MUMBAI, India, Aug. 12 -- Intellectual Property India has published a patent application (202621075936 A) filed by Symbiosis International Deemed University on June 18, 2026, for Standalone Gui-Based Executable Application For Predicting Thermal Conductivity Of Hybrid Nanofluids Using Symbolic Regression Correlation.
Inventor includes Dr. Shreyas Rajendra Hole.
The application for the patent was published on August 07, 2026, under issue no. 32/2026.
Abstract: ABSTRACT STANDALONE GUI-BASED EXECUTABLE APPLICATION FOR PREDICTING THERMAL CONDUCTIVITY OF HYBRID NANOFLUIDS USING SYMBOLIC REGRESSION CORRELATION The present invention provides a standalone graphical user interface based executable application (100) for predicting the thermal conductivity of hybrid nanofluids. The application (100) comprises an input acquisition and validation module (110) with two-tier type and range checking for five physical parameters, a computational engine (120) that evaluates a symbolic regression derived correlation computing hybrid nanofluid thermal conductivity as a function of base fluid thermal conductivity, nanoparticle volume fraction, temperature, nanoparticle thermal conductivity, and particle sphericity, a visualization module (130) that generates conductivity comparison charts and parametric sweep plots, and a result display and export module (140) presenting computed values, enhancement percentages, and validation status. The application (100) is packaged as a single self-contained executable file (150) incorporating the programming language interpreter and all dependencies, requiring no runtime installation, programming knowledge, or external dependencies. The modular architecture enables future extension to additional thermophysical property correlations. [
Disclaimer: Curated by HT Syndication.
