Bespoke manufacturing by design and on-demand is the ultimate goal for various fields ranging from biomaterials to structural materials. Today, additive manufacturing is a quick-moving, ...

3D printing creates solid objects from the additive process of layering plastics, metal, wood, synthetic fibers, and more. You can 3D-print your own designs using a ...

The speed of light has come to 3D printing. Engineers have developed a new method that uses light to improve 3D printing speed and precision while also, in combination with a high-precision robot arm, ...

Researchers have come up with a 3D printing method using liquid metal that's claimed to produce structures at least 10 times faster than existing metal additive manufacturing processes, though it does ...

China, 14th May 2024 - Today, Techbarco is proud to announce the launch of the new brand, Techbarco One-Stop Shop for Thermal Transfer Ribbons and Labels! Techbarco is dedicated to providing ...

Achieving accurate and precise color reproduction for traditional offset and modern digital print production is in the standards. In Printing-Process Control and Standardization, Robert Chung offers ...

Intrepid’s patented technology enables a “closed loop” of contemporaneous feedback/print run optimization during builds. Closed-loop operation results in vastly improved print quality: higher ...

Understanding how dislocations (line defects in the crystal structure) occur when 3D-printing metals has been unclear to materials scientists. Understanding when and how dislocations form in ...

It’s hard to compare predictions. Many predictions have different timeframes, focus on a specific part of 3D printing, or break up the technology into industries. These differences can make it hard to ...

However, industrial 3D printing machines differ greatly from traditional desktop printers. Besides the format of the machines and the prints, one major difference can be found in the material that is ...

Metal additive manufacturing (AM) experiments are slow and expensive. Engineers are using physics-informed neural networks to predict the outcomes of complex processes involved in AM. The team trained ...