The future of industrial metal AM requires an integrated approach that connects all production processes into a single intelligent architecture, eliminating physical movements and operational delays. Winning factories do not improve individual steps, but redesign the entire flow as a system coordinated by a common layer of intelligence, automation, and shared data.

Titanium metamaterials, thanks to their geometric structure inspired by nature and produced with SLM 3D printing, absorb energy more efficiently and predictably than traditional materials. Designed to distribute stresses evenly, they offer a stable stress plateau during deformation, ideal for structural safety applications in the aerospace field.

Entry-level desktop 3D printing offers low costs but presents limitations in quality, materials, and reliability compared to industrial systems. Compromises on advanced materials, post-sales support, and longevity make a careful evaluation of actual production needs necessary before purchase.

Investors in additive manufacturing are increasingly focusing on operational efficiency and solid business models, leaving technological speculation behind. Businesses with stable contracts, sustainable margins, and the ability to generate real value in the production chain are being rewarded.

Aibuild OS is an AI platform that unifies the engineering workflow, integrating CAD, CAE, and CAM into a single intelligent environment. It eliminates fragmentation between tools, automates complex processes with “Digital Engineers,” and generates 3D models from text or 2D inputs, reducing errors and production times.

The industry is implementing bio-based sustainable materials on a large scale, integrating responsible agricultural supply chains, technological innovation and circular economy. Projects such as Pragati, Bio.3DGREEN and Virtucycle demonstrate how sustainability and industrial performance can coexist, thanks to strategic partnerships and standardization.

A new innovative method enables the automatic identification of 3D printed parts directly using CAD models, without the need to retrain machine learning models. Developed by KU Leuven, Materialise, and Iristick, the system leverages geometric representations and few-shot learning techniques to classify new parts quickly and efficiently, reducing times and

High-entropy refractory alloys are revolutionizing aerospace thanks to superior properties at extreme temperatures. Compared to traditional Inconel, they offer greater strength, lower weight, and better performance in applications such as combustion chambers, nozzles, and hypersonics. RCCAs, with disordered BCC structures, exceed melting and corrosion limits, opening up new possibilities for

Chemical vapor is revolutionizing the post-processing of 3D parts, offering smooth, waterproof, and repeatable finishes without material removal. Automated technologies like AMT PostPro eliminate production bottlenecks, reduce costs, and improve mechanical properties, making additive production scalable and certifiable for demanding industries.

The Additive Manufacturing Alliance, born from the union of Leading Minds and AM I Navigator, promotes the industrial integration of additive manufacturing through structured governance, standardization, and operational support.

The adoption of additive manufacturing in industry requires operational discipline, focus on defined part families, and rigorous process control. Technology alone is not enough: organizational management is needed to ensure reliability and repeatability. Winning applications are born where performance advantages outweigh complexity, such as in aerospace, medical, and tooling. Integration

Implementing the digital thread in additive manufacturing is now an operational necessity, no longer a futuristic vision. Multi-CAD integration requires reliable solutions to overcome interoperability barriers, ensure traceability, and maintain data consistency throughout the entire production cycle. Case studies and best practices show how middleware, clear governance, and hybrid toolchains can