Conceptual diagram showing AI-based analysis and prediction of how powder characteristics and process conditions affect defects and component performance in metal 3D printing processes.
 (Source: Korea Institute of Materials Science (Kims))
Quality control in AM

AI enables defect-aware prediction of metal 3D-printed part quality

Metal additive manufacturing is moving fast in metalworking, but one issue still blocks wider shop-floor adoption: internal defects that don’t show up until parts fail in service. A team from Kims and the Max Planck Institute has developed an explainable AI model for laser powder bed fusion that evaluates not just how much porosity a part has, but what kind of pores form, where they sit, and how they weaken mechanical performance.

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Die & Mould India Expo 2026 will spotlight the latest developments and advanced technological innovations in tooling, mould-making, plastic injection moulding, and precision manufacturing.  (Source: Tagma)
Toolmaking in India

Die & Mould India Expo 2026 returns to Mumbai

India’s tooling industry will be back in focus when Die & Mould India Expo returns to Mumbai in April 2026. The 14th edition is set to build on strong momentum, bringing together global technology providers, machine builders and toolmakers to showcase advanced solutions across the entire die and mould value chain.

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Dominik Laa (Co-first author), Katharina Ehrmann (PI), Michael Göschl (Co-first author). (left to right) (Source: TU Wien)
Smart materials

Hidden QR codes from the 3D Printer

3D printing is extremely practical when you want to produce small quantities of customised components. However, this technology has always had one major problem: 3D printers can only process a single material at a time. Until now, objects with different material properties in different areas could only be 3D printed at great expense, if at all.

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