India's Automation Magazine
Metals & Heavy Engineering
Industrial Software & Digital Twin
Digital Twin
Researchers have developed a methodology for creating digital twins and digital shadows of existing electro-hydraulic machinery in steel plants. The approach uses production data, data cleaning, model selection and validation to represent existing equipment digitally and support improved analysis and optimization. Read More →
17 Sep 2026 - Imprint News Desk
Machine Vision & Inspection
AI / Deep-Learning Vision
Prevas and Alleima have developed and verified a machine-vision system for automated inspection of advanced steel tubes. Cameras capture the tube surface during production while an AI-based image-analysis system identifies surface defects in real time, replacing a previously manual inspection process. Read More →
16 Sep 2026 - Imprint News Desk
Robotics & Autonomous Systems
Welding Robots
Researchers have developed an adaptive robotic GMAW system for multi-layer, multi-pass welding of steel box-column structures. The system uses data-driven planning to compensate for geometric variations and achieved full compliance with ultrasonic testing and demanding structural-welding criteria in validation trials. Read More →
15 Sep 2026 - Imprint News Desk
Robotics & Autonomous Systems
Articulated Industrial Robots
At the Spain Foundry Congress 2026, Polytec highlighted robotic automation for sampling, temperature measurement, deslagging and ladle/furnace maintenance. The applications are designed to remove operators from hazardous environments while improving process repeatability, safety and productivity. Read More →
24 Sep 2026 - Imprint News Desk
Machine Vision & Inspection
AI / Deep-Learning Vision
The American Welding Society highlighted AI-powered machine vision for robotic welding, where vision-enabled intelligence helps address variability in structural fabrication. The approach allows robotic welding systems to respond more effectively to changing workpiece conditions than fixed-program automation. Read More →
