MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202641042674 A) filed by Dr Chada Radhika; and N Sudheer Kumar, Warangal, Telangana, on April 2, for 'enhancement of tribological properties of mild steel by metal oxide-based polymer nanocomposite coatings using machine learning.'

Inventor(s) include Dr Chada Radhika; and N Sudheer Kumar.

The application for the patent was published on May 29, under issue no. 22/2026.

According to the abstract released by the Intellectual Property India: "The current disclosure pertains to a machine learning-aided system and process of improving the tribological characteristics of mild steel by using metal oxide-based polymer nanocomposite coatings. Surface preparation processes are then applied to mild steel substrates to enhance the coating adhesion and compatibility of the surfaces. Metal oxide nanoparticles such as titanium dioxide, aluminum oxide, zinc oxide, and silicon dioxide, among others, are reinforced in a polymer matrix to create a nanocomposite coating formulation. The ready nanocomposite coating is applied on the mild steel surface through controlled coating methods, where it is cured to produce a uniform and durable layer of the coating. The coated samples are tested under specific tribological conditions to ascertain performance parameters like wear rate, coefficient of friction, and surface degradation properties. The tribological testing results are collected and used in an organized manner to teach machine learning models that can learn complex and non-linear relationships between coating composition, processing parameters, and tribological performance. The trained models forecast the optimal formulations of coating and deposition conditions to achieve improved wear resistance and less friction. The suggested system allows optimizing the parameters of the coating based on the data, which will save time on the trials and errors in the development. Constant updating of machine learning models with new experimental data also enhances the accuracy of prediction and coating performance. The invention offers a smart, scalable, and efficient means of enhancing the service life and tribological performance of mild steel components that are applied in industrial applications."

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