Researchers have shown that axial force and torque signals during friction plug welding can reveal hidden defects and predict layer-by-layer joint strength in thick 2219 aluminum alloy.
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AI system with smart eyes detects welding defects
Örebro researchers Rajesh Patil and Professor Magnus Löfstrand have developed an AI system that detects welding defects, reduces material waste, and supports sustainable manufacturing. Subscribe to ...
ESAB has introduced ROBBI AI, a new cobot system that uses physical artificial intelligence (AI) to sense and respond to real ...
New AI-powered cobot system makes real-time welding decisions, adapts to changing joint conditions and designed to learn from ...
Uncover the latest and most impactful research in Automated Weld Defect Detection Using Deep Learning. Explore pioneering discoveries, insightful ideas and new methods from leading researchers in the ...
ESAB has introduce ROBBI AI, a new cobot system that uses physical artificial intelligence (AI) to sense and respond to ...
Panasonic Connect has introduced Bead Eye M, an automated post-weld inspection system for its TAWERS robot welding platform.
Intel and John Deere recently collaborated to pilot an AI solution utilizing computer vision to automatically spot and correct defects in its automated welding process. Together they developed an ...
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