Engineering Plastics Stratasys' Stratasys Objet30 Pro The Stratasys Objet30 Pro is the ideal in-house prototyping solution for designers, engineers, and product managers. With a compact build tray size of 300 mm x 200 mm x 150 mm, its applications range from consumer goods to consumer electronics, medical devices, and design consultancies. The Stratasys Objet30 Pro combines the accuracy and versatility of a high-end rapid prototyping machine with the small footprint of a desktop printer. It allows for printing seven different materials with the industry’s highest-level print resolution, and is the world’s only desktop 3D printer capable of printing in clear transparent material, high-temperature resistant material, and rigid opaque polypropylene-like material. With the industry’s highest levels of prototyping accuracy and material versatility, the Stratasys Objet30 Pro dramatically cuts product development time and allows users to efficiently and reliably move from concept to design to final product creation.
Right off the bat we again see the importance of 3D printing with the very first finalist -- Objet 3D Pro. Wherever you go these days, discussions seem to turn to 3D printing, not only for 3D prototypes, but for parts that get used in test and even in production.
At the Design News webinar on June 27, learn all about aluminum extrusion: designing the right shape so it costs the least, is simplest to manufacture, and best fits the application's structural requirements.
For industrial control applications, or even a simple assembly line, that machine can go almost 24/7 without a break. But what happens when the task is a little more complex? That’s where the “smart” machine would come in. The smart machine is one that has some simple (or complex in some cases) processing capability to be able to adapt to changing conditions. Such machines are suited for a host of applications, including automotive, aerospace, defense, medical, computers and electronics, telecommunications, consumer goods, and so on. This radio show will show what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.