MUMBAI, India, Oct. 26 -- Intellectual Property India has published a patent application (202641122778 A) filed by Sathishkumar Natesan; N. Sathishkumar; Sanjay L; Sanjay P; Sankaran S; Sujith B; Steffin Michaela Mary S; Vishwa B; Suriya S; Vincent Samuel D; Dhanush K; and Amuthan A on October 13, 2026, for Voxel Wise: An Ai-Guided Multi-Material 3d Printing System With In-Situ Defect Mapping And Adaptive Voxel-Level Reinforcement.

Inventors include N. Sathishkumar; Sanjay L; Sanjay P; Sankaran S; Sujith B; Steffin Michaela Mary S; Vishwa B; Suriya S; Vincent Samuel D; Dhanush K; and Amuthan A.

The application for the patent was published on October 23, 2026, under issue no. 43/2026.

Abstract: The present invention relates to an intelligent additive manufacturing system that monitors each deposited layer of a three-dimensional (3D) printed component and selectively modifies subsequent deposition to compensate for manufacturing anomalies. The system integrates a multi-material extrusion assembly, synchronized optical and thermal sensing, an optional layer-inspection sensor, a voxel-based digital twin, a defect inference engine, and a constrained toolpath-replanning controller. During fabrication, the system collects layer images, nozzle pressure and temperature, filament or feed-rate information, and thermal profiles. These observations are registered to the intended toolpath and analyzed to identify probable under-extrusion, missing roads, poor interlayer bonding, dimensional deviations, or localized voids. Rather than rejecting the component or applying uniform over-printing, the controller generates a localized recovery strategy, including depositing compatible reinforcement material, changing bead width, adjusting infill or perimeter geometry in later layers, or pausing production when a defect cannot safely be recovered. Verification sensing checks the revised build before fabrication proceeds. The proposed architecture is intended to improve print reliability, material efficiency, and traceability in functional polymer and polymer-composite components. Its effectiveness depends on material compatibility, sensor resolution, and validated process limits.

Disclaimer: Curated by HT Syndication.