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Analysis of MHD Falkner–Skan Boundary Layer Flow and Heat Transfer Due to Symmetric Dynamic Wedge: A Numerical Study via the SCA-SQP-ANN Technique

  • Khon Kaen University
  • Abdul Wali Khan University Mardan
  • American University of the Middle East

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

This article considers Falkner–Skan flow over a dynamic and symmetric wedge under the influence of a magnetic field. The Hall effect on a magnetic field is negligible for small magnetic Reynolds numbers. The magnetic field (Formula presented.) is considered over x-axis, which is in line with the wedge i.e., parallel, while the flow is transverse over the y-axis. This study has numerous device-centric applications in engineering, such as power generators, cooling reactor and heat exchanger design, and MHD accelerators. The Third and second-ordered ordinary differential equations characterize the system. A novel hybrid computational technique is designed for the surrogate solutions of the Falkner–Skan flow system. The designed technique is based on the sine–cosine optimization algorithm and sequential quadratic programming. Reference solutions are calculated by using the Runge–Kutta numerical technique. Performance matrices evaluate the accuracy and stability of our surrogate solutions, mean-absolute deviation (MAD), root-mean-square error (RMSE), and error in Nash-–Sutcliffe efficiency (ENSE). Furthermore, graphical representations in terms of convergence graphs, mesh graphs, stem graphs, stairs plots, and boxplots are presented to establish the symmetry, reliability, and validity of our solutions.

Original languageEnglish
Article number2180
JournalSymmetry
Volume14
Issue number10
DOIs
StatePublished - Oct 2022

Keywords

  • dynamic parameters
  • dynamic wedge
  • heat transfer
  • heuristics
  • machine learning
  • magnetic field
  • nonlinear systems
  • sequential quadratic programming
  • sine–cosine algorithm

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