Water injection molding technology (WIT) is getting more and more attention. And it's no wonder; the technology can produce high-quality, fast-cooling hollow parts on injection molding machines. Rhodia Engineering Plastics, a supplier of nylon 6 and 66, has taken steps to support this emerging technology. The company recently established its own WIT lab, complete with a water-injection-capable machine and mold. One focus of the company's applications development work will be automotive cooling components, which can take advantage of WIT's ability to make hollow parts with a constant wall thickness and smooth inner passageways. Other projects will investigate the use of WIT to evacuate plastic from the center of thick parts, which ultimately reduces weight and cost without lessening strength. Rhodia has also announced plans to develop new nylon grades specifically for the WIT process. Visit www.rhodia-ep.com for more information.
Robots that walk have come a long way from simple barebones walking machines or pairs of legs without an upper body and head. Much of the research these days focuses on making more humanoid robots. But they are not all created equal.
The IEEE Computer Society has named the top 10 trends for 2014. You can expect the convergence of cloud computing and mobile devices, advances in health care data and devices, as well as privacy issues in social media to make the headlines. And 3D printing came out of nowhere to make a big splash.
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 discussion will examine what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.