MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202641042683 A) filed by Environmental And Geo Spatial Solutions, Chennai, Tamil Nadu, on April 2, for 'recovering critical minerals from fly ash to reduce india's strategic import dependency.'
Inventor(s) include Dr. M. Suresh Gandhi; Ms. Padma Polavarapu; Mr. Harikumar Polavarapu; Mr. A. Sivakumar; Soumi De; and Dr. Swapnila Roy.
The application for the patent was published on April 17, under issue no. 16/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses an AI-enabled system for recovering critical minerals from fly ash, designed to transform industrial waste into a strategic resource and reduce India's dependence on imported minerals. The system comprises a multi-source fly ash data acquisition module for collecting inputs including material composition profiles, particle size distribution, thermal power plant output streams, process parameters, and chemical reagent usage from industrial sensors and analytical platforms. A material characterization and AI-based process optimization engine processes and maps the collected inputs to determine optimal extraction conditions, processing pathways, and recovery efficiency. A multi-stage extraction and separation unit employs techniques such as acid or alkaline leaching, solvent extraction, ion exchange, and selective precipitation to recover critical minerals including rare earth elements, alumina, silica, and iron. An AI-driven analytics unit applies machine learning techniques to identify process inefficiencies, predict recovery outcomes, and optimize operational parameters across varying fly ash compositions. A visualization and reporting module generates real-time and longitudinal recovery heat-maps, mineral concentration indicators, and performance analytics. The system further includes an automated process control and feedback mechanism to initiate parameter adjustments, alerts, and corrective actions upon detection of deviations or inefficiencies. The invention enables efficient, scalable, and sustainable recovery of critical minerals, enhances resource utilization, and supports data-driven industrial operations and strategic mineral security. FIG. 1 illustrates the overall architecture of the AI-enabled critical mineral recovery system, including data acquisition, process optimization, extraction, monitoring, and integration components."
Disclaimer: Curated by HT Syndication.
