What is it about?
This research developed a system that uses fuzzy logic (a type of artificial intelligence) to predict the shape and size of weld beads in Wire Arc Additive Manufacturing (WAAM). WAAM is a type of metal 3D printing that builds parts layer by layer using welding. The study focuses on predicting bead geometry when the welding torch is tilted or moved out of the ideal vertical position.
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Why is it important?
In real-world manufacturing, large or complex metal parts often cannot be rotated to keep the welding torch in an ideal position. This can affect the quality and accuracy of the printed part. Our system helps predict the weld bead shape in these "out-of-position" cases, making the process more reliable. This means better-quality 3D-printed metal parts with fewer defects, even in complex orientations . A big step forward for industrial-scale additive manufacturing.
Perspectives
Most previous research focused on ideal, flat welding positions. This study goes further by analyzing and modeling the bead formation in difficult, tilted positions, which are more practical in real applications. By using fuzzy logic, the model handles the complexity and uncertainty of the welding process and achieves high accuracy. This opens the door to smarter, more flexible 3D printing systems that can adapt to real-world challenges.
Mustafa Abdulrazaq
University of Technology
Read the Original
This page is a summary of: Out-Of-Position Bead Geometry Prediction in Wire Arc Additive Manufacturing (WAAM) Using Fuzzy Logic-Based System, Management Systems in Production Engineering, February 2025, De Gruyter,
DOI: 10.2478/mspe-2025-0005.
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