FREMONT, Calif.--(BUSINESS WIRE)--Velo3D, Inc. (NYSE: VLD), a leading metal additive manufacturing technology company for mission-critical parts, today announced Mears Machine Corporation, a leader in ...

In the evolving field of additive manufacturing, several innovations have emerged that have helped to drive the industry forward. From the development of advanced and multi-materials for 3D printing ...

Additive manufacturing (AM), often referred to as three-dimensional (3D) printing, has revolutionised modern production by enabling the layer-by-layer fabrication of parts with intricate geometries ...

Thanks to groundbreaking concepts such as generative design and topology optimization software, additive manufacturing is liberating design engineers in ways that were unfathomable even a decade ago.

What is the case for making production parts using additive manufacturing (AM)? Is the value to be found in the design freedom that allows for consolidating assemblies or optimizing geometry for ...

ALBUQUERQUE, N.M.--(BUSINESS WIRE)--Optomec Inc., a leader in production solutions for Metal Additive Manufacturing and 3D Printed Electronics, will showcase two new Additive Manufacturing machines at ...

For 100 years, GROB has been a globally active family-owned business engaged in the development and manufacture of equipment and machine tools. Its...READ MORE ...

In the early 1980s, machine tool builders added milling spindles to turning machines, and Multi-Tasking was born. Within a decade, the concept quickly progressed to machines that not only combined ...

Using machine learning to ensure that the pieces of an aircraft fit together more precisely -- thus cutting assembling and testing time-- is one of the users behind new technology being developed by ...

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EWI, an engineering research organization that focuses on materials joining and related technologies, recently entered into a development agreement with Ultra Tech Machinery to build “the first very ...

Machine learning-assisted metal additive manufacturing has been widely applied in performance optimization and control, such as process parameter optimization, structural optimization of formed parts, ...