Plastometrex's MultiScale technology revolutionizes non-destructive testing through microscale mechanical analysis. It enables the characterization of thin or complex components, with thicknesses up to 0.75 mm, without damaging them. Using indenters of different sizes and a spacing of 1.5 mm, it generates high-resolution maps of mechanical properties, revealing local variations invisible to the

Researchers from IMDEA Materials Institute and UPM have developed metamaterials in 3D printed Nitinol with interwoven structures that restore superelasticity, overcoming the limits of traditional 3D printing. Thanks to geometries inspired by fabrics, it is possible to obtain advanced biomedical devices and smart actuators, opening new perspectives for clinical and engineering applications

Industrial adoption of 3D printing in non-traditional sectors, such as automation, robotics, and energy infrastructure, is growing thanks to structured operational plans. By integrating digital design, simulations, and rapid production, companies like Boston Dynamics and Siemens are optimizing products and processes, reducing costs, times, and the number of components.

The convergence between additive manufacturing and retail is redefining custom production, extending it from consumer goods to industrial sectors. Thanks to 3D printing, it is possible to produce multiple variants without additional costs, while artificial intelligence manages design complexity. Retail points are transforming into production and data collection nodes, enabling personalization

Large-scale Directed Energy Deposition utilizes real-time melt pool monitoring, targeted deposition, and dynamic modeling to ensure precision, metallurgical quality, and thermal control during the production and repair of large metal components.

In-process metrology in metal additive manufacturing enables precise measurement during production, ensuring repeatable and scalable quality. Unlike traditional monitoring, it provides quantitative and traceable data, reducing the reliance on costly post-process inspections. Technologies such as optical fringes allow for real-time 3D measurements, improving affi

Automation of build preparation in additive manufacturing reduces errors and time through standardized and repeatable processes. Solutions like AMIS Runtime enable intelligent nesting and continuous optimization, increasing density and production flexibility. Benefits include fewer human errors, greater machine efficiency, and cost reduction. Integration requires val

Post-processing and debinding are crucial stages in additive manufacturing that determine the quality, strength, and finish of components. Technologies such as vapor smoothing and chemical debinding improve surface and structural properties, making parts ready for industrial use.

Surgical planning with 3D anatomical models is revolutionizing medical education, offering realistic and personalized simulations for surgeon training. Thanks to multi-layer printing technology and radiological data, it is possible to faithfully recreate human tissues, allowing for simulated interventions without risk to patients. Models, used in university and cli

preFlight is a new open source slicer that renews the traditional architecture to improve precision, stability, and the management of technical debt accumulated in legacy slicers like PrusaSlicer. Designed with modern standards, it supports 64-bit pipelines, updated libraries, and innovations like Athena Perimeter Generator and Interlocking Perimeters, aiming for greater reliability and performance in the

Formlabs announces a leadership change with Rob Willett joining the board, while Carl Bass leaves after eight years. Willett, former CEO of Cognex, brings expertise in automation and machine vision, marking a strategic shift for the company aiming to expand its influence in professional additive manufacturing and prepare for a potential IPO.

Artificial intelligence is revolutionizing industrial 3D printing, enabling real-time controls, automatic corrections, and waste reduction. Through advanced sensing and predictive models, AI systems monitor and optimize parameters such as temperature and speed, improving production quality, efficiency, and reliability.