Artificial intelligence neural network and fuzzy modelling of unsteady Sisko trihybrid nanofluids for cancer therapy with entropy insights
Abstract The main objective of the current endeavor is to monitor hypothetical processes utilizing a Sisko tri-hybrid fluid over a rotating disk with entropy generation suspended in Darcy-Forchheimer porous medium. Electro Magneto Hydro Dynamics (EMHD), non-linear thermal radiation and exponential a...
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Nature Portfolio
2024-11-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-024-79495-9 |
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| author | A. Divya Thandra Jithendra Muhammad Jawad Taoufik Saidani Qasem M. Al-Mdallal Abeer A. Shaaban |
| author_facet | A. Divya Thandra Jithendra Muhammad Jawad Taoufik Saidani Qasem M. Al-Mdallal Abeer A. Shaaban |
| author_sort | A. Divya |
| collection | DOAJ |
| description | Abstract The main objective of the current endeavor is to monitor hypothetical processes utilizing a Sisko tri-hybrid fluid over a rotating disk with entropy generation suspended in Darcy-Forchheimer porous medium. Electro Magneto Hydro Dynamics (EMHD), non-linear thermal radiation and exponential and thermal- space dependent heat source/sink coefficients are considered with the intent of conceiving an Runge-Kutta-Fehlberg method with shooting procedures integrated with a combination of an Adaptive Neuro-Fuzzy Inference System (ANFIS) and Reptile Search Algorithm (RSA). Then, ANFIS-RSA, is used to predict the Nusselt number, skin friction co-efficient in radial and tangential velocities. Reliable self-similarity variables have reduced a non-linear partial differential set of equations into an ordinary differential equation. According to the empirical evidence, Sisko fluid parameter rises the radial velocity whereas for magnetic field and Darcy-Forchheimer the azimuthal and axial velocities visualizations decreasing trend, respectively. The entropy generation and Bejan number rises for electric and radiation effects. Also, ANFIS-RSA indicates that the model attained a high level of precision in terms of radial velocity (98.13%), tangential velocity (98.18%) and Nusselt number (98.91%). Thus, the longer rendering of the nanoparticles used here might, makes them potentially helpful for regulating the therapeutic impact in the management and treatment of cancer. |
| format | Article |
| id | doaj-art-1493b73aa7124a65b17dcfd7e7d0a2be |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Nature Portfolio |
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| spelling | doaj-art-1493b73aa7124a65b17dcfd7e7d0a2be2024-11-17T12:25:31ZengNature PortfolioScientific Reports2045-23222024-11-0114113010.1038/s41598-024-79495-9Artificial intelligence neural network and fuzzy modelling of unsteady Sisko trihybrid nanofluids for cancer therapy with entropy insightsA. Divya0Thandra Jithendra1Muhammad Jawad2Taoufik Saidani3Qasem M. Al-Mdallal4Abeer A. Shaaban5School of Technology, The Apollo UniversityDepartment of Mathematics, Koneru Lakshmaiah Education FoundationDepartment of Mathematics, The University of FaisalabadDepartment of Computer Sciences Faculty of Computing and Information Technology, Northern Border UniversityDepartment of Mathematical Sciences, UAE UniversityDepartment of Management Information Systems, College of Business and Economics, Qassim UniversityAbstract The main objective of the current endeavor is to monitor hypothetical processes utilizing a Sisko tri-hybrid fluid over a rotating disk with entropy generation suspended in Darcy-Forchheimer porous medium. Electro Magneto Hydro Dynamics (EMHD), non-linear thermal radiation and exponential and thermal- space dependent heat source/sink coefficients are considered with the intent of conceiving an Runge-Kutta-Fehlberg method with shooting procedures integrated with a combination of an Adaptive Neuro-Fuzzy Inference System (ANFIS) and Reptile Search Algorithm (RSA). Then, ANFIS-RSA, is used to predict the Nusselt number, skin friction co-efficient in radial and tangential velocities. Reliable self-similarity variables have reduced a non-linear partial differential set of equations into an ordinary differential equation. According to the empirical evidence, Sisko fluid parameter rises the radial velocity whereas for magnetic field and Darcy-Forchheimer the azimuthal and axial velocities visualizations decreasing trend, respectively. The entropy generation and Bejan number rises for electric and radiation effects. Also, ANFIS-RSA indicates that the model attained a high level of precision in terms of radial velocity (98.13%), tangential velocity (98.18%) and Nusselt number (98.91%). Thus, the longer rendering of the nanoparticles used here might, makes them potentially helpful for regulating the therapeutic impact in the management and treatment of cancer.https://doi.org/10.1038/s41598-024-79495-9Sisko tri-hybrid nanofluidANFIS-RSAEntropy generationExponential and thermal space dependent heat source/SinkEMHD |
| spellingShingle | A. Divya Thandra Jithendra Muhammad Jawad Taoufik Saidani Qasem M. Al-Mdallal Abeer A. Shaaban Artificial intelligence neural network and fuzzy modelling of unsteady Sisko trihybrid nanofluids for cancer therapy with entropy insights Scientific Reports Sisko tri-hybrid nanofluid ANFIS-RSA Entropy generation Exponential and thermal space dependent heat source/Sink EMHD |
| title | Artificial intelligence neural network and fuzzy modelling of unsteady Sisko trihybrid nanofluids for cancer therapy with entropy insights |
| title_full | Artificial intelligence neural network and fuzzy modelling of unsteady Sisko trihybrid nanofluids for cancer therapy with entropy insights |
| title_fullStr | Artificial intelligence neural network and fuzzy modelling of unsteady Sisko trihybrid nanofluids for cancer therapy with entropy insights |
| title_full_unstemmed | Artificial intelligence neural network and fuzzy modelling of unsteady Sisko trihybrid nanofluids for cancer therapy with entropy insights |
| title_short | Artificial intelligence neural network and fuzzy modelling of unsteady Sisko trihybrid nanofluids for cancer therapy with entropy insights |
| title_sort | artificial intelligence neural network and fuzzy modelling of unsteady sisko trihybrid nanofluids for cancer therapy with entropy insights |
| topic | Sisko tri-hybrid nanofluid ANFIS-RSA Entropy generation Exponential and thermal space dependent heat source/Sink EMHD |
| url | https://doi.org/10.1038/s41598-024-79495-9 |
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