Publication Type : Journal Article
Publisher : ZAMMJournal of Applied Mathematics and Mechanics/Zeitschrift fr Angewandte Mathematik und Mechanik
Source : ZAMMJournal of Applied Mathematics and Mechanics/ZeitschriftfrAngewandteMathematik und Mechanik 104, no. 12 (2024)
Campus : Bengaluru
School : School of Engineering
Department : Mathematics
Year : 2024
Abstract : The present investigation examines the circulation of and based nanofluids while considering the concentration of waste discharge. An innovative stacking regressor model is used to increase prediction accuracy. Using Shooting and Runge Kutta Fehlberg's fourth and fifthorder schemes, the governing equations are converted into ordinary differential equations using similarity transformation and then numerically solved. The findings are represented graphically, and the model's correctness is assessed using Gaussian Process Regression, Categorical Boost, Extreme Gradient Boosting, and Random Forest, with linear regression acting as a metamodel. The closely related testing and training data show the model's consistency and stability. Magnetic field and inclination angle will decline the velocity, space, and temperaturedependent internal heat generation factors will enhance the temperature. Raising the pollutant external source parameter raises concentration. In all the cases, shows better performance than based nanofluid. The work's application ranges from fluid dynamics to waste management. By offering precise forecasts of nanofluid concentration, the proposed prediction model may aid in designing and optimizing waste discharge systems.
Cite this Research Publication : Madhukesh, J. K., Mohammed Fareeduddin, Chandan K, Umair Khan, GadahAbdulrahman AlTref, Syed Modassir Hussain, K. V. Nagaraja, and Raman Kumar. "Implementation of stacking regressor model on the flow induced by TiO2H2O and Ti6Al4VH2O nanofluid with waste discharge concentration." ZAMMJournal of Applied Mathematics and Mechanics/ZeitschriftfrAngewandteMathematik und Mechanik 104, no. 12 (2024)