MUMBAI, India, Oct. 26 -- Intellectual Property India has published a patent application (202611114798 A) filed by Chandigarh University on September 25, 2026, for Computational Framework For Predicting Mixed Convective Magnetized Micropolar Nanofluid Flow Over A Stretching Surface.
Inventor includes Mamta Devi.
The application for the patent was published on October 23, 2026, under issue no. 43/2026.
Abstract: The invention relates to computational thermo-fluid mechanics and discloses a computer-implemented framework for predicting mixed convective magnetized micro polar Nano fluid flow over a stretching surface. The framework defines a generalized Buongiorno model incorporating magneto hydrodynamic effects, Brownian motion, thermophoresis and Cattaneo-Christov heat and mass fluxes, formulates coupled momentum, energy, concentration and micro rotation equations, and transforms them into dimensionless ordinary differential equations. A fourth-order Runge-Kutta numerical engine generates reference datasets for training, validation and testing. A stochastic Levenberg-Marquardt backpropagation neural network with Bayesian regularization learns the parameter-response relationship and predicts velocity, temperature, concentration, skin-friction and heat and mass transfer characteristics. Mean square error, regression and error-histogram analyses provide validation for rapid engineering analysis.
Disclaimer: Curated by HT Syndication.
