MUMBAI, India, March 13 -- Intellectual Property India has published a patent application (202641025348 A) filed by Madhankumar C; Mr Ganeshgir Dashrathgir Gosavi; Mr. Rajesh Shankarrao Gorde; Mr Patil Nilesh Pandurang; and Mr Atul Vasant Talape, Pollachi, Tamil Nadu, on March 3, for 'a self-adaptive smart heat transfer system with real-time surface morphing for ultra-efficient thermal regulation in mechanical systems.'
Inventor(s) include Mr Ganeshgir Dashrathgir Gosavi; Mr. Rajesh Shankarrao Gorde; Mr Patil Nilesh Pandurang; and Mr Atul Vasant Talape.
The application for the patent was published on March 13, under issue no. 11/2026.
According to the abstract released by the Intellectual Property India: "A Self-Adaptive Smart Heat Transfer System with Real-Time Surface Morphing for Ultra-Efficient Thermal Regulation in Mechanical Systems Abstract Thermal inefficiency remains one of the primary constraints in modern mechanical and electromechanical systems, particularly in high-performance engines, power electronics, renewable energy modules, aerospace assemblies, and industrial automation platforms. Conventional heat transfer mechanisms rely on static geometries and passive materials, limiting adaptability under fluctuating thermal loads. This paper proposes a Self-Adaptive Smart Heat Transfer System (SASHTS) integrated with Real-Time Surface Morphing Technology to dynamically optimize heat dissipation and thermal regulation in response to changing operational conditions. The proposed system employs a hybrid architecture combining embedded micro actuation networks, shape-memory alloys (SMA), electroactive polymers, and AI-driven thermal sensing modules. Real-time thermal data acquired through distributed micro-temperature sensors is processed using a lightweight adaptive neural optimization model that predicts heat flux variations and activates controlled surface morphing. The surface topology dynamically alters micro-fin density, channel orientation, and surface roughness to maximize convective and radiative heat transfer efficiency. Unlike traditional static heat sinks, the morphing surface enables variable geometry cooling, enhancing boundary layer disruption and increasing effective surface area only when required. The system integrates phase-change materials (PCM) with intelligent flow control mechanisms to regulate transient thermal spikes. Experimental simulations indicate potential improvements in thermal efficiency of up to 35-60% compared to conventional fixed-geometry systems, while reducing energy consumption associated with active cooling. The proposed architecture is scalable across micro-electronic cooling, automotive thermal management, industrial turbines, and renewable energy storage systems. The innovation lies in its real-time morphing capability, AI-based predictive control, and self-optimizing thermal adaptation mechanism, making it suitable for next-generation smart mechanical infrastructures. This work contributes a novel adaptive heat transfer paradigm that merges smart materials, embedded intelligence, and dynamic geometry control, paving the way for ultra-efficient, energy-aware thermal management systems."
Disclaimer: Curated by HT Syndication.
