturing processes. Power plants, heat exchangers, MHD generators, aerodynamics, plastic sheet extrusion, condensation processes, and metal spinning are examples of these processes. The partial differential equations (PDEs) that govern the flow and the boundary conditions that correspond with them may be non-dimensionalized by using the appropriate similarity variables. The resulting transformed ordinary differential equations (ODEs) are solved using the Runge-Kutta-Fehlberg scheme of the fourth and fifth order. By assuming a value for the boundary condition, the shooting approach transforms the boundary value problem (BVP) into an initial value problem (IVP), which is subsequently solved using the RKF45 algorithm. Graphical representations of how such embedded thermo-physical parameters significantly impact the velocity, temperature, and concentration are assessed and shown. A comparison case study is made with previously published literature, and a great correlation between the results exists. The primary results of the research are that raising estimates of the chemical reaction parameter minimises the concentration distribution while increasing the thermal radiation parameter raises the temperature. As the quantity of thermophoresis rises, the thickness of the boundary layer increases, causing the surface temperature to rise, resulting in a temperature rise.KEYWORDS: Stretching sheetnanoparticlesthermal radiationMaxwell fluid Nomenclature Bi=Biot numberc=positive constantC=Concentration of the fluid molm−3Cw=Fluid concentration at the wall molm−3C∞=Fluid Concentration at infinity molm−3Cs=Concentration susceptibilityCp=Specific heat at constant pressure J.Kg−1.KCf=Skin frictionDB=Brownian diffusionDT=Coefficient of thermophoretic diffusionDM=Mass diffusivity m2.s−1f=Dimensionless velocity stream functionhf=Heat transfer coefficientk=Thermal conductivity ω.m−1.K−1k0=Maxwell fluid relaxation timeKT=Thermal-diffusion ratio parameterKr=Chemical reaction parameterLe=Lewis NumberNb=Brownian Motion ParameterNt=Thermophoresis parameterNr=Radiation ParameterNux=local Nusselt numberPr=Prandtl numberShx=local Sherwood numberT=Temperature of fluid near the plate KTw=Fluid temperature closer to the wallKT∞=fluid Temperature at infinity KTf=The temperature of hot fluidu=Dimensionless velocity along x-axism.s−1v=Dimensionless velocity along of y- axism.s−1x,y=Cartesian coordinatesGreek letters=α=Thermal diffusivityβ=Maxwell parameterσ=Electrical conductivity Ω−1m−1ρ=Fluid density (kg/m3)ρp=Density of the particlesρf=Density of the base fluidμ=Dynamic viscosityη=Dimensionless similarity variableν=Kinematic viscosity (m2s−1)θ=Dimensionless temperature of the fluidφ=Dimensionless fluid concentrationψ=Stream functionSubscripts=w=condition at the stretching sheet∞=conditions at infinitySuperscript=′=differentiation with respect to ηDisclosure statementNo potential conflict of interest was reported by the authors.Additional informationFundingThe authors received no financial support for the research, authorship, and publication of this article.Notes on contributorsN. VenkateshMr. N. Venkatesh working as an Assistant professor in the Department of Mathematics, at Anurag University. He received his Master of Science (Mathematics) from National Institute of Technology Warangal, in 2011 and is Pursuing Ph.D. in Mathematics from GITAM University Hyderabad. He has over 12 years of teaching and research experience. He has 5 publications to his credit in reputed international journals. He also presented papers at various National and International conferences. He received the patent right in Micropolar fluids from Intellectual Property of India in 2022 He is a member of the Indian Science Congress and Telangana State Mathematical Society. His research areas include Fluid mechanics, Heat, and Mass transfer.R. Srinivasa RajuDr. R. Srinivasa Raju is presently working as an Associate Professor at GITAM School of Science, GITAM (Deemed to be University), Hyderabad Campus, Rudraram, Hyderabad, Telangana state, India. He acquired his Doctorate in Applied Mathematics from Osmania University in 2012, and he also received his Master of Science in Applied Mathematics from Osmania University in 2005. He has over 115 publications in International and National reputed Journals. He also attended and paper presented in various National and International Conferences. He has published a book entitled Finite Element Technique on MHD Fluid Flow Problems by RIGI Publications. He serves as an editorial member for four international journals. He is a member of several National and International Mathematical Societies. He received the Srinivasa Ramanujan Life Time Achievement National Award in the year 2018. He has also received the Prestigious Award for Young Educator and Scholar Award from the National Foundation for Entrepreneurship Development (NFED) in the year 2018. He has produced 4 doctoral candidates. He is currently supervising 10 research scholars.M. Anil KumarDr. M. Anil kumar working as an Associate professor in the Department of Mathematics, at Anurag University. In the year 2020, he obtained his Doctorate from GITAM (Deemed to be University), Visakhapatnam, India, and in 2005, he received his Master of Science in Applied Mathematics from the National Institute of Technology Warangal. Dr. Anil kumar has over 18 years of teaching experience and over 8 years of research experience. He received the Best Teacher award from Anurag University for the academic year 2022-2023. He has 23 publications to his credit in reputed national and international journals. He received a SEED money project from Anurag University of Rs 2 lakhs for the Academic year 2021-22. He received the patent right in Micropolar fluids from Intellectual Property of India in 2022. He also presented papers at various National and International conferences. He is a member of several National and International Mathematical Societies. His research areas include Fluid mechanics, Heat, and Mass transfer. He is currently supervising one research scholar.Ch. VijayabhaskarDr. Ch. Vijayabhaskar is an Assistant Professor in the Department of Mathematics, Anurag University, and Hyderabad, India. He received his M.Sc. in Mathematics from Osmania University, Hyderabad, India. He received his Ph.D. degree in Applied Mathematics from GITAM University, Andra Pradesh, India. He qualified in Telangana State Eligibility Test (TS-SET). He is a Life member of APTSMS. He has more than eighteen years of experience in teaching and research. His current area of research studies includes Fluid dynamics, Magneto hydrodynamics, Heat and mass transfer. He has published many research papers in reputed journals and also attended many National and International conferences.
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来源期刊
INTERNATIONAL JOURNAL OF MODELLING AND SIMULATION
INTERNATIONAL JOURNAL OF MODELLING AND SIMULATION Engineering-Industrial and Manufacturing Engineering
CiteScore
6.10
自引率
32.30%
发文量
66
期刊介绍: This journal was first published in 1981 and covers languages, hardware, software, methodology, identification, numerical methods, graphical methods, VLSI, microcomputers in simulation, and applications in all fields. It appears quarterly.
期刊最新文献
Entropy optimization and stability analysis in flow of quadratic radiative Ag−MgO / water hybrid micropolar nanofluid over an exponentially contracting permeable Riga surface Computational analysis of revised Fourier and Fick’s law to investigate features of chemically reactive flow of nanofluid with microorganisms and activation energy Relaxation analysis and entropy simulation of triple diffusive slip effect on magnetically driven Casson fluid flow Artificial neural networks for the wavelet analysis of Lane-Emden equations: exploration of astrophysical enigma Peristaltic transport of hybrid nanofluid under the effects of thermal radiation through asymmetric curved geometry: a numerical approach
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