Utilizing Python for numerical analysis of bioconvection in magnetized Casson-Maxwell nanofluid systems with gyrotactic microorganisms: An investigation of dominant factors
This study numerically investigates bioconvection in a magnetized Casson–Maxwell nanofluid with gyrotactic microorganisms using the Buongiorno model to analyze thermophoresis and Brownian motion effects. The Casson-Maxwell fluid model captures the complex rheological behavior of non-Newtonian fluids...
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| Language: | English |
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Elsevier
2025-03-01
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| Series: | Results in Engineering |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123024020036 |
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| author | Amirali Shateri Ali Mirzagoli Ganji Payam Jalili Bahram Jalili Davood Domiri Ganji |
| author_facet | Amirali Shateri Ali Mirzagoli Ganji Payam Jalili Bahram Jalili Davood Domiri Ganji |
| author_sort | Amirali Shateri |
| collection | DOAJ |
| description | This study numerically investigates bioconvection in a magnetized Casson–Maxwell nanofluid with gyrotactic microorganisms using the Buongiorno model to analyze thermophoresis and Brownian motion effects. The Casson-Maxwell fluid model captures the complex rheological behavior of non-Newtonian fluids and the dynamics of microorganism motion. Boundary conditions and governing equations are transformed into dimensionless forms for simulation via Python, using similarity and solve_bvp functions. Key findings show that increasing the magnetic parameter (Ma) from 0.1 to 0.5 reduces the velocity gradient near the surface by 20 %, while higher porosity (Pm = 0.5) decreases flow velocity by approximately 15 % due to increased medium resistance. Radiation (Ra = 0.5) and heat generation (Qm = 0.1) parameters enhance temperature profiles, raising the normalized temperature by 12 % at η=5. Due to reactive species consumption, higher chemical reaction rates (Kc = 0.1) and Schmidt number (Sc = 10) reduce concentration profiles by 18 % near the surface. The Peclet number (Pe = 10) decreases microorganism density by 25 % over the domain, balancing advective and diffusive transport. The study highlights the magnetic field's impact on skin friction for Casson and Casson–Maxwell fluids, providing valuable insights into bioconvection in reactive nanofluid systems for applications in thermal management systems, bioreactors, and energy devices. |
| format | Article |
| id | doaj-art-aaabdb81adc7478e962f3934e781bf2b |
| institution | Kabale University |
| issn | 2590-1230 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Results in Engineering |
| spelling | doaj-art-aaabdb81adc7478e962f3934e781bf2b2025-01-12T05:25:36ZengElsevierResults in Engineering2590-12302025-03-0125103760Utilizing Python for numerical analysis of bioconvection in magnetized Casson-Maxwell nanofluid systems with gyrotactic microorganisms: An investigation of dominant factorsAmirali Shateri0Ali Mirzagoli Ganji1Payam Jalili2Bahram Jalili3Davood Domiri Ganji4Department of Mechanical Engineering, North Tehran Branch, Islamic Azad University, Tehran, IranDepartment of Mechanical Engineering, Babol Noshirvani University of Technology, P.O. Box 484, Babol, IranDepartment of Mechanical Engineering, North Tehran Branch, Islamic Azad University, Tehran, IranDepartment of Mechanical Engineering, North Tehran Branch, Islamic Azad University, Tehran, Iran; Corresponding authors.Department of Mechanical Engineering, Babol Noshirvani University of Technology, P.O. Box 484, Babol, Iran; Corresponding authors.This study numerically investigates bioconvection in a magnetized Casson–Maxwell nanofluid with gyrotactic microorganisms using the Buongiorno model to analyze thermophoresis and Brownian motion effects. The Casson-Maxwell fluid model captures the complex rheological behavior of non-Newtonian fluids and the dynamics of microorganism motion. Boundary conditions and governing equations are transformed into dimensionless forms for simulation via Python, using similarity and solve_bvp functions. Key findings show that increasing the magnetic parameter (Ma) from 0.1 to 0.5 reduces the velocity gradient near the surface by 20 %, while higher porosity (Pm = 0.5) decreases flow velocity by approximately 15 % due to increased medium resistance. Radiation (Ra = 0.5) and heat generation (Qm = 0.1) parameters enhance temperature profiles, raising the normalized temperature by 12 % at η=5. Due to reactive species consumption, higher chemical reaction rates (Kc = 0.1) and Schmidt number (Sc = 10) reduce concentration profiles by 18 % near the surface. The Peclet number (Pe = 10) decreases microorganism density by 25 % over the domain, balancing advective and diffusive transport. The study highlights the magnetic field's impact on skin friction for Casson and Casson–Maxwell fluids, providing valuable insights into bioconvection in reactive nanofluid systems for applications in thermal management systems, bioreactors, and energy devices.http://www.sciencedirect.com/science/article/pii/S2590123024020036BioconvectionCasson-Maxwell nanofluidThermophoresis diffusionBrownian motionPython programming |
| spellingShingle | Amirali Shateri Ali Mirzagoli Ganji Payam Jalili Bahram Jalili Davood Domiri Ganji Utilizing Python for numerical analysis of bioconvection in magnetized Casson-Maxwell nanofluid systems with gyrotactic microorganisms: An investigation of dominant factors Results in Engineering Bioconvection Casson-Maxwell nanofluid Thermophoresis diffusion Brownian motion Python programming |
| title | Utilizing Python for numerical analysis of bioconvection in magnetized Casson-Maxwell nanofluid systems with gyrotactic microorganisms: An investigation of dominant factors |
| title_full | Utilizing Python for numerical analysis of bioconvection in magnetized Casson-Maxwell nanofluid systems with gyrotactic microorganisms: An investigation of dominant factors |
| title_fullStr | Utilizing Python for numerical analysis of bioconvection in magnetized Casson-Maxwell nanofluid systems with gyrotactic microorganisms: An investigation of dominant factors |
| title_full_unstemmed | Utilizing Python for numerical analysis of bioconvection in magnetized Casson-Maxwell nanofluid systems with gyrotactic microorganisms: An investigation of dominant factors |
| title_short | Utilizing Python for numerical analysis of bioconvection in magnetized Casson-Maxwell nanofluid systems with gyrotactic microorganisms: An investigation of dominant factors |
| title_sort | utilizing python for numerical analysis of bioconvection in magnetized casson maxwell nanofluid systems with gyrotactic microorganisms an investigation of dominant factors |
| topic | Bioconvection Casson-Maxwell nanofluid Thermophoresis diffusion Brownian motion Python programming |
| url | http://www.sciencedirect.com/science/article/pii/S2590123024020036 |
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