高孔隙介质中受Cattaneo-Christov双扩散和非线性滑移影响的微旋转化学反应杂化纳米材料

IF 3.1 Q1 ENGINEERING, MULTIDISCIPLINARY INTERNATIONAL JOURNAL OF MODELLING AND SIMULATION Pub Date : 2023-09-26 DOI:10.1080/02286203.2023.2259514
D. N. Dash, S. Shaw, D. N. Thatoi, M. K. Nayak
{"title":"高孔隙介质中受Cattaneo-Christov双扩散和非线性滑移影响的微旋转化学反应杂化纳米材料","authors":"D. N. Dash, S. Shaw, D. N. Thatoi, M. K. Nayak","doi":"10.1080/02286203.2023.2259514","DOIUrl":null,"url":null,"abstract":"ABSTRACTA simultaneous heat and mass transfer due to microrotating Darcy-Forchheimer flow of hybrid nanofluid over a moving thin needle is investigated. Darcy-Forchheimer medium accommodating hybrid nanofluid flow yields greater heat transfer rate, thereby leading to greater mass transfer rate over thin needle in industrial applications such as blood flow problems, aerodynamics, transportation, coating of wires, lubrication, and geothermal power generation. The thermophoresis and Brownian motion phenomena are introduced to enrich thermal treatment. Heat and mass transfer are accompanied by Cattaneo-Christov heat and mass flux. The hybrid nanofluid is radiative and dissipative in nature. Arrhenius pre-exponential factor law is introduced. Entropy generation analysis is carried out. The 4th order Runge-Kutta method along with shooting technique is devised to get requisite numerical solution of the transformed non-dimensional system of equations. Darcy-Forchheimer effect to simultaneous heat and mass transfer of microrotating hybrid nanofluid flow over thin needle subject to non-linear slip is the novelty of present study which is beyond of previous investigations. Rise in Forchheimer number (strengthening Darcy Forchheimer medium) leads to surface viscous drag decreases by 11.11% for hybrid nanofluid and 10.78% for pure nanofluid indicating the control of momentum transfer, thereby regulating heat transfer rate effectively.KEYWORDS: Thin needleDarcy-Forchheimer effecthybrid nanofluidCattaneo-Christov heat mass fluxArrhenius pre-exponential factor law Nomenclature(u,v)=velocity components in the axial and radial directionsms−1ρCphnf=specific heat capacity of hybrid nanofluidJkg2m3K−1ρCpbf=specific heat capacity of base fluidJkg2m3K−1ρCpCu=specific heat capacity of CuJkg2m3K−1ρCpAl2O3=specific heat capacity of Al2O3Jkg2m3K−1ρhnf=effective density of hybrid nanofluidkgm−3ρCu=density of Cukgm−3ρAl2O3=density of Al2O3kgm−3ρbf=density of base fluidkgm−3μhnf=effective dynamic viscosity ofhybrid nanofluidkgm−1s−1μbf=effective dynamic viscosity of base fluidkgm−1s−1βhnf=thermal expansion coefficient of hybrid nanofluidK−1βbf=thermal expansion coefficient of base fluidK−1βCu=thermal expansion coefficient of CuK−1βAl2O3=thermal expansion coefficient of Al2O3K−1khnf=thermal conductivity of hybrid nanofluidWm−1K−1kbf=thermal conductivity of base fluid Wm−1K−1kCu=thermal conductivity of CuWm−1K−1kAl2O3=thermal conductivity of Al2O3Wm−1K−1σ∗=Stefan-Boltzmann constantWm−2K−4k∗=mean absorption coefficientK=porous medium permeabilityk=vortex viscosityϕCu=volume fraction of CuϕAl2O3=volume fraction of Al2O3ϕ=overall nanoparticle volume fractionT=fluid temperature in the boundary layerKTs=temperature on the surface of thin needleKT∞=ambient fluid temperatureKT0=reference temperatureKC=concentration in the boundary layerCs=concentration on the surface of thin needleC∞=ambient concentrationC0=reference concentrationαhnf=thermal diffusivity of hybrid nanofluid m2s−1F=cbK∗=inertia coefficient in the porous mediumcb=drag coefficientFr=xcbK∗=local inertia coefficientδE=relaxation time of heat flux sδC=relaxation time of mass flux sDB=Brownian diffusion coefficientDT=thermophoretic diffusion coefficientτ=heat capacity ratiokr2=chemical reaction rate constantEa=activation energy (J)kB=Boltzmann constant J/moleKm=a constanthT=heat transfer coefficienthC=mass transfer coefficientγ∗=Navier’s slip length (m)ξ∗=inverse of critical shear ratesΥ=spin gradient viscosityΓ=material parameterj=microrotation viscosityλ=mixed convection parameterSc=Schmidt numberFr=Forchheimer numberRe=Reynolds numberPr=Prandtl numberNr=radiation parameterB=micropolar parameterEc=Eckert numberΩ=porosity parameterNt=Thermophoresis parameterNb=Brownian motion parameterε=ratio parameterBr=Brinkman numberST=thermal stratified parameterSC=solutal stratified parameterβT=thermal Biot numberβC=solutal Biot numberδ=temperature difference parameterδ∗=concentration difference parameterωE=Deborah number for heat fluxωC=Deborah number for mass fluxΛ=chemical reaction rateE=activation energyΠ=velocity slip parameterξ=modified critical shear rateAcknowledgmentsThe authors extend their appreciation to the Department of Science and Technology (DST), Govt. of India for funding this work under grant number (MTR/2021/000631).Disclosure statementNo potential conflict of interest was reported by the authors.Additional informationNotes on contributorsD. N. DashD.N. Dash is the research scholar in the department of Mechanical Engineering, ITER, Siksha ‘O’ Anusandhan (Deemed to be) University, Bhubaneswar-751030, Odisha, India.S. ShawDr. S.Shaw is currently working as Associate Professor, Department of Mathematics and Statistical Sciences, Botswana International University of Science and Technlology, Palapye, Botswana.D. N. ThatoiProf. D.N. Thatoi received Bachelor degree in Mechanical Engineering from IGIT, Sarang, Odisha, India 1990. He received Master degree from BPUT,Rourkela in 2006 and Ph.D. degree from Siksha ‘O’ Anusandhan deemed to be university, INDIA in 2015. Currently he is working as professor in Mechanical Engineering, Faculty of Engineering, Siksha ‘O’ Anusandhan deemed to be university. He has authored and co-authored in 100 journals and international conferences.M. K. NayakDr. M.K. Nayak is currently working as Associate Professor in the Department of Mechanical Engineering, Siksha ‘O’ Anusandhan Deemed to be University, Odisha, India. His research area includes Fluid Dynamics, Heat Transfer, Energy and Environment. His name has been appeared in the list of World’s Top 2% of Scientists awarded by Stanford University, USA in the years 2020,2021,2022 and 2023. He has published 150 research articles to his credit. He has guided 5 Ph.D students and 10 M.Sc students in the areas of Fluid Dynamics, Heat Transfer and Energy.","PeriodicalId":36017,"journal":{"name":"INTERNATIONAL JOURNAL OF MODELLING AND SIMULATION","volume":"70 1","pages":"0"},"PeriodicalIF":3.1000,"publicationDate":"2023-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Microrotating chemically reactive hybrid nanomaterial in a high porous medium influenced by Cattaneo-Christov double diffusion and non-linear slip\",\"authors\":\"D. N. Dash, S. Shaw, D. N. Thatoi, M. K. Nayak\",\"doi\":\"10.1080/02286203.2023.2259514\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ABSTRACTA simultaneous heat and mass transfer due to microrotating Darcy-Forchheimer flow of hybrid nanofluid over a moving thin needle is investigated. Darcy-Forchheimer medium accommodating hybrid nanofluid flow yields greater heat transfer rate, thereby leading to greater mass transfer rate over thin needle in industrial applications such as blood flow problems, aerodynamics, transportation, coating of wires, lubrication, and geothermal power generation. The thermophoresis and Brownian motion phenomena are introduced to enrich thermal treatment. Heat and mass transfer are accompanied by Cattaneo-Christov heat and mass flux. The hybrid nanofluid is radiative and dissipative in nature. Arrhenius pre-exponential factor law is introduced. Entropy generation analysis is carried out. The 4th order Runge-Kutta method along with shooting technique is devised to get requisite numerical solution of the transformed non-dimensional system of equations. Darcy-Forchheimer effect to simultaneous heat and mass transfer of microrotating hybrid nanofluid flow over thin needle subject to non-linear slip is the novelty of present study which is beyond of previous investigations. Rise in Forchheimer number (strengthening Darcy Forchheimer medium) leads to surface viscous drag decreases by 11.11% for hybrid nanofluid and 10.78% for pure nanofluid indicating the control of momentum transfer, thereby regulating heat transfer rate effectively.KEYWORDS: Thin needleDarcy-Forchheimer effecthybrid nanofluidCattaneo-Christov heat mass fluxArrhenius pre-exponential factor law Nomenclature(u,v)=velocity components in the axial and radial directionsms−1ρCphnf=specific heat capacity of hybrid nanofluidJkg2m3K−1ρCpbf=specific heat capacity of base fluidJkg2m3K−1ρCpCu=specific heat capacity of CuJkg2m3K−1ρCpAl2O3=specific heat capacity of Al2O3Jkg2m3K−1ρhnf=effective density of hybrid nanofluidkgm−3ρCu=density of Cukgm−3ρAl2O3=density of Al2O3kgm−3ρbf=density of base fluidkgm−3μhnf=effective dynamic viscosity ofhybrid nanofluidkgm−1s−1μbf=effective dynamic viscosity of base fluidkgm−1s−1βhnf=thermal expansion coefficient of hybrid nanofluidK−1βbf=thermal expansion coefficient of base fluidK−1βCu=thermal expansion coefficient of CuK−1βAl2O3=thermal expansion coefficient of Al2O3K−1khnf=thermal conductivity of hybrid nanofluidWm−1K−1kbf=thermal conductivity of base fluid Wm−1K−1kCu=thermal conductivity of CuWm−1K−1kAl2O3=thermal conductivity of Al2O3Wm−1K−1σ∗=Stefan-Boltzmann constantWm−2K−4k∗=mean absorption coefficientK=porous medium permeabilityk=vortex viscosityϕCu=volume fraction of CuϕAl2O3=volume fraction of Al2O3ϕ=overall nanoparticle volume fractionT=fluid temperature in the boundary layerKTs=temperature on the surface of thin needleKT∞=ambient fluid temperatureKT0=reference temperatureKC=concentration in the boundary layerCs=concentration on the surface of thin needleC∞=ambient concentrationC0=reference concentrationαhnf=thermal diffusivity of hybrid nanofluid m2s−1F=cbK∗=inertia coefficient in the porous mediumcb=drag coefficientFr=xcbK∗=local inertia coefficientδE=relaxation time of heat flux sδC=relaxation time of mass flux sDB=Brownian diffusion coefficientDT=thermophoretic diffusion coefficientτ=heat capacity ratiokr2=chemical reaction rate constantEa=activation energy (J)kB=Boltzmann constant J/moleKm=a constanthT=heat transfer coefficienthC=mass transfer coefficientγ∗=Navier’s slip length (m)ξ∗=inverse of critical shear ratesΥ=spin gradient viscosityΓ=material parameterj=microrotation viscosityλ=mixed convection parameterSc=Schmidt numberFr=Forchheimer numberRe=Reynolds numberPr=Prandtl numberNr=radiation parameterB=micropolar parameterEc=Eckert numberΩ=porosity parameterNt=Thermophoresis parameterNb=Brownian motion parameterε=ratio parameterBr=Brinkman numberST=thermal stratified parameterSC=solutal stratified parameterβT=thermal Biot numberβC=solutal Biot numberδ=temperature difference parameterδ∗=concentration difference parameterωE=Deborah number for heat fluxωC=Deborah number for mass fluxΛ=chemical reaction rateE=activation energyΠ=velocity slip parameterξ=modified critical shear rateAcknowledgmentsThe authors extend their appreciation to the Department of Science and Technology (DST), Govt. of India for funding this work under grant number (MTR/2021/000631).Disclosure statementNo potential conflict of interest was reported by the authors.Additional informationNotes on contributorsD. N. DashD.N. Dash is the research scholar in the department of Mechanical Engineering, ITER, Siksha ‘O’ Anusandhan (Deemed to be) University, Bhubaneswar-751030, Odisha, India.S. ShawDr. S.Shaw is currently working as Associate Professor, Department of Mathematics and Statistical Sciences, Botswana International University of Science and Technlology, Palapye, Botswana.D. N. ThatoiProf. D.N. Thatoi received Bachelor degree in Mechanical Engineering from IGIT, Sarang, Odisha, India 1990. He received Master degree from BPUT,Rourkela in 2006 and Ph.D. degree from Siksha ‘O’ Anusandhan deemed to be university, INDIA in 2015. Currently he is working as professor in Mechanical Engineering, Faculty of Engineering, Siksha ‘O’ Anusandhan deemed to be university. He has authored and co-authored in 100 journals and international conferences.M. K. NayakDr. M.K. Nayak is currently working as Associate Professor in the Department of Mechanical Engineering, Siksha ‘O’ Anusandhan Deemed to be University, Odisha, India. His research area includes Fluid Dynamics, Heat Transfer, Energy and Environment. His name has been appeared in the list of World’s Top 2% of Scientists awarded by Stanford University, USA in the years 2020,2021,2022 and 2023. He has published 150 research articles to his credit. He has guided 5 Ph.D students and 10 M.Sc students in the areas of Fluid Dynamics, Heat Transfer and Energy.\",\"PeriodicalId\":36017,\"journal\":{\"name\":\"INTERNATIONAL JOURNAL OF MODELLING AND SIMULATION\",\"volume\":\"70 1\",\"pages\":\"0\"},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2023-09-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"INTERNATIONAL JOURNAL OF MODELLING AND SIMULATION\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/02286203.2023.2259514\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"INTERNATIONAL JOURNAL OF MODELLING AND SIMULATION","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/02286203.2023.2259514","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

摘要

摘要研究了混合纳米流体在移动细针上微旋转达西-福希海默流动时的传热传质过程。Darcy-Forchheimer介质适应混合纳米流体流动产生更大的传热速率,从而导致更大的传质速率在细针在工业应用,如血液流动问题,空气动力学,运输,电线涂层,润滑,地热发电。引入热泳现象和布朗运动现象,丰富热处理工艺。热量和质量传递伴随着卡塔内奥-克里斯托夫热和质量通量。混合纳米流体具有辐射性和耗散性。介绍了阿伦尼乌斯指数前因子定律。进行了熵生成分析。采用四阶龙格-库塔法结合射击技术得到变换后的无量纲方程组的数值解。本文研究的Darcy-Forchheimer效应对微旋转杂化纳米流体在非线性滑移的细针上同时传热传质的影响是以往研究成果所不能及的。随着Forchheimer数的增加(增强Darcy Forchheimer介质),混合纳米流体的表面粘滞阻力减小11.11%,纯纳米流体的表面粘滞阻力减小10.78%,表明动量传递受到控制,从而有效地调节了传热速率。关键词:(u,v)=轴向和径向速度分量sms - 1ρCphnf=杂化纳米流体比热容jkg2m3k - 1ρCpbf=基流体比热容jkg2m3k - 1ρCpCu= CuJkg2m3K - 1ρCpCu= al2o3比热容jkg2m3k - 1ρ cpf =杂化纳米流体kgm - 3ρCu的有效密度= Cukgm - 3ρAl2O3的密度=密度Al2O3kgm−3ρbf=基流密度kgm−3μhnf=杂化纳米流体的有效动态粘度kgm−1s−1μbf=基流的有效动态粘度kgm−1s−1βhnf=杂化纳米流体的热膨胀系数k−1βbf=基流的热膨胀系数k−1βCu= CuK−1βAl2O3的热膨胀系数= Al2O3K−1khnf=杂化纳米流体的导热系数Wm−1K−1kbf=基流的导热系数Wm−1K−1kCu= CuWm−1K−1k2o3的导热系数= CuWm−1K−1kAl2O3的导热系数=热al2o3的电导率wm−1K−1σ∗= stefen - boltzmann常数twm−2K−4k∗=平均吸收系数entk =多孔介质渗透率k=涡流粘度yϕ cu = cuϕ的体积分数al2o3 = al2o3的体积分数φ =总的纳米颗粒体积分数t =边界层内流体温度kts =细针表面温度kt∞=环境流体温度kt0 =参考温度kc =边界层内浓度cs =细针表面浓度c∞=环境浓度c0 =参考αhnf=杂化纳米流体的热扩散系数m2s−1F=cbK∗=多孔介质中的惯性系数cb=阻力系数entfr =xcbK∗=局部惯性系数δ e =热流弛豫时间sδC=质量通量弛豫时间sDB=布朗扩散系数entdt =热反射扩散系数entτ=热容比r2=化学反应速率常数tea =活化能(J)kB=玻尔兹曼常数J/摩尔km =a常数t =传热系数enthc =传质系数γ∗=纳维耶滑移长度(m)ξ∗=临界剪切逆ratesΥ=自旋梯度viscosityΓ=材料参数j=微旋粘度λ=混合对流参数sc =施密特数fr =Forchheimer数re =雷诺数pr =Prandtl数bernr =辐射参数b=微极性参数ec =Eckert numberΩ=孔隙度参数nt =热疏水参数nb =布朗运动参数ε=比值参数br =Brinkman数st =热分层参数sc =溶质分层参数β t=热Biot数β c=溶质Biotnumberδ=温差参数δ∗=浓度差参数<e:1> e =黛博拉热流数<e:1> c =黛博拉质量数fluxΛ=化学反应速率ee =活化度energyΠ=速度滑移参数ξ=修正临界剪切率感谢印度政府科学技术部(DST)资助本研究,资助号为MTR/2021/000631。披露声明作者未报告潜在的利益冲突。附加信息:投稿人说明n DashD.N。Dash是Siksha ' O ' Anusandhan(被认为是)大学,印度奥里萨邦布巴内斯瓦尔751030,ITER机械工程系的研究学者。ShawDr。S.Shaw目前担任博茨瓦纳国际科技大学数学与统计科学系副教授,位于博茨瓦纳帕拉皮。n ThatoiProf。D.N. Thatoi于1990年获得印度奥里萨邦萨朗IGIT机械工程学士学位。 他于2006年获得Rourkela BPUT硕士学位,2015年获得印度Siksha ' O ' Anusandhan大学博士学位。目前,他在Siksha ' O ' Anusandhan被视为大学的工程学院担任机械工程教授。他在100种期刊和国际会议上发表了论文。k . NayakDr。M.K. Nayak目前在印度奥里萨邦的Siksha ' O ' Anusandhan大学机械工程系担任副教授。主要研究方向为流体力学、传热、能源与环境。他的名字出现在美国斯坦福大学在2020年,2021年,2022年和2023年颁发的世界前2%科学家名单中。他已经发表了150篇研究论文。他在流体动力学,传热和能量领域指导了5名博士生和10名硕士生。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Microrotating chemically reactive hybrid nanomaterial in a high porous medium influenced by Cattaneo-Christov double diffusion and non-linear slip
ABSTRACTA simultaneous heat and mass transfer due to microrotating Darcy-Forchheimer flow of hybrid nanofluid over a moving thin needle is investigated. Darcy-Forchheimer medium accommodating hybrid nanofluid flow yields greater heat transfer rate, thereby leading to greater mass transfer rate over thin needle in industrial applications such as blood flow problems, aerodynamics, transportation, coating of wires, lubrication, and geothermal power generation. The thermophoresis and Brownian motion phenomena are introduced to enrich thermal treatment. Heat and mass transfer are accompanied by Cattaneo-Christov heat and mass flux. The hybrid nanofluid is radiative and dissipative in nature. Arrhenius pre-exponential factor law is introduced. Entropy generation analysis is carried out. The 4th order Runge-Kutta method along with shooting technique is devised to get requisite numerical solution of the transformed non-dimensional system of equations. Darcy-Forchheimer effect to simultaneous heat and mass transfer of microrotating hybrid nanofluid flow over thin needle subject to non-linear slip is the novelty of present study which is beyond of previous investigations. Rise in Forchheimer number (strengthening Darcy Forchheimer medium) leads to surface viscous drag decreases by 11.11% for hybrid nanofluid and 10.78% for pure nanofluid indicating the control of momentum transfer, thereby regulating heat transfer rate effectively.KEYWORDS: Thin needleDarcy-Forchheimer effecthybrid nanofluidCattaneo-Christov heat mass fluxArrhenius pre-exponential factor law Nomenclature(u,v)=velocity components in the axial and radial directionsms−1ρCphnf=specific heat capacity of hybrid nanofluidJkg2m3K−1ρCpbf=specific heat capacity of base fluidJkg2m3K−1ρCpCu=specific heat capacity of CuJkg2m3K−1ρCpAl2O3=specific heat capacity of Al2O3Jkg2m3K−1ρhnf=effective density of hybrid nanofluidkgm−3ρCu=density of Cukgm−3ρAl2O3=density of Al2O3kgm−3ρbf=density of base fluidkgm−3μhnf=effective dynamic viscosity ofhybrid nanofluidkgm−1s−1μbf=effective dynamic viscosity of base fluidkgm−1s−1βhnf=thermal expansion coefficient of hybrid nanofluidK−1βbf=thermal expansion coefficient of base fluidK−1βCu=thermal expansion coefficient of CuK−1βAl2O3=thermal expansion coefficient of Al2O3K−1khnf=thermal conductivity of hybrid nanofluidWm−1K−1kbf=thermal conductivity of base fluid Wm−1K−1kCu=thermal conductivity of CuWm−1K−1kAl2O3=thermal conductivity of Al2O3Wm−1K−1σ∗=Stefan-Boltzmann constantWm−2K−4k∗=mean absorption coefficientK=porous medium permeabilityk=vortex viscosityϕCu=volume fraction of CuϕAl2O3=volume fraction of Al2O3ϕ=overall nanoparticle volume fractionT=fluid temperature in the boundary layerKTs=temperature on the surface of thin needleKT∞=ambient fluid temperatureKT0=reference temperatureKC=concentration in the boundary layerCs=concentration on the surface of thin needleC∞=ambient concentrationC0=reference concentrationαhnf=thermal diffusivity of hybrid nanofluid m2s−1F=cbK∗=inertia coefficient in the porous mediumcb=drag coefficientFr=xcbK∗=local inertia coefficientδE=relaxation time of heat flux sδC=relaxation time of mass flux sDB=Brownian diffusion coefficientDT=thermophoretic diffusion coefficientτ=heat capacity ratiokr2=chemical reaction rate constantEa=activation energy (J)kB=Boltzmann constant J/moleKm=a constanthT=heat transfer coefficienthC=mass transfer coefficientγ∗=Navier’s slip length (m)ξ∗=inverse of critical shear ratesΥ=spin gradient viscosityΓ=material parameterj=microrotation viscosityλ=mixed convection parameterSc=Schmidt numberFr=Forchheimer numberRe=Reynolds numberPr=Prandtl numberNr=radiation parameterB=micropolar parameterEc=Eckert numberΩ=porosity parameterNt=Thermophoresis parameterNb=Brownian motion parameterε=ratio parameterBr=Brinkman numberST=thermal stratified parameterSC=solutal stratified parameterβT=thermal Biot numberβC=solutal Biot numberδ=temperature difference parameterδ∗=concentration difference parameterωE=Deborah number for heat fluxωC=Deborah number for mass fluxΛ=chemical reaction rateE=activation energyΠ=velocity slip parameterξ=modified critical shear rateAcknowledgmentsThe authors extend their appreciation to the Department of Science and Technology (DST), Govt. of India for funding this work under grant number (MTR/2021/000631).Disclosure statementNo potential conflict of interest was reported by the authors.Additional informationNotes on contributorsD. N. DashD.N. Dash is the research scholar in the department of Mechanical Engineering, ITER, Siksha ‘O’ Anusandhan (Deemed to be) University, Bhubaneswar-751030, Odisha, India.S. ShawDr. S.Shaw is currently working as Associate Professor, Department of Mathematics and Statistical Sciences, Botswana International University of Science and Technlology, Palapye, Botswana.D. N. ThatoiProf. D.N. Thatoi received Bachelor degree in Mechanical Engineering from IGIT, Sarang, Odisha, India 1990. He received Master degree from BPUT,Rourkela in 2006 and Ph.D. degree from Siksha ‘O’ Anusandhan deemed to be university, INDIA in 2015. Currently he is working as professor in Mechanical Engineering, Faculty of Engineering, Siksha ‘O’ Anusandhan deemed to be university. He has authored and co-authored in 100 journals and international conferences.M. K. NayakDr. M.K. Nayak is currently working as Associate Professor in the Department of Mechanical Engineering, Siksha ‘O’ Anusandhan Deemed to be University, Odisha, India. His research area includes Fluid Dynamics, Heat Transfer, Energy and Environment. His name has been appeared in the list of World’s Top 2% of Scientists awarded by Stanford University, USA in the years 2020,2021,2022 and 2023. He has published 150 research articles to his credit. He has guided 5 Ph.D students and 10 M.Sc students in the areas of Fluid Dynamics, Heat Transfer and Energy.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1