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.

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.

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.

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.

Industrial 3D printing is a reality: it requires gradual integration, advanced materials, digital workflows, and measured ROI to scale successfully.

New 3D printing generates metal-ceramic composite in situ: components come out already resistant to wear, cutting times and costs of post-treatments.