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.

One of the UK’s leading providers of additive manufacturing (AM) solutions is targeting a multi-million pound opportunity after introducing new industrial scale, production-grade technology to its offering.

What if the factories building tomorrow’s aerospace components, medical devices, and clean energy systems could do so without fueling the climate crisis? That future is now within reach — thanks to groundbreaking research .

Lego’s new Holiday Express Train hides a historic innovation: the first-ever 3D-printed element in a retail Lego set — a tiny blue locomotive that signals a new era in brick design.

The winners of the 2025 Formnext Awards have been announced! On 20 November, this year’s Formnext honored the most outstanding contributions to Additive Manufacturing in six categories.

Rising costs, limited availability, and growing complexity make material selection a significant challenge. Digital sourcing helps secure the right materials quickly and flexibly, remaining reliable even when global supply chains are under immense pressure.

With a new subsidiary in Milan, Replique is reinforcing its commitment to the European manufacturing sector. The Italian branch expands the company’s capacity to deliver on-demand production using 3D printing, CNC and injection moulding technologies.

After years of delivering ultra-hard 3D-printed metals, VBN Components now introduces Vibenite 130 — a tough, high-strength alloy engineered for fatigue-resistant applications. The launch at Formnext 2025 marks a new step in combining hardness, durability and sustainable near-net-shape manufacturing.

At Formnext 2025, Krauss Maffei will present the Powerprint Flex together with a matching tool — a modular 3D printing system designed for relatively large components.

As skilled workers retire and factories become more international, manufacturers face the risk of losing critical process know-how. A new AI system developed at KAIST combines generative models and large language models to optimise injection moulding processes while transferring expert knowledge directly to operators in multiple languages.