MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202541134551 A) filed by Vallurupalli Nageswara Rao Vignana Jyothi Institute Of Engineering And Technology, Hyderabad, Telangana, on Dec. 31, 2025, for 'analysis of thermo-viscous fluid flows for the design of aircraft wings.'
Inventor(s) include Dr. N. Pothanna; Dr. C. Jyotsna; Dr. T. Kusuma; Dr. K. Ajay Kumar; Dr. D. Srinivasa Rao; and Dr. Adigoppula Raju.
The application for the patent was published on Jan. 9, under issue no. 02/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses a physics-informed neural network (PINN) based computational framework for modeling and predicting thermo-viscous fluid flow behavior over aircraft wing structures. The framework integrates governing physical laws, including momentum and energy conservation equations, directly into a neural network training process using automatic differentiation. The proposed system predicts continuous velocity and temperature fields without reliance on mesh-based discretization or extensive labeled datasets. Boundary and initial conditions associated with wing surfaces and flow domains are enforced through a composite loss function, ensuring physically consistent solutions. The invention enables accurate analysis of boundary layer behavior, viscous dissipation, heat transfer, flow separation, and vorticity under varying aerodynamic and thermal conditions. The PINN framework adapts efficiently to changes in wing geometry, Reynolds number, angle of attack, and thermal loading. By reducing computational cost and overcoming limitations of conventional computational fluid dynamics methods, the invention provides an effective tool for aircraft wing design optimization, thermal management analysis, and aerodynamic performance enhancement."
Disclaimer: Curated by HT Syndication.
