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NEURAL NETWORKS PARADIGM FOR ROTATING FLOW OF JEFFREY FLUID WITH HEAT TRANSFER BETWEEN TWO PARALLEL HORIZONTAL PLATES.

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Title: NEURAL NETWORKS PARADIGM FOR ROTATING FLOW OF JEFFREY FLUID WITH HEAT TRANSFER BETWEEN TWO PARALLEL HORIZONTAL PLATES.
Authors: MAHARIQ, Ibrahim1,2,3,4, ISLAM, Saeed5 sislam@pmu.edu.sa, ALI, Ishtiaq6, FIZA, Mehreen7, AKBAR, Ajed7, ABAS, Syed Arshad7, ULLAH, Hakeem7 hakeemullah1@gmail.com, AKGUL, Ali4,8,9,10 aliakgul00727@gmail.com
Source: Thermal Science. 2025, Vol. 29 Issue 5A, p3681-3696. 16p.
Subjects: Rotating fluid, Prandtl number, Back propagation, Heat transfer fluids, Reynolds number
Abstract: The current research explores the analysis of heat transfer in the rotating Jeffrey fluid between two parallel plates, employing the BLMS-ANN approach based on the back propagation Levenberg-Marquardt scheme. The fluid-flow is initially described by a system of PDE, which is subsequently transformed into a system of ODE through appropriate correspondence transformations and boundary conditions. Eventually, the equations are rendered dimensionless using a boundary-layer approximation. By changing parameters including the radiation parameter, Rd, Deborah number, λ, viscosity parameter, R, Prandtl number, Reynolds number, and Rotation parameter, kr, using the differential transform method, a group of data for suggested BLMS-ANN is constructed for several cases. To assess the predicted outcomes for specific scenarios, the BLMS-ANN methodology undergoes testing validation and training. Subsequently, the proposed model is scrutinized for confirmation. The validity of the suggested BLMS-ANN approach is confirmed through regression analysis, examination of mean square error, and histogram studies. The suggested method differs from both the proposed and reference results with an accuracy level between. [ABSTRACT FROM AUTHOR]
Copyright of Thermal Science is the property of Society of Thermal Engineers of Serbia and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: NEURAL NETWORKS PARADIGM FOR ROTATING FLOW OF JEFFREY FLUID WITH HEAT TRANSFER BETWEEN TWO PARALLEL HORIZONTAL PLATES.
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  Data: <searchLink fieldCode="AR" term="%22MAHARIQ%2C+Ibrahim%22">MAHARIQ, Ibrahim</searchLink><relatesTo>1,2,3,4</relatesTo><br /><searchLink fieldCode="AR" term="%22ISLAM%2C+Saeed%22">ISLAM, Saeed</searchLink><relatesTo>5</relatesTo><i> sislam@pmu.edu.sa</i><br /><searchLink fieldCode="AR" term="%22ALI%2C+Ishtiaq%22">ALI, Ishtiaq</searchLink><relatesTo>6</relatesTo><br /><searchLink fieldCode="AR" term="%22FIZA%2C+Mehreen%22">FIZA, Mehreen</searchLink><relatesTo>7</relatesTo><br /><searchLink fieldCode="AR" term="%22AKBAR%2C+Ajed%22">AKBAR, Ajed</searchLink><relatesTo>7</relatesTo><br /><searchLink fieldCode="AR" term="%22ABAS%2C+Syed+Arshad%22">ABAS, Syed Arshad</searchLink><relatesTo>7</relatesTo><br /><searchLink fieldCode="AR" term="%22ULLAH%2C+Hakeem%22">ULLAH, Hakeem</searchLink><relatesTo>7</relatesTo><i> hakeemullah1@gmail.com</i><br /><searchLink fieldCode="AR" term="%22AKGUL%2C+Ali%22">AKGUL, Ali</searchLink><relatesTo>4,8,9,10</relatesTo><i> aliakgul00727@gmail.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Thermal+Science%22">Thermal Science</searchLink>. 2025, Vol. 29 Issue 5A, p3681-3696. 16p.
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  Data: <searchLink fieldCode="DE" term="%22Rotating+fluid%22">Rotating fluid</searchLink><br /><searchLink fieldCode="DE" term="%22Prandtl+number%22">Prandtl number</searchLink><br /><searchLink fieldCode="DE" term="%22Back+propagation%22">Back propagation</searchLink><br /><searchLink fieldCode="DE" term="%22Heat+transfer+fluids%22">Heat transfer fluids</searchLink><br /><searchLink fieldCode="DE" term="%22Reynolds+number%22">Reynolds number</searchLink>
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  Label: Abstract
  Group: Ab
  Data: The current research explores the analysis of heat transfer in the rotating Jeffrey fluid between two parallel plates, employing the BLMS-ANN approach based on the back propagation Levenberg-Marquardt scheme. The fluid-flow is initially described by a system of PDE, which is subsequently transformed into a system of ODE through appropriate correspondence transformations and boundary conditions. Eventually, the equations are rendered dimensionless using a boundary-layer approximation. By changing parameters including the radiation parameter, Rd, Deborah number, λ, viscosity parameter, R, Prandtl number, Reynolds number, and Rotation parameter, kr, using the differential transform method, a group of data for suggested BLMS-ANN is constructed for several cases. To assess the predicted outcomes for specific scenarios, the BLMS-ANN methodology undergoes testing validation and training. Subsequently, the proposed model is scrutinized for confirmation. The validity of the suggested BLMS-ANN approach is confirmed through regression analysis, examination of mean square error, and histogram studies. The suggested method differs from both the proposed and reference results with an accuracy level between. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
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  Data: <i>Copyright of Thermal Science is the property of Society of Thermal Engineers of Serbia and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.2298/TSCI2505681M
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        Text: English
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        PageCount: 16
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    Subjects:
      – SubjectFull: Rotating fluid
        Type: general
      – SubjectFull: Prandtl number
        Type: general
      – SubjectFull: Back propagation
        Type: general
      – SubjectFull: Heat transfer fluids
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      – SubjectFull: Reynolds number
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      – TitleFull: NEURAL NETWORKS PARADIGM FOR ROTATING FLOW OF JEFFREY FLUID WITH HEAT TRANSFER BETWEEN TWO PARALLEL HORIZONTAL PLATES.
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              M: 05
              Text: 2025
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