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.

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

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.

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.

The integration between additive manufacturing and digital twin is revolutionizing the industry, enabling the transformation of virtual models into optimized physical components. This synergy reduces development times and costs, improves production efficiency, and allows for continuous innovation in sectors such as aerospace and energy.

Workflow automation in industrial 3D printing requires governance, standardized models, and clear control criteria. Only with these foundations can automation reduce times and costs, improving quality and repeatability.

Practical guide to transforming the metal factory into a single intelligent system: waste-free layout, shared data, AI that orchestrates additive, CNC, furnaces, and real-time quality control.

3D printing is revolutionizing architecture: models and concrete houses in days, zero waste, recycled materials and circular design for a sustainable future.

In 2025-26, 3D printing moves beyond experimentation: aerospace, medical, automotive, and defense integrate it into main lines, driven by investments, geopolitics, and reliable standards. Market from 40 to 250 billion by 2035: those who train and scale now will lead the manufacturing of the future.

3D scanning transforms real objects into editable and printable digital models, accelerating reverse engineering and production with precision up to 50 µm.