Case Study: Volum-e Reduces Metal Support Removal by 50% Using Materialise e-Stage
The open diamond structure of the supports generated by Materialise e-Stage doesnt just make it possible to recover larger amounts of expensive metal powder, it also significantly reduces the risks related to HSE.
NVBots Sold to Ohio Manufacturer as 3D Printing Interest Grows
Jeff Engel for Xconomy: NVBots was founded by MIT students who were frustrated that the 3D printers they were using lacked capabilities for remotely collaborating on the design of parts and for controlling the printer.
Adidas is using robots to produce small-batch, local-market shoes
Greg Nichols for ZDNet: It's an early step in a bold experiment by a global retailer to use time-saving robots to design small-batch collections, a departure from the mass production methods employed by global shoe and apparel brands.
3D Printing Objects on a Belt Just Became a lot Easier
JP Buntinx for The Merkle: The Printrbelt prints objects on the belt and then moves down the Z axis to get the object onto the surface below
ETH zurich builds DFAB HOUSE using robots and 3D printers
DesignBoom.com: Built using a two-meter high construction robot, the machine works by moving autonomously on caterpillar tracks.
Volkswagen Taps Ultimaker for Customized Tool Production
By 3D Printing Gauges, Jigs and Fixtures On-Demand and On-Site, Manufacturing Facility Saves an Average of Eight Weeks in Production
How This $28 Million Startup Hopes to Save the World With 3D Printing
Stephen J Bronner for Entrepreneur: Divergent 3D, founded by a one-time investor and two-time entrepreneur, holds patents on technologies that allow carmakers to print vehicles.
3D printer inks from the woods
This technology can be used to fabricate microstructures with outstanding mechanical properties, which have promising potential uses in implants and other biomedical applications.
World's Largest Search Engine for 3D Printable Models Launched
After a developing period of 1.5 years 3D Ninja, the largest reseller of 3D printers in The Netherlands, officially launches http://www.ifind3d.com, the world's largest search engine for 3D printable models, containing 740.029 designs.
The Blackbelt lets you 3D print really long items
John Biggs for TechCrunch: The Blackbelt Kickstarter will launch in three days and you can expect the system to cost about 9,500 for a desktop system or 12,500 euro for a larger system with standing supports.
3D printing gets faster, with help from a vat of goo
Ben Coxworth for New Atlas: A collaboration between MIT's Self-Assembly Lab, Steelcase and product designer Christophe Guberan, however, has resulted in a new technique known as Rapid Liquid Printing - it can reduce the time of some 3D print jobs from hours to minutes.
Desktop Metal Is Set to Change How Metal Is Manufactured with the Fastest Metal 3D Printing System in the World
For the First Time, Affordable, Safe and Precise Metal 3D Printing for Both Prototyping and Mass Production Will Be a Reality Across Industries - at Speeds 100x Faster
Belgian company takes 3D printing to chocolate
Jack Schofield and Waverly Colville for Reuters: Layer by layer, 0.2 millimeters at a time, a specialized printing machine at Belgian chocolate shop Miam Factory applies melted chocolate to shape a three-dimensional object.
Carbon SpeedCell™: Additive Manufacturing Reinvented
Carbon the Silicon Valley-based additive manufacturing company, today announced the launch of SpeedCell, a system of securely connected products designed to upend traditional methods of manufacturing. The first components of the SpeedCell include two new products that provide a powerful solution for additive manufacturing at scale: The M2, a robust, industrial-grade 3D printer built with manufacturers in mind; and the Smart Part Washer that enables optimal cleaning and easy finishing of parts.
Carbon's Continuous Liquid Interface Production (CLIP) technology coupled with the SpeedCell system enables previously impossible designs, from single-part combinations of complex assemblies to un-moldable and un-millable geometries like lattices, while also minimizing the tooling and prototyping stages of the design process to go directly to end-use part production. Manufacturers can now cost-effectively and quickly introduce new products, produce localized products for specific markets, provide inventory on-demand, and explore a breadth of other business models. Full Press Release:
MakerBot is laying off a third of its staff, narrowing focus under Stratasys
Shawn Knight for TechSpot: 3D printing ordinary household goods may be able to save users a bit of coin but consumers aren’t buying it – literally – and that’s forcing one company to downsize its workforce.
In what is becoming a common occurrence, MakerBot recently announced additional restructuring that’ll see the company shed 30 percent of its staff.
CEO Nadav Goshen said greater focus on long-term goals is key to their success and to get there, they must reduce the “pressure and distraction” of chasing short-term market trends and focus on their core products.
The executive didn’t say which divisions would be hit hardest, nor do we know exactly how many employees are being let go although TechCrunch estimates the figure is probably between 80 and 100.
Specifically, MakerBot will be integrating hardware and software product development under one team that’ll be led by VP of Engineering Dave Veisz. Current Director of Digital Products, Lucas Levin, is also being promoted to VP of Product, we’re told, and will lead product management across hardware and software. Cont'd...
Records 46 to 60 of 72
First | Previous | Next | Last
Featured Product
Using AI to Collect & Leverage Data
Data is the foundation of Industry 4.0. While skilled workers will always be essential, data is reshaping the manufacturing landscape, enabling automation of repetitive tasks, empowering smarter decision-making with AI assistance, and reducing defects and downtime. This shift allows small and medium-sized manufacturers (SMMs) to compete more effectively on quality, speed, and cost. While AI and machine learning systems typically require around two years to collect enough data to reach their full potential, manufacturers can start seeing benefits almost immediately with basic analysis tools and dashboards. Our MEP National NetworkTM expert explains how in this Manufacturing Tomorrow article.
